Intelligence X Security Search

🔥TIP: How to Investigate an Email Example: [email protected] 1️⃣ Intelligence Search (full email) Result: 69 files found • usenet: 30 (forum discussions) • leaks.logs: 22 (victim browser history) • leaks.private: 13 (data breaches) • darknet.tor: 3 (exposed on .onion sites) 2️⃣ Domain Recon (domain: adobe.com) Result: 100+ related emails discovered • [email protected] • [email protected] • [email protected] • [email protected] • ...and more 3️⃣ Reverse Search (domain: adobe.com) Result: 125 compromised accounts One email led to: • 69 breach files • 100+ related emails • 125 compromised accounts WEB https://intelligencesecurity.io BOT https://t.me/intelligencesecurityiobot

🔍 Intelligence Search: Email Investigation Searching [email protected] reveals 500+ results: 📁 Data Breaches (194 files): ├─ Collection #2-#5 → 48 files ├─ TruecallerIndia → 20 files ├─ StarTribune → 12 files └─ SMS Services leaks 📋 Pastes → 84 files 🌐 Darknet (Tor + I2P) → 48 files 🔍 WHOIS Records → 59 files 🏛 Public Government Docs → 51 files ⚠️ Important: Data leaks don't always mean YOU were hacked. Your email can appear in breaches from: ├─ Third-party services you registered on ├─ Companies that stored your data insecurely ├─ Public records and government documents ├─ Marketing databases sold or leaked └─ Contact lists from infected devices (not yours) 🎯 Intelligence Search shows your complete digital footprint across all indexed sources. 🔗WEB https://intelligencesecurity.io/features 🤖BOT https://t.me/intelligencesecurityiobot

🔍 Intelligence Search: Phone Number Investigation Searching +447911123456 (UK) reveals 1,000+ results: 📁 Data Breaches (161 files): ├─ pureincubation.com → 25 files ├─ Magento e-commerce → 11 files ├─ TAPAir Portugal → 10 files ├─ LinkedIn 2023 35M → 3 files └─ sevenrooms.com → 3 files 📋 Stealer Logs (197 files): ├─ Multi-country origins (US, ZA, AE, PK) ├─ Browser passwords & autofills └─ Infected device extractions 🔍 WHOIS/DNS Records → 108 files 🌐 Darknet (Tor) → 2 files ⚠️ Important: Phone numbers leak differently than emails. Your number can appear in breaches from: ├─ Apps that access your contacts (WhatsApp, Telegram) ├─ E-commerce platforms storing billing info ├─ Marketing databases and lead generation services ├─ Airline & travel booking systems └─ Devices infected with info-stealers (not yours) 🎯 Intelligence Search reveals your phone's complete exposure across global data sources. 🔗WEB https://intelligencesecurity.io/features 🤖BOT https://t.me/intelligencesecurityiobot

🍪 Session Intelligence: Cookie Extraction Cookies from affected systems can contain active sessions, auth tokens, and user preferences. 📌 EXAMPLE: trustwallet.com → 15 cookie files from 15 systems → Date range: last 7 days only 📂 What's inside exposed cookies? ├─ 🔑 Session tokens → Active login sessions ├─ 🔐 Auth cookies → Access without password ├─ ⚙️ Consent/preferences → User fingerprinting ├─ 📍 Tracking pixels → Cross-site identification 💡 Why cookies matter: 🎯 For Bug Bounty & Red Team: - Session persistence testing - 2FA bypass validation - Auth flow security assessment 🛡 For Security Teams: - Monitor corporate domain exposure - Detect exposed employee sessions - Incident response: identify active leaks Session Intelligence extracts cookies by domain from stealer logs, grouped by source system, prioritizing recent sessions. 🔗 https://intelligencesecurity.io/features 🤖 https://t.me/intelligencesecurityiobot

🔎 Internal Search: Real-Time Line Extraction Unlike standard breach searches that show file names, Internal Search reads INSIDE every indexed file and returns the exact line where your query appears. 📌 EXAMPLE: ftx.com → 5,218 results (January 2026 only) → Sources: darknet.tor, leaks.logs, web archives 📂 What the search revealed: ├─ 🛒 "FTX.COM - Kyc Verified Account/Drop (Fresh)" → Darknet markets ├─ 🌐 "URL: https://ftx.com/onboarding/signup" → Browser history from affected systems ├─ 📄 "A Crypto Derivatives Exchange, built by traders" → Archived site mentions ├─ 🔗 References across Russian financial forums 💡 Why line-level search matters: Standard search: "Your email appears in 50 files" Internal Search: "Login: [email protected]" — shows exact context 🎯 For Investigators & Red Team: - See HOW data is stored (login fields, autofills, URLs) - Identify patterns across stealer logs - Track mentions in darknet forums 🛡 For Security Teams: - Understand exposure context, not just existence - Export 5,000+ lines to Excel for bulk analysis - Filter by date range for recent activity only Internal Search performs real-time extraction across billions of indexed records. 🔗 https://intelligencesecurity.io/features/ 🤖 https://t.me/intelligencesecurityiobot

🔑 Credential Exposure: Monitor leaked credentials by domain Search any domain to identify exposed username:password pairs from stealer log collections. 📌 EXAMPLE: example.com → 1,699 total entries found → 479 unique credentials → 1,220 duplicates filtered 📊 Why deduplication matters: Leaked credential datasets contain massive redundancy: ├─ Same data repackaged across collections ├─ Repeated entries from multiple sources ├─ Duplicates inflate exposure metrics Our system normalizes results automatically, showing only unique pairs. 📂 Data returned per credential: ├─ 🔗 URL → Login endpoint ├─ 👤 User → Account identifier ├─ 🔐 Password → Exposed value (masked in demo) ├─ 📅 Date → Collection timestamp ├─ 📦Source → Origin dataset 🛡 Security Operations Use Cases: - Identify exposed employee credentials - Prioritize forced password resets - Measure corporate exposure over time - Support incident response investigations 🎯 Research & Assessment: - Validate exposure scope for clients - Demonstrate risk in security assessments - Track credential circulation patterns 📅 Built for security professionals to understand and remediate credential exposure. 🔗 https://intelligencesecurity.io 🤖 https://t.me/intelligencesecurityiobot

🔍 INVESTIGATION TIP: TreeView - Exploring Stealer Log Contents Container files hide valuable intel. TreeView lets you explore inside before downloading. 📦 Real Example: [Nigeria]_[REDACTED]_steal273.rar └─ 853 files inside 🌐 Browser Data (61 files) ├─ /History → 27 files │ ├─ Chrome_Default.txt │ ├─ Edge_Default.txt │ ├─ Firefox_default-release.txt │ └─ Opera_Stable_Default.txt ├─ /Cookies → 14 files ├─ /AutoFills → 8 files (saved form data) ├─ /Passwords → 5 files ├─ /Bookmarks → 5 files └─ /GoogleAccounts → 2 files 📂 FileGrabber Data (782 files) ├─ /DDrive → 736 files │ ├─ Video editing drafts → 629 projects │ ├─ Development files → 74 source code files │ └─ Media projects → 8 files ├─ /Documents → 42 files └─ /Downloads → 4 files 🖥 System Info ├─ UserInformation.txt (IP, location, hardware) ├─ InstalledSoftware.txt ├─ ProcessList.txt ├─ Passwords.txt (extracted credentials) ├─ Environment.txt └─ screenshot.jpg (desktop capture) 💡 What TreeView reveals: From a single container file: ├─ Browser data across 4+ browsers ├─ Development project files ├─ Personal documents & media projects └─ Full credential extraction One RAR file = 853 files to analyze without downloading. 🛡 Why this matters for organizations: - Incident Response → Understand exactly what data was exfiltrated from a compromised endpoint - Employee Monitoring → Check if corporate credentials or internal documents appear in stealer logs - Risk Assessment → Evaluate exposure depth per affected system - Compliance & Reporting → Document scope of data exposure for regulatory reports 🎯 For Security Researchers: - Analyze stealer log structure without downloading full containers - Identify what types of data each malware family collects - Study infection patterns across regions and browsers TreeView: Browse container contents directly in your browser. No downloads. No risk. Search → Find container → TreeView → Explore contents 🔗 DEMO https://intelligencesecurity.io/search/demo/i

📊B2B Data Brokers - The Industry Trading Your Information Did you know companies exist solely to collect and sell professional data? We searched apollo.io on Intelligence Security: → 6,940 results found 📂 What's exposed: ├─ 🔑 Passwords: 403 files ├─ 🍪 Cookies: 537 files ├─ ⌨️ Autofills: 114 files ├─ 📁 Browser data: 990 files ├─ 📋 Combo lists: 2,164 files └─ 📄 Other: 2,696 files 🏢 B2B platforms commonly found in leaks: ├─ Apollo.io → 200M+ professional contacts ├─ Clearbit → Business data enrichment ├─ Exactis → 340M records leaked (2018) └─ People Data Labs → 1.2B records exposed 📋 What these databases contain: ├─ Corporate & personal emails ├─ Direct phone numbers ├─ Job titles & departments ├─ Employment history ├─ Linked social profiles ├─ Company revenue estimates └─ Technology stack information ⚠️ The risk: When data brokers get breached, professional intel becomes accessible beyond sales teams: ├─ Detailed org charts exposed ├─ Executive contact info circulating ├─ Corporate structures mapped └─ Years of enriched data in one place 🛡 How to protect your organization: ├─ Search your corporate domain regularly ├─ Request data removal from brokers (GDPR/CCPA) ├─ Monitor executive exposure ├─ Train employees on data sharing risks └─ Implement email obfuscation policies Your professional data is a product. Know where it's circulating. 🔗 https://intelligencesecurity.io/search 🤖 https://t.me/intelligencesecurityiobot

🔍 DOMAIN RECON: http://onlyfans.com — 208 subdomains mapped with a single query OnlyFans processes billions in creator payments annually. We ran Domain Recon through our platform and verified each subdomain. 📊 Results: ├─ 📡 208 subdomains discovered ├─ 🌐 18 resolving to live IPs └─ ☁️ Infrastructure across 3 cloud providers 🔎 Key findings by category: 🔐 Authentication & Identity: ├─ http://oauth.onlyfans.com → Auth endpoints ├─ http://id.onlyfans.com → KYC system (Azure) └─ http://autodiscover.onlyfans.com → Exchange services ⚙️ Internal Tools: ├─ http://bug2.onlyfans.com → Error tracking (Sentry) ├─ http://webhook-beta.onlyfans.com → Beta webhooks └─ Multiple staging/test environments detected 📺 Streaming Infrastructure: ├─ 12+ live streaming servers identified ├─ Multiple stream processors and converters ├─ Geo-distributed nodes (US, UK, DE, SG, CA) └─ Release canary pipeline detected 🛒 Third-Party Integrations: ├─ http://store.onlyfans.com → Shopify ├─ http://status.onlyfans.com → StatusPage └─ KYC provider integration visible 💡 What this reveals for security teams: ├─ Full tech stack identification ├─ Cloud provider distribution mapped ├─ Development/staging environments discoverable ├─ Third-party dependencies exposed └─ Geographic infrastructure layout visible One query. No scanning. Just public intelligence. 🔗 https://intelligencesecurity.io/en/search 🤖 https://t.me/intelligencesecurityiobot