Repository: TheRealDalunacrobate/DaProfiler Branch: main Commit: e932cd86ec1f Files: 37 Total size: 174.9 KB Directory structure: gitextract_0eokzll_/ ├── .github/ │ ├── ISSUE_TEMPLATE/ │ │ ├── bug_report.md │ │ ├── custom.md │ │ └── feature_request.md │ └── workflows/ │ ├── easyRun.yml │ └── testCode.yml ├── .gitignore ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── modules/ │ ├── api_modules/ │ │ └── leakcheck_net.py │ ├── config/ │ │ └── config.json │ ├── diplomes/ │ │ └── last_diplomes.py │ ├── face_recognition/ │ │ ├── face_recon.py │ │ └── lbpcascade_frontalface.xml │ ├── google_dorking.py │ ├── mail/ │ │ ├── indic.txt │ │ ├── mail_check.py │ │ ├── mail_domain.txt │ │ ├── mail_gen.py │ │ └── scylla_sh.py │ ├── official_documents/ │ │ ├── death_records.py │ │ ├── dirigeants_bfmtv.py │ │ └── pagesblanches_search.py │ ├── phone/ │ │ └── phone_search.py │ ├── report.json │ ├── social_medias/ │ │ ├── copainsdavant_search.py │ │ ├── facebook_search.py │ │ ├── instagram_search.py │ │ ├── linkedin_search.py │ │ ├── skype_search.py │ │ ├── soundcloud.py │ │ ├── twitter_search.py │ │ └── wattpad_search.py │ └── visual/ │ └── logging.py ├── profiler.py └── requirements.txt ================================================ FILE CONTENTS ================================================ ================================================ FILE: .github/ISSUE_TEMPLATE/bug_report.md ================================================ --- name: Bug report about: Create a report to help us improve title: '' labels: '' assignees: '' --- **Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Go to '...' 2. Click on '....' 3. Scroll down to '....' 4. See error **Expected behavior** A clear and concise description of what you expected to happen. **Screenshots** If applicable, add screenshots to help explain your problem. **Desktop (please complete the following information):** - OS: [e.g. iOS] - Browser [e.g. chrome, safari] - Version [e.g. 22] **Smartphone (please complete the following information):** - Device: [e.g. iPhone6] - OS: [e.g. iOS8.1] - Browser [e.g. stock browser, safari] - Version [e.g. 22] **Additional context** Add any other context about the problem here. ================================================ FILE: .github/ISSUE_TEMPLATE/custom.md ================================================ --- name: Custom issue template about: Describe this issue template's purpose here. title: '' labels: '' assignees: '' --- ================================================ FILE: .github/ISSUE_TEMPLATE/feature_request.md ================================================ --- name: Feature request about: Suggest an idea for this project title: '' labels: '' assignees: '' --- **Is your feature request related to a problem? Please describe.** A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] **Describe the solution you'd like** A clear and concise description of what you want to happen. **Describe alternatives you've considered** A clear and concise description of any alternative solutions or features you've considered. **Additional context** Add any other context or screenshots about the feature request here. ================================================ FILE: .github/workflows/easyRun.yml ================================================ name: Daprofiler Easy run on: workflow_dispatch: inputs: name: runners: description: 'nom' required: true default: 'marie' lastname: runners: description: 'prenom' required: true default: 'lacourt' permissions: contents: read jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Set up Python 3.10 uses: actions/setup-python@v3 with: python-version: "3.10" - name: Install dependencies run: | python -m pip install --upgrade pip if [ -f requirements.txt ]; then pip install -r requirements.txt; fi - name: Test code simple args run: | python profiler.py -n ${{ github.event.inputs.name }} -ln ${{ github.event.inputs.lastname }} ================================================ FILE: .github/workflows/testCode.yml ================================================ name: Daprofiler test on: push: branches: [ "main" ] permissions: contents: read jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Set up Python 3.10 uses: actions/setup-python@v3 with: python-version: "3.10" - name: Install dependencies run: | python -m pip install --upgrade pip if [ -f requirements.txt ]; then pip install -r requirements.txt; fi - name: Test code simple args run: | python profiler.py -n marie -ln lacourt - name: Test code JSON mode run: | python profiler.py -n marie -ln lacourt --json true ================================================ FILE: .gitignore ================================================ hub/__pycache__/* modules/__pycache__/* modules/visual/__pycache__/* modules/api_modules/__pycache__/* Reports/* hub_reports/* !user/exemple.txt !hub_reports/.notEmpty ================================================ FILE: CODE_OF_CONDUCT.md ================================================ # Contributor Covenant Code of Conduct ## Our Pledge We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community. ## Our Standards Examples of behavior that contributes to a positive environment for our community include: * Demonstrating empathy and kindness toward other people * Being respectful of differing opinions, viewpoints, and experiences * Giving and gracefully accepting constructive feedback * Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience * Focusing on what is best not just for us as individuals, but for the overall community Examples of unacceptable behavior include: * The use of sexualized language or imagery, and sexual attention or advances of any kind * Trolling, insulting or derogatory comments, and personal or political attacks * Public or private harassment * Publishing others' private information, such as a physical or email address, without their explicit permission * Other conduct which could reasonably be considered inappropriate in a professional setting ## Enforcement Responsibilities Community leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful. Community leaders have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, and will communicate reasons for moderation decisions when appropriate. ## Scope This Code of Conduct applies within all community spaces, and also applies when an individual is officially representing the community in public spaces. Examples of representing our community include using an official e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. ## Enforcement Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at daluna_pro@protonmail.ch. All complaints will be reviewed and investigated promptly and fairly. All community leaders are obligated to respect the privacy and security of the reporter of any incident. ## Enforcement Guidelines Community leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct: ### 1. Correction **Community Impact**: Use of inappropriate language or other behavior deemed unprofessional or unwelcome in the community. **Consequence**: A private, written warning from community leaders, providing clarity around the nature of the violation and an explanation of why the behavior was inappropriate. A public apology may be requested. ### 2. Warning **Community Impact**: A violation through a single incident or series of actions. **Consequence**: A warning with consequences for continued behavior. No interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, for a specified period of time. This includes avoiding interactions in community spaces as well as external channels like social media. Violating these terms may lead to a temporary or permanent ban. ### 3. Temporary Ban **Community Impact**: A serious violation of community standards, including sustained inappropriate behavior. **Consequence**: A temporary ban from any sort of interaction or public communication with the community for a specified period of time. No public or private interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, is allowed during this period. Violating these terms may lead to a permanent ban. ### 4. Permanent Ban **Community Impact**: Demonstrating a pattern of violation of community standards, including sustained inappropriate behavior, harassment of an individual, or aggression toward or disparagement of classes of individuals. **Consequence**: A permanent ban from any sort of public interaction within the community. ## Attribution This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 2.0, available at https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. Community Impact Guidelines were inspired by [Mozilla's code of conduct enforcement ladder](https://github.com/mozilla/diversity). [homepage]: https://www.contributor-covenant.org For answers to common questions about this code of conduct, see the FAQ at https://www.contributor-covenant.org/faq. Translations are available at https://www.contributor-covenant.org/translations. ================================================ FILE: CONTRIBUTING.md ================================================ No contribution allow before Daprofiler v2 ================================================ FILE: LICENSE ================================================ GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The GNU General Public License is a free, copyleft license for software and other kinds of works. The licenses for most software and other practical works are designed to take away your freedom to share and change the works. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change all versions of a program--to make sure it remains free software for all its users. 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But first, please read . ================================================ FILE: README.md ================================================ ![alt text](https://github.com/daprofiler/DaProfiler/blob/main/files/DaProfiler_Logo.png?raw=true) ![](https://visitor-badge.laobi.icu/badge?page_id=TheRealDalunacrobate.daprofiler) DaProfiler is an OSINT tool capable of tracing the digital identity of a target via social networks, emails, public information such as directories, business listings, etc. DaProfiler is also able to check if a face appears on the profile photos of returned accounts. DaProfiler can bring you a lot in the context of a search for email addresses on a French target using various techniques of mail guessing, mail swapping using the first and last name of your target. The developers inform you that you are responsible for the uses and actions you make of DaProfiler, this tool is above all a big data awareness tool, created to search for a person with his agreement and allow him to remove malicious traces of his digital identity to protect themselves. Input : Name , Last Name
Output : email addresses, landline numbers, physical addresses, social networks, work history, photos, etc. #### Installation Python 3.8 & Mozilla Firefox required. ```bash git clone https://github.com/TheRealDalunacrobate/DaProfiler.git cd DaProfiler pip install -r requirements.txt ``` #### Connect to LinkedIN API + Go to [modules\linkedin_search](https://github.com/daprofiler/DaProfiler/blob/main/modules/social_medias/linkedin_search.py) then add your creditentials. ## Demo ![alt text](https://i.ibb.co/XSzG90S/Capture-censored.jpg) ## Contributions All suggestions are welcome. ## Code parts used under license and authors + [Palenath - Instagram Advanced Lookup Function](https://github.com/megadose/toutatis) ================================================ FILE: modules/api_modules/leakcheck_net.py ================================================ import leakcheck from leakcheck import LeakCheckAPI from colorama import Fore def leak_check_api(mail): full_results = [] api = LeakCheckAPI() """ GET YOUR KEY AT https://leakcheck.net/ """ keyy = "YOUR_KEY" # PUT YOUR KEY HERE ONLY if keyy == "YOUR_KEY": return None else: try: api.set_key(keyy) api.set_type("email") api.set_query(mail) result = api.lookup(with_sources=1)[0:10] # LIMIT OF RESULTS == 10 YOU CAN CHANGE THIS VALUE TO PRINT MORE RESULTS for i in result: try: password = i['line'] except IndexError: password = None try: leak_name = i['sources'] except IndexError: leak_name = None try: leak_date = i['last_breach'] except IndexError: leak_date = None dict_res = { 'password':password, 'leak_name':str(leak_name).replace("'","").replace("[","").replace("]",""), 'leak_date':leak_date } full_results.append(dict_res) if len(full_results) == 0: return None return full_results except: return None ================================================ FILE: modules/config/config.json ================================================ { "extension": { "Extension1":"pdf", "Extension2":"docx", "Extension3":false } } ================================================ FILE: modules/diplomes/last_diplomes.py ================================================ import requests from bs4 import BeautifulSoup def last_diplomes_bac(name,pren): url = f'https://resultats.etudiant.lefigaro.fr/resultats-bac/recherche?name={pren} {name}&city_label=&city_insee=' r = requests.get(url) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) profiles = soup.find_all('td',{'class':'svelte-11did2l'}) listt = [] for i in profiles: if len(listt) == 1: subject = listt[0] link = "https://resultats.etudiant.lefigaro.fr"+subject.split('href="')[1].split('">')[0] academie = None mention = None ville = None diplome = None r = requests.get(link) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) mention = soup.find('span',{'class':'block text-4xl text-red'}).text.split('"')[1].split('"')[0] diplome = soup.find('p',{'class':'text-grey-600 mb-1'}).text.strip() academie = soup.find('div',{'class':'flex flex-col items-center sm:flex-row flex-wrap gap-5'}).text.split(',')[1].strip() city = soup.find('a',{'class':'capitalize underline'}).text.strip() json_output = { 'Exists':True, 'academie':academie, 'Link':link, 'mention':mention, 'ville':city, 'Diplome':diplome } return json_output elif len(listt) == 0: profile = str(i).lower() if pren.lower() in profile and name.lower() in profile: listt.append(profile) def last_diplomes_brevet(name,pren): url = f'https://resultats.etudiant.lefigaro.fr/resultats-brevet/recherche?name={pren} {name}&city_label=&city_insee=' r = requests.get(url) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) profiles = soup.find_all('div',{'class':'bg-white p-2'}) for i in profiles: profile = str(i).lower() if pren.lower() in profile and name.lower() in profile: url = "https://resultats.etudiant.lefigaro.fr"+profile.split('href')[1].split('"')[1] r = requests.get(url) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) profile = soup.find('div',{'class':'box'}) mention = soup.find('span',{'class':'block text-4xl text-red'}) diplome = soup.find('p',{'class':'text-grey-600 mb-1'}) diplome = str(diplome).split('text-grey-600 mb-1">')[1].split('

')[0] nom_prenom = str(profile).split('h1>')[1].split('')[1].split('')[0] academie = str(profile).split('(')[1].split(')')[0] mention = str(mention).split('class="block text-4xl text-red">')[1].split('')[0] json_output = { 'Exists':True, "Name":nom_prenom.strip(), 'academie':academie, 'Link':url, 'mention':mention, 'ville':ville, 'Diplome':diplome } return json_output ================================================ FILE: modules/face_recognition/face_recon.py ================================================ import requests import io from PIL import Image import numpy as np import cv2 def contains_face(image_url): response = requests.get(image_url) image = response.content image = Image.open(io.BytesIO(image)) image_np = np.asarray(image) face_cascade = cv2.CascadeClassifier(r'modules\face_recognition\lbpcascade_frontalface.xml') gray = cv2.cvtColor(image_np, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30)) return len(faces) > 0 def check(image_url): if contains_face(image_url): return True else: return None ================================================ FILE: modules/face_recognition/lbpcascade_frontalface.xml ================================================ BOOST LBP 24 24 GAB 0.9950000047683716 0.5000000000000000 0.9500000000000000 1 100 256 20 <_> 3 -0.7520892024040222 <_> 0 -1 46 -67130709 -21569 -1426120013 -1275125205 -21585 -16385 587145899 -24005 -0.6543210148811340 0.8888888955116272 <_> 0 -1 13 -163512766 -769593758 -10027009 -262145 -514457854 -193593353 -524289 -1 -0.7739216089248657 0.7278633713722229 <_> 0 -1 2 -363936790 -893203669 -1337948010 -136907894 1088782736 -134217726 -741544961 -1590337 -0.7068563103675842 0.6761534214019775 <_> 4 -0.4872078299522400 <_> 0 -1 84 2147483647 1946124287 -536870913 2147450879 738132490 1061101567 243204619 2147446655 -0.8083735704421997 0.7685696482658386 <_> 0 -1 21 2147483647 263176079 1879048191 254749487 1879048191 -134252545 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075969:SFR 075777:SFR 075778:SFR 075787:SFR 0759:SFR 076000:Bouygues Telecom 076001:Bouygues Telecom 076002:Bouygues Telecom 076003:Bouygues Telecom 076004:Bouygues Telecom 076005:Bouygues Telecom 076006:Bouygues Telecom 076007:Bouygues Telecom 076008:Bouygues Telecom 076009:Bouygues Telecom 07601:Bouygues Telecom 07602:Bouygues Telecom 07603:Bouygues Telecom 07604:Bouygues Telecom 07605:Bouygues Telecom 07606:Bouygues Telecom 07607:Bouygues Telecom 07608:Bouygues Telecom 07609:Bouygues Telecom 0761:Bouygues Telecom 0762:Bouygues Telecom 0763:Bouygues Telecom 0764:Bouygues Telecom 0766:Free Mobile 0767:Free Mobile 0768:Free Mobile 0769:Free Mobile 07700:SFR et Orange 07701:SFR et Orange 07702:SFR et Orange 07703:SFR et Orange 07704:SFR et Orange 07705:SFR 07706:SFR 07707:SFR 07708:SFR 07709:SFR 07705:SFR 07706:SFR 07707:SFR 07708:SFR 07710:SFR 07711:SFR 07712:SFR 0777:SFR 0778:SFR 0779:SFR 07800:Afone6 SFR 07801:Afone6 SFR 07802:Afone6 SFR 07803:Afone6 SFR 07804:Afone6 SFR 07805:Afone6 SFR 07806:Afone6 SFR 0781:Free Mobile 0782:Free Mobile 0783:Free Mobile 078413:Orange France 0785:Orange France 078600:Orange France 078601:Orange France 078602:Orange France 078603:Orange France 078604:Orange France 078605:Orange France 078606:Orange France 078607:Orange France 078608:Orange France 078609:Orange France 0786:Orange France 07861:Orange France 07862:Orange France 07863:Orange France 07864:Orange France 07865:Orange France 07866:Orange France 07867:Orange France 07868:Orange France 07869:Orange France 0787:Orange France 07870:Orange France 07871:Orange France 07872:Orange France 07873:Orange France 07874:Orange France 07875::Orange France 07876::Orange France 07877::Orange France 07878:Orange France 07879::Orange France 07872:Orange France 07873:Orange France 07874:Orange France 07875:Orange France 07876:Orange France 07877:Orange France 07878:Orange France 07879:Orange France 07880:Orange France 07881:Orange France 07882:Orange France 07883:Orange France 07884:Orange France 07885:Orange France 0789:Orange France ================================================ FILE: modules/mail/mail_check.py ================================================ import requests def verify(mail): try: response = requests.get("https://isitarealemail.com/api/email/validate",timeout=1.5,params = {'email': mail},headers = {'Authorization': "Bearer " + "21a3f468-1c3a-43d6-bdd6-d5437d6c0252" }) try: data = response.json() status = data['status'] if status == "valid": return "True" else: return None except: return None except: return None ================================================ FILE: modules/mail/mail_domain.txt ================================================ @yandex.ru @hotmail.com @outlook.com @yahoo.com @gmail.com @icloud.com @aol.com @msn.com @live.com ================================================ FILE: modules/mail/mail_gen.py ================================================ import threading, requests, bs4 from bs4 import BeautifulSoup from modules.mail import mail_check #from googlesearch import search def check(name,pren): print("📪 MailBox guessing ...") name = name.lower() pren = pren.lower() results = [ "{}.{}@gmail.com".format(name,pren), "{}.{}@hotmail.com".format(name,pren), "{}{}@hotmail.com".format(name,pren), "{}{}@hotmail.fr".format(name,pren), "{}{}@outlook.fr".format(name,pren), "{}.{}@outlook.com".format(name,pren), "{}{}@outlook.com".format(name,pren), "{}.{}@gmail.com".format(pren,name), "{}.{}@hotmail.com".format(name,pren), "{}{}@hotmail.com".format(pren,name), "{}{}@hotmail.fr".format(pren,name), "{}{}@outlook.fr".format(pren,name), "{}.{}@outlook.com".format(pren,name), "{}{}@outlook.com".format(pren,name), ] valid_mails = [] for i in results: a = mail_check.verify(mail=i) if a is not None: valid_mails.append(i) return valid_mails def skype2email(name,pren): url = f"https://www.skypli.com/search/{name} {pren}" r = requests.get(url) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) profiles = soup.find_all('span',{'class':'search-results__block-info-username'})[0:5] profiless = [] for i in profiles: if "live:." in i.text: pass else: profiless.append(i.text.replace('live:','').replace('_1','')) valid_emails = [] for i in profiless: emails = [] i = i.lower() with open('modules/mail_domain.txt','r') as file: lines = file.readlines() file.close() for line in lines: if "@" in line and "." in line: emails.append(i+line) for i in emails: a = mail_check.verify(mail=i.strip()) if a is not None: valid_emails.append(i.strip()) return valid_emails def pinterest2email(name,pren): try: """ therm = 'allintitle: {} {}"Profil de {} {}" site:pinterest.com -pin'.format(pren,name,pren,name) a = search(therm, lang="fr") emails = [] valid_emails = [] if len(a) != 0: for i in a: if "https://www.pinterest.com/" not in i: pass else: emails.append(i.replace('https://www.pinterest.com/','').replace('/','')+"@gmail.com") for i in emails: check = mail_check.verify(mail=i) if check is not None: valid_emails.append(i) if len(valid_emails) > 0: return valid_emails else: return None """ return None except: return None ================================================ FILE: modules/mail/scylla_sh.py ================================================ import requests def scylla_search(email): try: r = requests.get('https://scylla.so/search?q=email:{}'.format(email)) if r.status_code == 500 or r.status_code == 502: return None try: response = r.json() if len(response) == 0: return None else: total = [] for i in response[0:10]: leak_name = i['fields']['domain'] try: password = i['fields']['password'] except: password = i['fields']['passhash'] text = { 'Name':leak_name, 'Password':password } total.append(text) return total except: return None except requests.exceptions.ConnectionError: return None # By Lui#6166 from Prism Intelligence Group ================================================ FILE: modules/official_documents/death_records.py ================================================ import profile import requests,bs4 from bs4 import BeautifulSoup def death_search(name,pren): try: url = "https://avis-deces.linternaute.com/recherche-avis?q={} {}".format(name,pren) r = requests.get(url) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) names = soup.find_all('h4') ages = soup.find_all('small') villes = soup.find_all('div',{'class':'odResultList__details--death'}) profile_list = [] for i in range(len(names)): try: name = names[i].text.split('(')[0].replace('\r','').replace('\n','').replace('\t','').strip() loc = villes[i].text.split('à')[1].replace('\n','').replace(' ','').strip() age = ages[i].text.strip() dictt = {'Name':name,'Age':str(age),'Loc':loc.replace('- ','')} profile_list.append(dictt) except: pass if len(names) == 0: return None else: return profile_list except KeyboardInterrupt: return None ================================================ FILE: modules/official_documents/dirigeants_bfmtv.py ================================================ import requests, bs4 from bs4 import BeautifulSoup def bfmtv_search(name,pren): try: r = requests.get("https://www.verif.com/dirigeants/recherche/q/{}6+{}5".format(name,pren)) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) try: full_name = soup.find('a',{'class':'nom'}).text+" "+soup.find('td',{'class':'verif_col2'}).text naissance = soup.find('td',{'class':'verif_col3'}).text.replace('Né le ','') mandats = soup.find('td',{'class':'verif_col5'}).text fonction = soup.find('td',{'class':'verif_col4'}).text link = str(soup.find('td',{'class':'verif_col4'})).split('href="')[1].split('"')[0] link = str(link).replace('')[1] adresse = adresse_full.split("
")[0] cp = adresse_full.split("
")[1].split("")[0] text = {"Capital":capital,"Desc":desc,"addr":adresse+cp,'company':entreprise,'link':link,'full_name':full_name,'naissance':naissance,'mandats':mandats,'fonction':fonction} return text except AttributeError: return None except: return None ================================================ FILE: modules/official_documents/pagesblanches_search.py ================================================ import requests, bs4 from bs4 import BeautifulSoup def adresse_search(name,pren,zipc): if zipc is not None: r = requests.get('https://www.118000.fr/search?part=1&label={}&who={} {}'.format(zipc,name,pren)) else: r = requests.get('https://www.118000.fr/search?part=1&who={} {}'.format(name,pren)) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) target_name = soup.find("h2", {"class": "name title inbl"}).text.strip() target_addr = soup.find("div", {"class": "h4 address mtreset"}).text.strip() target_phon = soup.find('a',{'class':'clickable atel'}).text.strip() if target_name is not None: return {'Not_Sure':True,'Phone':target_phon,'Name':target_name,'Adress':target_addr,'Type_tel':None,"Loc_phone":None,'carrier':None} elif target_name is None: try: r = requests.get('https://www.118000.fr/search?part=1&label={}&who={}'.format(zipc,name)) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) name_full = soup.find("h2", {"class": "name title inbl"}).text.strip() addr_full = soup.find("div", {"class": "h4 address mtreset"}).text.replace(', voir sur la carte','').replace('\n',' ').strip() try: phon_full = soup.find('a',{'class':'clickable atel'}).text.strip() except: phon_full = None return {'Not_Sure':False,'Phone':phon_full,'Name':name_full,'Adress':addr_full,'Type_tel':None,"Loc_phone":None,'carrier':None} except AttributeError: return None ================================================ FILE: modules/phone/phone_search.py ================================================ ================================================ FILE: modules/report.json ================================================ { "Name":false, "LastName":false, "UI":{ "Pie":{ "PersonnalLife":false, "SocialMedias":false }, "Bar":{ "TwitterFounds":false, "InstagramFounds":false, "FacebookFounds":false, "SkypeFounds":false } }, "AdressPhone":{ "Not_Sure":false, "Exists":false, "FullName":false, "Adress":false, "Phone":false, "PhoneLocation":false }, "Work":{ "Exists":false, "FullName":false, "BornDate":false, "Company":false, "Function":false, "Warrant":false, "Link":false, "Capital":false, "Desc":false }, "Diploma_Bac":{ "Exists":false, "Link":false, "Academie":false, "Mention":false, "City":false, "Diplome":false }, "Diploma_Brevet":{ "Exists":false, "Name":false, "Link":false, "Academie":false, "Mention":false, "City":false, "Diplome":false }, "DeathRecords":{ "Exists":false, "Records":false, "AverageAgeUntilDeath":false }, "Emails":{ "HighProbEmails":false, "PermutatedMailbox":false }, "LinkedIN":{ "Exists":false, "Job":false, "Location":false, "urnid":false, "Url":false, "Twitters":false, "Birthdate":false, "PhoneNumbers":false }, "Facebook":{ "Exists":false, "AccountList":false }, "Skype":{ "Exists":false, "AccountList":false }, "Instagram":{ "Exists":false, "AccountList":false }, "Twitter":{ "Exists":false, "AccountList":false }, "CopainsDavant":{ "Exists":false, "Job":false, "NbKids":false, "FullName":false, "BornDate":false, "Location":false, "FSituation":false, "ProfilePicUrl":false, "ProfileUrl":false, "OtherLocations":false } } ================================================ FILE: modules/social_medias/copainsdavant_search.py ================================================ import requests, json from bs4 import BeautifulSoup from modules.face_recognition import face_recon from colorama import Fore def check_response(url): r = requests.get(url,allow_redirects=False) status = r.status_code if status == 200: return True else: return None def copains_davant(name,pren): headers = { 'Accept':'application/json, text/javascript, */*; q=0.01', 'X-Requested-With':'XMLHttpRequest' } r = requests.get(url='http://copainsdavant.linternaute.com/s/?full=&q={} {}&ty=1&xhr='.format(pren,name),headers=headers) try: pagephone = r.content.decode().split(',"$data":')[1].split('{"copains":')[1] dataa = pagephone[:-2] data = json.loads(dataa) users_list = data['users'] user_list = [] for i in users_list: i = str(i).strip() if i != "0": user_list.append(i) new_verified = [] for i in user_list: url = "https://copainsdavant.linternaute.com/p/{}-{}-{}".format(pren,name,i) response_code = check_response(url) if response_code is not None: new_verified.append(url) profil_url = new_verified[0] r = requests.get(allow_redirects=False,url='{}'.format(profil_url)) pagephone = r.content featuresphone = "html.parser" soup = BeautifulSoup(pagephone,featuresphone) try: localisation = str(soup.find('span',{'class':'locality'}).text) naissance = str(soup.find('abbr',{'class':'bday'}).text.strip()) name_full = str(soup.find('a',{'class':'url'}).text.strip()) photo = str(soup.find('img',{'itemprop':'logo'})).split('itemprop="logo" src="')[1].split('"')[0] locations = soup.find_all('span',{'class':'copains_career__city jCcareerTown'}) dates = soup.find_all('span',{'class':'copains_career__date jCareerDate'}) location_list = [] for i in range(len(locations)): locat = locations[i].text.strip() dat = dates[i].text.replace('maintenant','Now').strip() data = dat+" | "+locat if data not in location_list: temp_list = [] for i in location_list: if locat in i: temp_list.append('.') if len(temp_list) == 0: location_list.append(data) if len(location_list) == 0: location_list = None if "/anonymousL.jpg" in photo: photo = "None" face_detection = None else: print("🧠 Face detection via CopainsDavant profile picture ...") face_detection = face_recon.check(photo) if face_detection is not None: print(" ->"+Fore.GREEN+" Face successfully found ! "+Fore.RESET) face_detection = True card = soup.find('section',{'id':'vcard'}).text.strip() job = "None" nb_kids = "None" situation_familiale = "None" if "Situation familiale" in card: situation_familiale = card.split('Situation familiale :')[1].split(' ')[0].strip() situation_familiale = situation_familiale.strip() if "Profession" in card: job = card.split('Profession :')[1].split(' ')[0] job = " ".join(job.split()).split(' ')[0] if "Enfant" in card: nb_kids = card.split("Enfants :")[1].split(" ")[0] text = {'Face_detection':face_detection,'Other_locations':location_list,'url_full':'{}'.format(profil_url),'familial_situation':str(situation_familiale).replace('Enfants','').replace('Aucune','').strip(),'full_name':str(name_full),'born':str(naissance),'localisation':str(localisation), "nb_enfants":str(nb_kids).strip(),"Job":str(job).strip(),'pdp':str(photo), } return text except AttributeError: return None except IndexError: return None ================================================ FILE: modules/social_medias/facebook_search.py ================================================ import requests, bs4, re from bs4 import BeautifulSoup def facebook_search(name,pren): url = "https://fr-fr.facebook.com/public/{}-{}".format(pren,name) page = requests.get(url).content.decode('utf-8') nameAccount = re.findall("width=\"72\" height=\"72\" alt=\"([a-zA-Z0-9_ é , ]+)\" />", page) total_accounts = [] for i in nameAccount: if name.lower() in i.lower() and pren.lower() in i.lower(): total_accounts.append(i) else: pass if len(total_accounts) == 0: return None else: return total_accounts ''' This code cand be found at : https://github.com/lulz3xploit/LittleBrother/blob/master/core/facebookSearchTool.py ''' ================================================ FILE: modules/social_medias/instagram_search.py ================================================ import json, httpx, urllib, hmac,hashlib, sys, os, bs4, requests from bs4 import BeautifulSoup def cleartext(text): spec_chars = list(',?;:!§/\|<>*$£¤^¨^') for i in range(8): for i in spec_chars: if i in text: text = text.replace(i,'') return text def get_info_from_bio(bio): lines = bio.split('\n') religions = [ ('✡️','Judaism'), ('☪️','Islam'), ('☦️','Orthodox'), ('✝️','Christ'), ('🕉️','Hinduism') ] hobbies = [ ('🥊','Boxing'), ('🐎','Horses'), ('🐴','Horses'), ('🎾','Tennis'), ('⚽','Football'), ('🥋','Martial Arts'), ('🏀','Basketball'), ('🏈','American Football'), ('🏐','Volleyball'), ('🎻','Violin'), ('🎸','Guitar'), ('🎹','Piano'), ('🎣','Fishing'), ('⛷️','Ski') ] astrology_signs = [ ('♈','Aries','March 21 - April 20'), ('♉','Taurus','April 21 - May 21'), ('♊','Gemini','May 22 - June 21'), ('♋','Cancer','June 22 - July 22'), ('♌','Leo','July 23 - August 22'), ('♍','Virgo','August 23 - September 23'), ('♎','Libra','September 24 - October 23'), ('♏','Scorpius','October 24 - November 22'), ('♐','Sagittarius','November 23 - December 21'), ('♑','Capricorn','December 22 - January 20'), ('♒','Aquarius','January 21 - February 19'), ('♓','Pisces','February 20 - March 20') ] ethnical_origins = [ ('🇫🇷','France'), ('🇨🇭','Swiss'), ('🇨🇳','China'), ('🇧🇪','Belgium'), ('🇦🇱','Albania'), ('🇧🇬','Bulgaria'), ('🇧🇷','Brazil'), ('🇨🇦','Canada'), ('🇩🇪','Germany'), ('🇮🇱','Israel'), ('🇵🇸','Palestine'), ('🇺🇸','United States'), ('🇵🇹','Portugal'), ('🇱🇹','Lithuania'), ('🇵🇱','Poland'), ('🇷🇺','Russia'), ('🇪🇸','Spain'), ('🇹🇷','Turkey'), ('🇩🇿','Algeria'), ('🇲🇦','Morocco'), ('🇬🇵','Guadeloupe'), ('🇮🇳','India'), ('🇱🇺','Luxembourg'), ('🇳🇪','Niger'), ('🇳🇬','Nigeria'), ('🇶🇦','Quatar'), ('🇷🇪','Réunion'), ('🇷🇴','Romania'), ('🇹🇳','Tunisia'), ('🇾🇹','Mayotte'), ('🇿🇦','South Africa'), ('🇲🇽','Mexico'), ('🇨🇿','Czech Republic'), ('🇯🇵','Japan'), ('🇰🇪','Kenya'), ('🇰🇵','North Korea'), ('🇰🇷','South Korea'), ('🇯🇲','Jamaica'), ('🇮🇪','Ireland'), ('🇬🇷','Greece') ] emailss = [ '@icloud.com', '@gmail.com', '@gmx.fr', '@yahoo.fr', '@yahoo.com', '@outlook.com' '@outlook.fr', '@hotmail.fr', '@hotmail.com', '@live.fr', '@live.com', '@sfr.fr', '@orange.fr', '@free.fr', '@aol.com', '@wanadoo.fr', '@neuf.fr', '@laposte.net', '@yandex.ru', '@club-internet.fr', '@msn.com', '@influencelife.fr', '@shaunaevents.com', '@we-events.fr', '@nabillapro.com', '@facebook.com', '@protonmail.com', '@protonmail.ch', '@thepauseagency.com', '@alexotime.com', '@tomorrowhub.com' ] bio_infos = {} emails_final = [] snapchat_final = [] paypals = [] best_friend = [] ages = [] love_date_since = [] school_list = [] city_list = [] lgbt_points = [] fb_list = [] twitter_list = [] flag_list = [] religions_targ = [] astro_sign = [] hobbies_emojis = [] love_situation = [] tiktok_list = [] for line in lines: line = line.replace('')[1].split('')[0] except: bioo = "Lol" return get_info_from_bio(bioo) def get_profile_infos(profile): r = requests.get('https://www.picuki.com/profile/leaelui') page = r.content features = "html.parser" soup = BeautifulSoup(page, features) bio = soup.find('div',{'class':'profile-description'}) followings = soup.find('span',{'class':'follows'}) followers = soup.find('span',{'class':'followed_by'}) posts = soup.find('span',{'class':'total_posts'}) dictt = { 'Bio':bio, 'Following':followings, 'Followers':followers } return dictt def ig_search(name,pren): url = "https://www.picuki.com/search/{} {}".format(pren,name) r = requests.get(url=url) page = r.content.decode() features = "html.parser" soup = BeautifulSoup(page,features) profiles = [] profiless = soup.find_all('div',{'class':'result-username'}) for i in profiless[0:10]: i = str(i) profiles.append(i.replace('
','').replace('
','').strip()) return profiles # ============================================================================ """ LICENSE This module belong to Palenath | Megadose FROM Toutatis Github : https://github.com/megadose/ Twitter : https://twitter.com/palenath Module name : Toutatis Repo : https://github.com/megadose/toutatis """ def advanced_lookup(username): USERS_LOOKUP_URL = 'https://i.instagram.com/api/v1/users/lookup/' SIG_KEY_VERSION = '4' IG_SIG_KEY = 'e6358aeede676184b9fe702b30f4fd35e71744605e39d2181a34cede076b3c33' def generate_signature(data): return 'ig_sig_key_version=' + SIG_KEY_VERSION + '&signed_body=' + hmac.new(IG_SIG_KEY.encode('utf-8'),data.encode('utf-8'),hashlib.sha256).hexdigest() + '.'+ urllib.parse.quote_plus(data) def generate_data( phone_number_raw): data = {'login_attempt_count': '0', 'directly_sign_in': 'true', 'source': 'default', 'q': phone_number_raw, 'ig_sig_key_version': SIG_KEY_VERSION } return data data=generate_signature(json.dumps(generate_data(username))) headers={ "Accept-Language": "en-US", "User-Agent": "Instagram 101.0.0.15.120", "Content-Type": "application/x-www-form-urlencoded; charset=UTF-8", "Accept-Encoding": "gzip, deflate", "X-FB-HTTP-Engine": "Liger", "Connection": "close"} try: r = httpx.post(USERS_LOOKUP_URL,headers=headers,data=data) rep=r.json() return({"user":rep,"error":None}) except : return({"user":None,"error":"rate limit"}) def get_extra_data(username): data = advanced_lookup(username) final_dict = {} status = data['user']['status'] if status != "ok": return None else: try: final_dict['obfuscated_email'] = data['user']['obfuscated_email'] except KeyError: final_dict['obfuscated_email'] = None try: final_dict['obfuscated_phone'] = data['user']['obfuscated_phone'] except KeyError: final_dict['obfuscated_phone'] = None return final_dict ================================================ FILE: modules/social_medias/linkedin_search.py ================================================ from linkedin_api import Linkedin def linkedin_search(name,pren): try: """ a = search('"{} {}" -intitle:"profiles" -inurl:"dir/ " site:fr.linkedin.com/in/ OR site:fr.linkedin.com/pub/'.format(pren,name), lang="fr") if len(a) > 0: if name.lower() in a[0] and pren.lower() in a[0]: return a[0] else: return None """ return None except: pass def official_linkedin_search(name,pren): username = "" password = "" if len(username) == 0: return None else: api = Linkedin(username=username,password=password) profile_data = api.search_people(keyword_first_name=pren,keyword_last_name=name) if len(profile_data) == 0: return None else: public_id = profile_data[0]['public_id'] urn_id = profile_data[0]['urn_id'] profile_infos = api.get_profile(urn_id=urn_id,public_id=public_id) profile_contact = api.get_profile_contact_info(urn_id=urn_id,public_id=public_id) email_adress = profile_contact['email_address'] twitters = profile_contact['twitter'] birthdate = profile_contact['birthdate'] phone_numbers = profile_contact['phone_numbers'] profile_infosz = api.get_profile(public_id) location = profile_infosz['geoLocationName'] bio = profile_infosz['headline'] try: job = (profile_infos['headline']) except: job = None data = { 'Loc':location, 'Job':job, 'Bio':bio, 'email':email_adress, 'urnid':urn_id, 'url':'https://www.linkedin.com/in/'+public_id, 'twitters':twitters, 'birthdate':birthdate, 'phone_numbers':phone_numbers } return data ================================================ FILE: modules/social_medias/skype_search.py ================================================ import requests, bs4 from bs4 import BeautifulSoup from modules.mail import mail_check def skype_searchh(name,pren): url = f"https://www.skypli.com/search/{name} {pren}" r = requests.get(url) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) profiles = soup.find_all('span',{'class':'search-results__block-info-username'})[0:5] profiless = [] for i in profiles: profiless.append(i.text) profile_dict = [] for i in profiless: r = requests.get('https://www.skypli.com/profile/{}'.format(i)) page = r.content if "Page not found." in r.text: full_name = "" else: features = "html.parser" soup = BeautifulSoup(page, features) name = soup.find_all('div',{'class':'profile-box__table-value'})[1] full_name = (name.text.strip()) profile_dict.append('{} \t| {}'.format(i,full_name)) return profile_dict ================================================ FILE: modules/social_medias/soundcloud.py ================================================ from selenium import webdriver from colorama import Fore import time def webdriver_usage(name,pren): print("🎧 Searching for soundcloud profiles ...") try: try: options = webdriver.FirefoxOptions() options.headless = True driver = webdriver.Firefox(options=options) driver.get(f"https://soundcloud.com/search/people?q={pren} {name}") time.sleep(4.0) source_code = str(driver.page_source) if "Check the spelling, or try a different search." in source_code or "Sorry we didn't find any results for" in source_code: pass else: print(f' -> {Fore.GREEN}Found !{Fore.RESET} Visit : https://soundcloud.com/search/people?q={pren}%20{name}') except: return None except KeyboardInterrupt: return ================================================ FILE: modules/social_medias/twitter_search.py ================================================ import requests, bs4 from bs4 import BeautifulSoup def twitter_search(name,pren): url = "https://www.sotwe.com/search/{} {}".format(pren,name) r = requests.get(url) page = r.content features = "html.parser" soup = BeautifulSoup(page, features) usernames = [] username = soup.find_all('div',{'class':'v-list-item__subtitle caption'}) for i in username: usernames.append(i.text.strip()) return usernames ================================================ FILE: modules/social_medias/wattpad_search.py ================================================ import time, colorama from colorama import Fore from selenium import webdriver def wattpad_module(pren,name): print("📔 Searching for Wattpad profiles ...") options = webdriver.FirefoxOptions() options.headless = True driver = webdriver.Firefox(options=options) url = "https://www.wattpad.com/search/{}%20{}/people".format(pren,name) driver.get(url) time.sleep(2.0) source_code = str(driver.page_source) if "Hmmm... il n'y a pas de résultats" in source_code: return None else: print(f' -> {Fore.GREEN}Found !{Fore.RESET} Visit : {url}') ================================================ FILE: modules/visual/logging.py ================================================ def speculos_lotus(): try: with open("modules/mail_domain.txt","r") as file: lines = file.readlines() file.close() print(""" * NOTE *: + You can update DaProfiler using : py profiler.py -u True + You can add by yourself some others mail domains (ex @mail.mail) to search for target emails using that domain. HOW : . Go to /modules . Add your domains ({} Detected) """.format(str(len(lines)))) except: pass ================================================ FILE: profiler.py ================================================ from colorama.initialise import init from json import decoder import threading, time, colorama, treelib, random, sys, os, argparse, json, requests, webbrowser, socketio, string from tqdm import tqdm from treelib import Node, Tree from colorama import Fore, Back, Style, init from statistics import mean init(autoreset=True) from modules.social_medias import wattpad_search from modules.social_medias import skype_search from modules.social_medias import copainsdavant_search from modules.social_medias import instagram_search from modules.social_medias import twitter_search from modules.social_medias import facebook_search from modules.social_medias import linkedin_search from modules.official_documents import dirigeants_bfmtv from modules.official_documents import death_records from modules.official_documents import pagesblanches_search from modules.mail import mail_gen from modules.mail import scylla_sh from modules.mail import mail_check from modules.diplomes import last_diplomes from modules.social_medias import soundcloud from modules.visual import logging from modules.api_modules import leakcheck_net banner = False # Opening json report template data_file = open('modules/report.json','r') data_export = json.load(data_file) data_file.close() # Affichage de la banniere def banner(): if sys.platform == 'win32': os.system('cls') else: os.system('clear') print(""" ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣀⣀⣀⣀⣀⡀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣴⠾⠛⢉⣉⣉⣉⡉⠛⠷⣦⣄⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣴⠋⣠⣴⣿⣿⣿⣿⣿⡿⣿⣶⣌⠹⣷⡀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣼⠁⣴⣿⣿⣿⣿⣿⣿⣿⣿⣆⠉⠻⣧⠘⣷⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⡇⢰⣿⣿⣿⣿⣿⣿⣿⣿⣿⡿⠀⠀⠈⠀⢹⡇⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡇⢸⣿⠛⣿⣿⣿⣿⣿⣿⡿⠃⠀⠀⠀⠀⢸⡇⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⣷⠀⢿⡆⠈⠛⠻⠟⠛⠉⠀⠀⠀⠀⠀⠀⣾⠃⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⣧⡀⠻⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣼⠃⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢼⠿⣦⣄⠀⠀⠀⠀⠀⠀⠀⣀⣴⠟⠁⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⣠⣾⣿⣦⠀⠀⠈⠉⠛⠓⠲⠶⠖⠚⠋⠉⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⣠⣾⣿⣿⠟⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⣠⣾⣿⣿⠟⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⣾⣿⣿⠟⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⢀⣄⠈⠛⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ """) print(" Get someone's digital identity anonymously 👻 ") print(" Made by "+Style.BRIGHT+Fore.RED+"TheRealDalunacrobate "+Fore.RESET+Style.RESET_ALL+"with 💝") banner() # Get the arguments parser = argparse.ArgumentParser() parser.add_argument("-n", "--name", help="Victim name") parser.add_argument('-ln','--lastname',help="Last name of victim") parser.add_argument('-json','--json',help="Print result in json") parser.add_argument('-zp','--zp',help="Zip code (Optional)") args = parser.parse_args() # Set the vars name = (args.lastname) pren = (args.name) json_print = (args.json) zip_code = (args.zp) def randomString(length): return ''.join(random.choice(string.ascii_letters) for i in range(length)) thisIsATmpTokenListener = randomString(25); possible_usernames = [] folder_name = "{}_{}".format(pren,name) personnal_life = [] social_medias = [] # Crraeate the folder for the reports try: os.mkdir('Reports') except FileExistsError: pass try: os.mkdir('Reports/{}'.format(folder_name)) except FileExistsError: pass # Main try: if pren and name is not None: print("\n🎭 Finding and filtering online identities ...") try: copainsdavant_results = copainsdavant_search.copains_davant(name=name,pren=pren) except: copainsdavant_results = None try: facebook_results = facebook_search.facebook_search(name=name,pren=pren) except: facebook_results = None try: twitter_results = twitter_search.twitter_search(name=name,pren=pren) except: twitter_results = None try: official_linkedin_search_results = linkedin_search.official_linkedin_search(pren=pren,name=name) except: official_linkedin_search_results = None try: avis_deces_results = death_records.death_search(name=name,pren=pren) except: avis_deces_results = None try: bfmtv_results = dirigeants_bfmtv.bfmtv_search(name=name,pren=pren) except: bfmtv_results = None try: instagram_results = instagram_search.ig_search(name=name,pren=pren) except: instagram_results = None try: skype_results = skype_search.skype_searchh(name=name,pren=pren) except: skype_results = None try: diplome_bac = last_diplomes.last_diplomes_bac(name=name,pren=pren) except: diplome_bac = None try: if zip_code is not None: pagesblanche = pagesblanches_search.adresse_search(name=name,pren=pren,zipc=str(zip_code)) else: pagesblanche = pagesblanches_search.adresse_search(name=name,pren=pren,zipc=None) except: pagesblanche = None try: linkedin_results = linkedin_search.linkedin_search(name=name,pren=pren) except: linkedin_results = None soundcloud.webdriver_usage(name=name,pren=pren) wattpad_results = wattpad_search.wattpad_module(pren,name) possible_mail = mail_gen.check(name=name,pren=pren) skype2mail = mail_gen.skype2email(name=name,pren=pren) pin2mail = mail_gen.pinterest2email(name=name,pren=pren) elif len(pren) and len(name) == 0: linkedin_results = None facebook_results = None twitter_results = None avis_deces_results = None bfmtv_results = None instagram_results = None copainsdavant_results = None skype_results = None pagesblanche = None possible_mail = None skype2mail = None pren = "" name = "" else: linkedin_results = None facebook_results = None twitter_results = None avis_deces_results = None bfmtv_results = None instagram_results = None copainsdavant_results = None skype_results = None pagesblanche = None possible_mail = None skype2mail = None pren = "" name = "" except TypeError: linkedin_results = None facebook_results = None twitter_results = None avis_deces_results = None bfmtv_results = None instagram_results = None copainsdavant_results = None skype_results = None pagesblanche = None possible_mail = None skype2mail = None pren = "" name = "" average_age = [] tree = Tree() tree.create_node(f"{pren} {name}", 1) data_export['Name'] = pren data_export['LastName'] = name try: diplome_bac = last_diplomes.last_diplomes_bac(name=name,pren=pren) except: diplome_bac = None # Daprofiler check les deces if avis_deces_results is not None: tree.create_node("Death Records",41518181871541514778,parent=1) for i in avis_deces_results[:5]: tree.create_node('{} | {}\t| {}'.format(i['Age'],i['Name'],i['Loc']),parent=41518181871541514778) data_export['DeathRecords']['Exists'] = True data_export['DeathRecords']['Records'] = avis_deces_results[:5] try: average_age.append(int(i['Age'])) except ValueError: pass # Daprofiler check les linkedin if linkedin_results is not None: tree.create_node('LinkedIN Profile',15418911611515145145,parent=1) tree.create_node(linkedin_results,parent=15418911611515145145) try: if official_linkedin_search_results is not None: Loc = official_linkedin_search_results['Loc'] job = official_linkedin_search_results['Job'] email = official_linkedin_search_results['email'] urnid = official_linkedin_search_results['urnid'] url = official_linkedin_search_results['url'] twitters = official_linkedin_search_results['twitters'] birthdate = official_linkedin_search_results['birthdate'] phone_numbers = official_linkedin_search_results['phone_numbers'] tree.create_node('LinkedIN (Via API)',15458156411556562162,parent=1) tree.create_node(f'UrnID : {urnid}',5151515155,parent=15458156411556562162) tree.create_node(f'Url : {url}',55185514542335,parent=15458156411556562162) if len(twitters) > 0: tree.create_node('Twitters',25848145481514,parent=15458156411556562162) for i in twitters: tree.create_node(i,parent=25848145481514) else: pass if len(phone_numbers) > 0: tree.create_node('Phone Numbers',28945181781,parent=15458156411556562162) for i in phone_numbers: tree.create_node(i,parent=28945181781) else: pass if Loc != False: tree.create_node(f'Location : {Loc}',4561561510515656,parent=15458156411556562162) if job is not None: tree.create_node(f'Job : {job}',511515,parent=15458156411556562162) if birthdate is not None: tree.create_node(f'Birth Date : {birthdate}',5881981648,parent=1058151514851) if email is not None: tree.create_node(f'Email : {str(email)}',parent=15458156411556562162) data_export['LinkedIN']['Exist'] = True data_export['LinkedIN']['Job'] = job data_export['LinkedIN']['urnid' ] = urnid data_export['LinkedIN']['Url'] = url data_export['LinkedIN']['Twitters'] = twitters data_export['LinkedIN']['Birthdate'] = birthdate data_export['LinkedIN']['PhoneNumbers'] = phone_numbers except: pass if pagesblanche is not None: personnal_life.append('.') full_name = pagesblanche['Name'] adress = pagesblanche['Adress'] phone = pagesblanche['Phone'] sure_status = pagesblanche['Not_Sure'] data_export['AdressPhone']['Not_Sure'] = sure_status data_export['AdressPhone']['Exists'] = True data_export['AdressPhone']['FullName'] = full_name data_export['AdressPhone']['Phone'] = phone data_export['AdressPhone']['Adress'] = adress if sure_status == True: tree.create_node("Adress - Phone",2,parent=1) else: tree.create_node("Adress - Phone (You must verify this information)",2,parent=1) tree.create_node("Full Name : {}".format(full_name),22,parent=2) tree.create_node("Adress : {}".format(adress),33,parent=2) tree.create_node("Phone : {}".format(phone),44,parent=2) if pagesblanche['carrier'] is not None: tree.create_node('Carrier : {}'.format(pagesblanche['carrier']),894,parent=44) if pagesblanche['Loc_phone'] is not None: tree.create_node('Localisation : {}'.format(pagesblanche['Loc_phone']),55,parent=44) data_export['AdressPhone']['PhoneLocation'] = pagesblanche['Loc_phone'] if pagesblanche['Type_tel'] is not None: tree.create_node('Type : {}'.format(pagesblanche['Type_tel']),66,parent=44) if diplome_bac is not None: if diplome_bac['Exists'] == True: tree.create_node('DIPLOME BAC',58,parent=1) tree.create_node('Bac : '+diplome_bac['Diplome'],848151541514,parent=58) tree.create_node('Academy : '+diplome_bac['academie'],848151241514,parent=58) tree.create_node('Mention : '+diplome_bac['mention'],848151341514,parent=58) tree.create_node('City : '+diplome_bac['ville'],848151641514,parent=58) tree.create_node('Source : '+diplome_bac['Link'],45994851726,parent=58) data_export['Diploma_Bac']['Exists'] = True data_export['Diploma_Bac']['Academie'] = diplome_bac['academie'] data_export['Diploma_Bac']['Mention'] = diplome_bac['mention'] data_export['Diploma_Bac']['City'] = diplome_bac['ville'] data_export['Diploma_Bac']['Diplome'] = diplome_bac['Diplome'] data_export['Diploma_Bac']['Link'] = diplome_bac['Link'] # Daprofiler check les copains davant if copainsdavant_results is not None: personnal_life.append('.') data_export['CopainsDavant']['Exists'] = True try: tree.create_node("Copains d'avant",3,parent=1) tree.create_node('Full Name : {}'.format(copainsdavant_results['full_name']),77,parent=3) tree.create_node('Born Date : {}'.format(copainsdavant_results['born']),88,parent=3) tree.create_node('Location : {}'.format(copainsdavant_results['localisation']),99,parent=3) tree.create_node('Url : {}'.format(copainsdavant_results['url_full']),111,parent=3) data_export['CopainsDavant']['FullName'] = copainsdavant_results['full_name'] data_export['CopainsDavant']['BornDate'] = copainsdavant_results['born'] data_export['CopainsDavant']['ProfileUrl'] = copainsdavant_results['url_full'].replace('https://','') data_export['CopainsDavant']['Location'] = copainsdavant_results['localisation'] if copainsdavant_results['Other_locations'] is not None: chars = "abcdefghijklmnopqrstuvwxyz1234567890" number_sk = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node('Other Locations',number_sk,parent=3) for i in copainsdavant_results['Other_locations']: if i != copainsdavant_results['localisation']: tree.create_node(i,parent=number_sk) data_export['CopainsDavant']['OtherLocations'] = copainsdavant_results['Other_locations'] if copainsdavant_results['pdp'] != "None": try: tree.create_node('Profile Picture : {}'.format(copainsdavant_results['pdp']),151515454545,parent=3) data_export['CopainsDavant']['ProfilePicUrl'] = copainsdavant_results['pdp'].replace('https://','') except: pass if copainsdavant_results['Job'] != "None": try: tree.create_node('Job : {}'.format(copainsdavant_results['Job']),154156132489411,parent=3) data_export['CopainsDavant']['Job'] = copainsdavant_results['Job'] except: pass if copainsdavant_results['familial_situation'] != "None": try: tree.create_node('Familial Situation : {}'.format(copainsdavant_results['familial_situation'].strip()),44984154114515,parent=3) data_export['CopainsDavant']['FSituation'] = copainsdavant_results['familial_situation'] except: pass if copainsdavant_results['nb_enfants'] != "None": try: tree.create_node('Number of kids : {}'.format(copainsdavant_results['nb_enfants']),1654518948741,parent=3) data_export['CopainsDavant']['NbKids'] = copainsdavant_results['nb_enfants'] except: pass except TypeError: pass # Daprofiler check BFMtv if bfmtv_results is not None: personnal_life.append('.') data_export['Work']['Exists'] = True data_export['Work']['FullName'] = bfmtv_results['full_name'] data_export['Work']['BornDate'] = bfmtv_results['naissance'] data_export['Work']['Company'] = bfmtv_results['company'] data_export['Work']['Function'] = bfmtv_results['fonction'] data_export['Work']['Warrant'] = bfmtv_results['mandats'] data_export['Work']['Link'] = bfmtv_results['link'].replace('https://','') data_export['Work']['Capital'] = bfmtv_results['Capital'] data_export['Work']['Desc'] = bfmtv_results['Desc'] tree.create_node("Work - Job",4,parent=1) tree.create_node('Full Name : {}'.format(bfmtv_results['full_name']),222,parent=4) tree.create_node('Born Date : {}'.format(bfmtv_results['naissance']),333,parent=4) tree.create_node('Adress : {}'.format(bfmtv_results['addr']),888,parent=4) tree.create_node('Company : {}'.format(bfmtv_results['company']),777,parent=4) tree.create_node('Desc : {}'.format(bfmtv_results['Desc']),78285,parent=4) tree.create_node('Capital : {}'.format(bfmtv_results['Capital']),84566,parent=4) tree.create_node('Link : {}'.format(bfmtv_results['link']),666,parent=4) tree.create_node('Function : {}'.format(bfmtv_results['fonction']),444,parent=4) tree.create_node('Warrant : {}'.format(bfmtv_results['mandats']),555,parent=4) # Daprofiler check twitter if twitter_results is not None: social_medias.append('.') data_export['Twitter']['Exists'] = True data_export['Twitter']['Accounts'] = twitter_results tree.create_node('Twitters',665847555858,parent=1) for i in twitter_results: temp = [] chars = "abcdefghijklmnopqrstuvwxyz1234567890" number_sk = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) domain_list = ['@gmail.com','@hotmail.fr','@hotmail.com','@orange.fr','@outlook.com','@outlook.fr'] for domain in domain_list: a = mail_check.verify(i.replace('@','')+domain) if a == "True": temp.append(i.replace('@','').lower()+domain) if len(temp) == 0: tree.create_node(i,parent=665847555858) else: tree.create_node(i,number_sk,parent=665847555858) for temp_mail in temp: tree.create_node(temp_mail,parent=number_sk) # Daprofiler check skype if skype_results is not None: social_medias.append('.') data_export['Skype']['Exists'] = True data_export['Skype']['AccountList'] = skype_results if len(skype_results) == 0: pass else: tree.create_node("Skype",6,parent=1) tree.create_node("Accounts : {}".format(str(len(skype_results))),12,parent=6) for i in skype_results: chars = "abcdefghijklmnopqrstuvwxyz1234567890" number_sk = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node(i,number_sk,parent=12) # Diploma printing try: try: diplomess = last_diplomes.last_diplomes_brevet(name=name,pren=pren) except : diplomess = None if diplomess is not None: tree.create_node('BREVET DES COLLEGES',452,parent=1) tree.create_node('Name : {}'.format(diplomess['Name']),1816864648,parent=452) tree.create_node('Diploma : {}'.format(diplomess['Diplome']),45855887,parent=452) tree.create_node('Details : {}'.format(diplomess['mention']),45855847,parent=452) tree.create_node('Academy : {}'.format(diplomess['academie']),45855687,parent=452) tree.create_node('Location : {}'.format(diplomess['ville']),45855881,parent=452) tree.create_node('Source : {}'.format(diplomess['Link']),45896472,parent=452) data_export['Diploma_Brevet']['Name'] = diplomess['Name'] data_export['Diploma_Brevet']['Exists'] = True data_export['Diploma_Brevet']['Academie'] = diplomess['academie'] data_export['Diploma_Brevet']['Mention'] = diplomess['mention'] data_export['Diploma_Brevet']['City'] = diplomess['ville'] data_export['Diploma_Brevet']['Link'] = diplomess['Link'] except NameError: pass # Daprofiler check instagram if instagram_results is not None: if len(instagram_results) == 0: pass else: social_medias.append('.') data_export['Instagram']['Exists'] = True tree.create_node("Instagram",7,parent=1) tree.create_node('Accounts : {}'.format(str(len(instagram_results))),13,parent=7) acc_json_list = [] for i in instagram_results: chars = "abcdefghijklmnopqrstuvwxyz1234567890" username = i number_ski = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) bio_infos = instagram_search.getInstagramEmailFromBio(username) tree.create_node(i,number_ski,parent=13) try: data = instagram_search.get_extra_data(username) if data is None: ob_phone = False ob_mail = False pass else: if data != {}: if data['obfuscated_email'] is not None: ob_mail = data['obfuscated_email'] tree.create_node("Obfuscated Email -> "+ob_mail,parent=number_ski) else: ob_mail = False if data['obfuscated_phone'] is not None: ob_phone = data['obfuscated_phone'] tree.create_node("Obfuscated Phone -> "+ob_phone,parent=number_ski) else: ob_phone = False else: ob_phone = False ob_mail = False finally: pass acc_json_list.append({"Username":username,'obfuscated_phone':ob_phone,'obfuscated_email':ob_mail}) bio_emails = bio_infos['emails'] paypal_bio = bio_infos['paypal'] city_loc = bio_infos['city_list'] is_lgbt = bio_infos['lgbt_points'] schoolname = bio_infos['school'] bestfriend = bio_infos['best_friend'] love_date = bio_infos['love_date'] age_bio = bio_infos['age'] ethnicity = bio_infos['origins'] facebook_l = bio_infos['fb_list'] twitter_l = bio_infos['twitter_list'] hobbies = bio_infos['Hobbies'] love_situa = bio_infos['love_situation'] religions = bio_infos['religions'] astrologys = bio_infos['astrology'] if love_situa is not None: nnumber_ski = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node('Love Situation',nnumber_ski,parent=number_ski) for i in love_situa: tree.create_node(i,parent=nnumber_ski) if astrologys is not None: nnumber_ski = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node('Astrologic sign',nnumber_ski,parent=number_ski) for i in astrologys: tree.create_node(i,parent=nnumber_ski) if religions is not None: nnumber_ski = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node('Religion(s)',nnumber_ski,parent=number_ski) for i in religions: tree.create_node(i,parent=nnumber_ski) if hobbies is not None: nnumber_ski = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node('Hobbies',nnumber_ski,parent=number_ski) for i in hobbies: tree.create_node(i,parent=nnumber_ski) if bestfriend is not None: nnumber_ski = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node('Good relationship with',nnumber_ski,parent=number_ski) for i in bestfriend: tree.create_node('{}'.format(i),parent=nnumber_ski) if is_lgbt is not None: lgbt_flag = (Fore.RED+"█"+Fore.YELLOW+"█"+Fore.GREEN+"█"+Fore.BLUE+"█"+Fore.MAGENTA+"█"+Fore.RESET) tree.create_node('{} LGBT Member'.format(lgbt_flag),parent=number_ski) if ethnicity is not None: tree.create_node('Ethnicity : {}'.format(str(ethnicity).replace('[','').replace(']','').replace("'","")),parent=number_ski) if facebook_l is not None: tree.create_node('Facebook : {}'.format(str(facebook_l).replace('[','').replace(']','').replace("'","")),parent=number_ski) if twitter_l is not None: tree.create('Twitter : {}'.format(str(twitter_l).replace('[','').replace(']','').replace("'","")),parent=number_ski) if schoolname is not None: tree.create_node('School Name : {}'.format(schoolname),parent=number_ski) if city_loc is not None: tree.create_node('City : {}'.format(city_loc[0]),parent=number_ski) if paypal_bio is not None: for i in paypal_bio: tree.create_node('Paypal in bio -> '+i,parent=number_ski) if bio_emails is not None: for i in bio_emails: chars = "abcdefghijklmnopqrstuvwxyz1234567890" number_skkk = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) number_skk = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node('Email from bio -> '+Fore.CYAN+i+Fore.RESET,number_skkk,parent=number_ski) data_export['Instagram']['AccountList'] = acc_json_list # Daprofiler check facebook if facebook_results is not None: social_medias.append('.') data_export['Facebook']['Exists'] = True nb = str(len(facebook_results)) tree.create_node("Facebook",9,parent=1) tree.create_node('Accounts : {}'.format(nb),10,parent=9) data_export['Facebook']['AccountList'] = facebook_results for i in facebook_results: tree.create_node(i,parent=10) # Daprofiler generate Possible Email if possible_mail is not None: if len(possible_mail) != 0 or len(skype2mail) != 0 or pin2mail is not None: tree.create_node('Emails extracted',146,parent=1) if skype2mail is not None: tree.create_node('[++] High probability',142,parent=146) no_doubles = [] for i in skype2mail: if i not in no_doubles: chars = "abcdefghijklmnopqrstuvwxyz1234567890" number = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) no_doubles.append(i) tree.create_node(i,number,parent=142) # GETTING LEAKED PASSWORDS FROM SCYLLA.SH -> \modules\scylla_sh.py scylla_results = scylla_sh.scylla_search(email=i) if scylla_results is not None: tree.create_node('Leaked From : Scylla.sh',1518451,parent=number) for i in scylla_results: chars = "abcdefghijklmnopqrstuvwxyz1234567890" number = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node('Leak Name : {}'.format(i['Name']),parent=1518451) tree.create_node('Password : {}'.format(i['Password']),parent=1518451) # GET LEAKED PASSWORDS FROM LEAKCHET.NET API -> \api_modules\leakcheck_net.py a = leakcheck_net.leak_check_api(mail=i) if a is not None: chars = "abcdefghijklmnopqrstuvwxyz1234567890" number_pass = random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars)+random.choice(chars) tree.create_node("Leaked Creditentials",number_pass,parent=number) for i in a: password = i['password'] leak_name = i['leak_name'] leak_date = i['leak_date'] tree.create_node('Password : {}'.format(password),parent=number_pass) tree.create_node('Leak Name : {}'.format(leak_name),parent=number_pass) tree.create_node('Leak Date : {}'.format(leak_date),parent=number_pass) data_export['Emails']['HighProbEmails'] = no_doubles nb= str((len(possible_mail))) if pin2mail is not None: tree.create_node('[+++] Very high probability',45451451545545155154,parent=146) for i in pin2mail: tree.create_node('-> '+Fore.RED+i+Fore.RESET+" (Scraped from pinterest profile)",parent=45451451545545155154) if int(nb) != 0: tree.create_node("("+nb+") Possible Mailbox",8,parent=146) data_export['Emails']['PermutatedMailbox'] = possible_mail for i in possible_mail: tree.create_node(i,parent=8) print("✅ Ready to be consulted !") print('\n') # For data Analyzation data_export['UI']['Pie']['PersonnalLife'] = len(personnal_life) data_export['UI']['Pie']['SocialMedias'] = len(social_medias) try: data_export['UI']['Bar']['TwitterFounds'] = len(twitter_results) except TypeError: data_export['UI']['Bar']['TwitterFounds'] = 0 try: data_export['UI']['Bar']['InstagramFounds'] = len(instagram_results) except TypeError: data_export['UI']['Bar']['InstagramFounds'] = 0 try: data_export['UI']['Bar']['FacebookFounds'] = len(facebook_results) except TypeError: data_export['UI']['Bar']['FacebookFounds'] = 0 try: data_export['UI']['Bar']['SkypeFounds'] = len(skype_results) except TypeError: data_export['UI']['Bar']['SkypeFounds'] = 0 if json_print == "true" or json_print == "yes" or json_print == "oui": print('-- JSON START --') print(data_export) print('-- JSON END --') else: tree.show() data_file.close() try: with open(f'Reports/{folder_name}/{name}_{pren}.json','w',encoding='utf8') as f: json.dump(data_export,f,indent=4,ensure_ascii=False) f.close() except FileNotFoundError: os.mkdir('Reports') with open(f'Reports/{folder_name}/{name}_{pren}.json','w',encoding='utf8') as f: json.dump(data_export,f,indent=4,ensure_ascii=False) f.close() ================================================ FILE: requirements.txt ================================================ requests bs4 selenium colorama googlesearch-python treelib leakcheck update_check httpx tqdm linkedin-api~=2.0.0a statistics python-socketio numpy opencv-python