offensive-osint-methodology
Skill1 starsChanged 50 days agoMITView on GitHub
Structured OSINT methodology framework: target definition, source selection, collection workflows, data correlation, timeline reconstruction, and reporting. Use to guide systematic OSINT campaigns or teach OSINT methodology.
2 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- ajtazer/heckitedited, first seen Sep 11, 2026
- SnailSploit/Claude-Rededited, first seen Aug 6, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- SnailSploit/Claude-Red★ 7.5k96% same
- ajtazer/heckit★ 295% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Show its rules and text
We split this skill into the rules it gives an agent
37 rules. About 0 are common, 33 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈33
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Use separate browser profiles or isolation tools (e.g., Firefox Multi‑Account Containers) for any sock‑puppet activity.
- Distinctive: line 22
Use dedicated browser profiles/containers per case and persona.
- Distinctive: line 23
Prefer hardware‑backed passkeys for critical accounts.
- Distinctive: line 33
Use block explorers to trace fund movements
- Distinctive: line 61
Start with L1 bridge events (deposits/withdrawals).
- Distinctive: line 62
Use L2-specific explorers to trace activity within the rollup.
- Distinctive: line 75
Check for connections to known entities
- Distinctive: line 84
Check for regulatory compliance
- Distinctive: line 96
Use multiple reverse image search engines to find matches or similar images:
- Distinctive: line 103
Use browser extensions for quick searches:
- Distinctive: line 109
Check for embedded metadata (EXIF data) that may contain geolocation or device information:
- Very specific: line 122
Use platforms like Google Street View, Bing Streetside, and Yandex Panorama to virtually explore locations.
- Distinctive: line 124
Use Snap Map public stories for area‑based context pivots.
- Distinctive: line 125
Consider Google Earth Studio for stabilized timelapse and bearing estimation.
- Distinctive: line 149
Use tools to identify mountain peaks and match them with the image.
- Distinctive: line 169
Use Apollo Hunter to find exact satellite image time
- Distinctive: line 171
Verify the size and plane features
- Distinctive: line 182
Search for video snippets on platforms like YouTube, Twitter, or TikTok.
- Distinctive: line 216
Create spectrograms to identify unique sound patterns.
- Distinctive: line 217
Use Shazam or SoundHound to identify music tracks.
- Distinctive: line 219
Use tools like FFmpeg or VLC Media Player to capture frames.
- Distinctive: line 222
Create a panorama if the camera pans across a scene.
- Distinctive: line 224
When possible, obtain the original upload (avoid re‑encodes) to retain metadata and audio clarity.
- Very specific: line 227
Video stabilization: Use FFmpeg deshake or Blender VSE to stabilize panning/shaky footage for better landmark identification.
- Distinctive: line 233
Use shadows to estimate the time of day and date when the image or video was captured.
- Distinctive: line 238
Use the object's height and shadow length to calculate the solar elevation angle.
- Distinctive: line 248
Use UTC consistently across all notes and screenshots.
- Distinctive: line 260
Use software to simulate the sky at different times and locations.
- Distinctive: line 265
Use historical satellite imagery to determine changes over time.
- Distinctive: line 268
Use the historical imagery slider to view images from different dates.
- Distinctive: line 303
Use a rule‑of‑three: require at least three independent weak signals, or one strong + one weak, before asserting linkage.
- Distinctive: line 304
Prefer durable pivots (registrar accounts, code‑signing cert reuse, build path idioms) over ephemeral ones (resolving IPs).
- Very specific: line 332
Check CT logs (crt.sh) for certificate reuse and issuance cadence.
- Distinctive: line 333
Use URLScan and similar crawlers to capture HTML fingerprints, favicons (mmh3), and script hashes for clustering.
- Distinctive: line 383
Use SSDEEP/TLSH and YARA matches to find related samples.
- Distinctive: line 390
Use public analytics (TGStat, Telemetr, Combot) for channel growth, overlaps, and forwarding graphs.
- Very specific: line 393
Search Official Accounts via weixin.sogou.com.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
OSINT Methodology
OpSec
Create a Sock Puppet
- Fake account that cannot be linked to you
- Build a posting history (post stuff, etc.)
- Resources
- Effective Sock Puppets
- Ultimate Guide to Sock Puppets
- Fake Name Generator
- This Person does not Exist
- Use separate browser profiles or isolation tools (e.g., Firefox Multi‑Account Containers) for any sock‑puppet activity.
- Acquire disposable VoIP/SMS numbers (e.g., Burner, Silent Link) to satisfy platform verification without exposing real phone numbers.
- Audit every browser extension before installation; supply‑chain attacks on popular add‑ons have targeted investigators since 2024.
- Use dedicated browser profiles/containers per case and persona; avoid logging into personal accounts.
- Prefer hardware‑backed passkeys for critical accounts; store recovery codes offline.
- Maintain a minimal chain‑of‑custody: timestamp actions, hash key artifacts, and record tool versions per case.
Cryptocurrency Investigation
Transaction Analysis
- Track transaction flows between wallets
- Identify clusters of related addresses
- Monitor large transfers and whale activity
- Use block explorers to trace fund movements
- Tools:
- Cielo: Multi-chain wallet tracking (EVM, Bitcoin, Solana, Tron)
- TRM: Create relationship graphs for addresses/transactions
- Arkham: Multichain explorer with entity labels, graph creation, and alerts
- MetaSleuth: Transaction visualization for retail users
- Range: CCTP bridge explorer
- Socketscan: EVM bridge explorer
- Pulsy: Bridge explorer aggregator
- Chainalysis: Horizon 2.0 cross‑chain tracing suite (paid)
- Elliptic: Lens visual link explorer (launched Dec 2024)
- Most compliance suites now provide real‑time bridge‑risk scoring dashboards (e.g., TRM, Chainalysis)
Layer 2 / Rollup Analysis
- zkSync Era / Polygon zkEVM: Zero-knowledge proofs hide transaction details on L2; only deposit/withdrawal bridge events visible on L1. Use zkSync Era Block Explorer and PolygonScan zkEVM.
- Arbitrum / Optimism: Transactions batched and compressed; L2 state reconstructed from L1 calldata. Use Arbiscan and Optimistic Etherscan. Check L2Beat for risk framework and technology stack.
- StarkNet: Cairo VM with STARK proofs; different address derivation. Use Voyager or StarkScan.
- Base / Blast / Scroll: OP Stack or ZK-rollups; similar challenges to above.
- Privacy protocols on L2:
- Aztec Network: Programmable privacy with noir circuits; limited block explorer visibility.
- Railgun: Privacy system for DeFi on Ethereum/Polygon/BSC; shielded pools obscure sender/receiver/amount.
- Privacy Pools: Proposed Tornado Cash successor with association sets; not yet deployed at scale.
- Challenges:
- Bridge mixers (Hop Protocol, Across, Stargate) create synthetic liquidity pools that break direct tracing; funds enter/exit via pool swaps.
- Cross-rollup transfers further obfuscate trails; requires tracking via bridge contracts and relayer infrastructure.
- Many L2s lack mature analytics tools; explorers show transactions but relationship graphs are sparse.
- Methodology:
- Start with L1 bridge events (deposits/withdrawals); these anchor L2 activity to known addresses.
- Use L2-specific explorers to trace activity within the rollup.
- For privacy protocols, focus on timing analysis, deposit/withdrawal clustering, and off-chain metadata (transaction memos, Tornado Cash-style notes).
Cautions (bridges and heuristics)
- Bridges/mixers/wrappers introduce mint/burn semantics; avoid assuming 1:1 flows without on‑chain proofs.
- MEV/sandwich and aggregator paths can create false "direct" trails; validate with multiple datasets.
- Cross‑label sanity: vendor labels can disagree; treat labels as hypotheses, not ground truth.
- L2 finality: Optimistic rollups have 7-day challenge periods; zkRollups finalize faster but proofs can be batched/delayed.
Wallet Profiling
- Analyze wallet age and activity patterns
- Check for connections to known entities
- Monitor balance changes over time
- Identify associated exchange accounts
Exchange Investigation
- Track deposits/withdrawals
- Monitor trading patterns
- Identify linked accounts
- Check for regulatory compliance
NFT Investigation
- Track ownership history
- Monitor sales and transfers
- Analyze metadata and hidden content
- Identify connected wallets and marketplaces
Image Analysis
- Contextual Analysis
- Use multiple reverse image search engines to find matches or similar images:
- Google Images / Google Lens (note: Google Lens now requires authentication for some features; use incognito/sock-puppet account)
- Yandex Images
- Bing Image Match
- TinEye
- Copyseeker AI‑based reverse‑image search engine
- Perplexity Pro with image upload: AI-powered contextual analysis and web search
- Use browser extensions for quick searches:
- RevEye Reverse Image Search
- Search by Image (multi-engine support)
- Change search terms and time to narrow down the possible results
- You can leverage FakeNews Debunker Extension as well
- Picarta might help with geolocation as well
- Check for embedded metadata (EXIF data) that may contain geolocation or device information:
- Use multiple reverse image search engines to find matches or similar images:
- Foreground
- Signs, license plates, clothing styles, vegetation, and weather conditions.
- Background
- Landmarks, unique buildings, mountains, bodies of water, and infrastructure.
- Map Markings
- Flora and fauna types, which can indicate geographic regions.
- Seasonal indicators like snow, foliage, or daylight hours.
- Trial and Error
- Manually compare features from the image with maps and street views.
- Use platforms like
Google Street View,Bing Streetside, andYandex Panoramato virtually explore locations. - Employ Overpass Turbo
- Use Snap Map public stories for area‑based context pivots.
- Consider Google Earth Studio for stabilized timelapse and bearing estimation.
- Pull Text from Image
- you can use google or Yandex OCR to pull text from image
- you can also search that text alongside your image for better results
- Transcript extraction for video (YouTube): fetch captions to improve keyword and entity search.
Image Forensics
- Analyze images for signs of manipulation or to uncover hidden details.
- Tools
- Forensically
- FotoForensics
- Bellingcat Photo Checker
- Sensity AI Deepfake Monitor
- Exposing.ai facial‑dataset search
- C2PA verification: Adobe Content Credentials Verify and
c2patool
- Techniques
- Error Level Analysis (ELA)
- Metadata examination
- Clone detection
- Noise analysis
Mountain Geolocation
- Use tools to identify mountain peaks and match them with the image.
- Tools
- PeakVisor
- Peakfinder
- PeakLens AR mountain identifier
- Methodology
- Align the silhouette of mountains in the image with the 3D models in the tools.
- Adjust parameters like viewing angle and elevation.
Fire Identification
- Identify fires, deforestation, or environmental changes.
- Tools
- NASA FIRMS
- Sentinel Hub Playground
- Global Forest Watch
- Copernicus EFFIS EU wildfire monitoring portal
Track and Find Planes
- Use Apollo Hunter to find exact satellite image time
- Then use FlightRadar to track that plane that you found
- Verify the size and plane features
- ADS-B Exchange – unfiltered global flight data
Video Analysis
- Find context regarding the video
- Signs, banners, and billboards.
- Architectural styles and building materials.
- Road markings and traffic signs.
- License plates
- Clothing styles and local customs.
- Search for video snippets on platforms like YouTube, Twitter, or TikTok.
- Metadata Extraction
- YouTube Data Viewer
- ExifTool: Extract metadata from downloaded video files.
- Platform-Specific Techniques
- TikTok and Instagram
- APIs change often; prefer platform exports when available
- Sample cadence: 1–4 h for fast‑moving topics; keep a fixed persona and capture logs
- Analyze user profiles for location tags; examine comments and hashtags for clues
- Bluesky AT Protocol
- Resolve handles via
https://bsky.social/xrpc/com.atproto.identity.resolveHandle?handle=<handle>to get DID - Extract full identity document:
https://plc.directory/<did>(returns PLC operations, handle history, PDS endpoint) - Real-time firehose: Use Firesky for live keyword/hashtag monitoring across entire network
- Analytics: SkyView for follower graphs, post engagement, network analysis
- Archive early: AT Protocol allows post deletion and handle migration; capture DIDs and post CIDs
- Labelers and moderation: Check user's selected labelers (affects content visibility); different from centralized moderation
- PDS (Personal Data Server): Users can self-host; identify via DID document to understand data custody
- Resolve handles via
- Mastodon / Fediverse
- Instance matters:
@user@mastodon.socialvs@user@infosec.exchange- different jurisdictions, moderation policies, logging practices - WebFinger for discovery:
https://<instance>/.well-known/webfinger?resource=acct:<user>@<instance>returns ActivityPub actor URL - Cross-instance search: FediSearch aggregates public posts; not all instances are indexed
- Instance enumeration: Fediverse Observer, Fediverse.party for instance lists, stats, software versions
- Graph analysis: Follower/following lists are public by default; export via API for network mapping
- Privacy considerations: Some instances (e.g., Pixelfed, PeerTube) federate differently; check instance software type
- Archive via API: ActivityPub objects are JSON-LD; capture
id,published,content,attributedTofields - Deleted content: Federation is asynchronous; deletions may not propagate immediately; check caches and relay instances
- Instance matters:
- TikTok and Instagram
- Auditory Clues
- Languages or dialects spoken.
- Background noises (train horns, call to prayer, wildlife).
- Tools
- Audacity: Audio editing software
- Sonic Visualiser: Visualize audio data
- SoundCMD crowd‑sourced sound‑matching engine
- Methodology
- Create spectrograms to identify unique sound patterns.
- Use Shazam or SoundHound to identify music tracks.
- Extract Key Frames
- Use tools like FFmpeg or VLC Media Player to capture frames.
- Extract frames at regular intervals or when significant changes occur.
- Stitch frames together if the camera pans to create a panoramic image.
- Create a panorama if the camera pans across a scene.
- Analyze frames using the same techniques as in image geolocation.
- When possible, obtain the original upload (avoid re‑encodes) to retain metadata and audio clarity.
- Decode platform snowflakes (e.g., Discord, Twitter/X) to infer server‑side timestamps for events.
- Threads by Instagram: Similar to Instagram API limitations; use web scraping or official exports where available.
- Video stabilization: Use FFmpeg
deshakeor Blender VSE to stabilize panning/shaky footage for better landmark identification.
Chronolocation and Time Analysis
Shadow Analysis
- Use shadows to estimate the time of day and date when the image or video was captured.
- Methodology
- Determine the length and direction of shadows in the image.
- Identify objects casting the shadows (e.g., poles, buildings).
- Calculate Sun Position
- Use the object's height and shadow length to calculate the solar elevation angle.
- Determine the azimuth (sun's compass direction).
- Tools
- SunCalc
- ShadeMap – interactive 3‑D shadow simulator
- Bellingcat Shadow‑Finder micro‑tool
- Input location coordinates.
- Adjust dates and times to match shadow lengths and directions.
- SunCalc.net: Similar tool with additional features.
- NOAA Solar Calculator for precise solar angles by date/time.
- Use UTC consistently across all notes and screenshots.
- OSM map‑compare sites and EOX Cloudless layers to cross‑check base imagery.
Astronomical Calculations
- For night images, use celestial bodies to determine time and location.
- Tools
- Stellarium: Planetarium software
- SkyMap: Mobile app for stargazing.
- MoonCalc
- Methodology
- Identify visible stars, constellations, or the moon phase.
- Use software to simulate the sky at different times and locations.
- Match the celestial arrangement in the image to a specific date and time.
Satellite Imagery Time
- Use historical satellite imagery to determine changes over time.
- Tools
- Google Earth Pro:
- Use the historical imagery slider to view images from different dates.
- Sentinel Hub EO Browser
- Access Sentinel and Landsat data.
- Create TimeLapse animations.
- Google Earth Pro:
- Methodology
- Enter the location coordinates.
- Select appropriate satellite datasets (Sentinel-2, Landsat 8).
- Analyze changes in the environment to narrow down dates.
- Record coordinates in WKT and hash cached tilesets for reproducibility where feasible.
Threat Actor Investigation
Actor‑Centric Workflow
- Scoping
- Define the actor hypothesis (e.g., APT28, APT29, Turla, Sandworm; APT10, APT41, Mustang Panda, Volt Typhoon).
- Collect seed reports from CERTs and vendors; extract indicators and TTPs.
- Indicator harvesting
- Parse IOCs (domains, IPs, hashes, JA3/JA4, user‑agents) from advisories and reports; normalize and de‑duplicate.
- Validate IOCs with passive DNS, CT logs, sandbox submissions, and open telemetry where possible.
- Infrastructure mapping
- Build pivots from CT logs (SANs, issuer, serials), shared hosting, name‑server reuse, registrar accounts, and HTML/page fingerprints.
- Enrich with ASN/WHOIS history, RPKI/ROA status, geolocation, and hosting provider relationships.
- Artifact profiling
- Extract PE/ELF metadata (PDB paths, compile timestamps, Rich headers, resources language, code‑signing certs).
- Cluster with fuzzy hashes (SSDEEP/TLSH) and identify packers/loaders; search YARA and sandboxes for near‑matches.
- Social and procurement pivots
- Pivot on developer handles, code snippets, academic theses, job posts, and procurement records that imply capability or mandate.
- Falsification and reporting
- Weigh each linkage (weak/medium/strong); document alternatives; avoid single‑source attribution.
- Map TTPs to MITRE ATT&CK and cite sources with exact sections/pages.
Attribution Discipline
- Separate capability from intent and sponsorship; avoid mirror‑imaging.
- Use a rule‑of‑three: require at least three independent weak signals, or one strong + one weak, before asserting linkage.
- Prefer durable pivots (registrar accounts, code‑signing cert reuse, build path idioms) over ephemeral ones (resolving IPs).
- Clearly mark uncertainty levels and confidence (e.g., low/medium/high) and distinguish correlation from control.
Russia‑Specific Pivots
- Corporate/people
- EGRUL/EGRIP extracts (official registry; captcha‑gated) and Rusprofile/Kontur.Focus summaries for entities and directors.
- Government procurement:
zakupki.gov.ru(tenders, contractors), regional portals, and grant listings. - Job boards (e.g.,
hh.ru) for role requirements, tech stacks, and office locations.
- Infrastructure
- RU WHOIS:
whois.tcinet.ru; check registrar accounts, nserver patterns, and RU‑center usage. - Telegram is widely used; analyze channels, admins, cross‑posts, and bot ecosystems.
- RU WHOIS:
- Media/platforms
- VKontakte, Odnoklassniki, Rutube, and regional news portals; search in Russian and transliterations.
China‑Specific Pivots
- Corporate/people
- National Enterprise Credit Info System (
gsxt.gov.cn) for registered entities; cross‑check with Tianyancha/Qichacha (paid/freemium). - ICP filings (
beian.miit.gov.cn) to link domains to legal entities via Unified Social Credit Codes (USCC).
- National Enterprise Credit Info System (
- Infrastructure
- CNNIC WHOIS and hosting footprints; common domestic clouds (Aliyun, Tencent Cloud, Huawei Cloud) and registrar patterns.
- Media/platforms
- Weibo, WeChat Official Accounts (via
weixin.sogou.com), Zhihu, Bilibili, Douyin, Xiaohongshu; search in Chinese and Pinyin.
- Weibo, WeChat Official Accounts (via
Infrastructure & Internet Measurement
- Map IPs to ASNs (HE BGP Toolkit, RIPEstat, BGPView); observe peering and hosting ecosystems.
- Check CT logs (crt.sh) for certificate reuse and issuance cadence; pivot on subjects/issuers/serials.
- Use URLScan and similar crawlers to capture HTML fingerprints, favicons (mmh3), and script hashes for clustering.
- Monitor DNS over time (SecurityTrails PDNS, DNSDB) for subdomain churn and staging domains.
People & Social Media Investigation
Username Enumeration
Profile Picture & Face Search
- Tools:
- PimEyes
- Exposing.ai
- Azure Face API (subject to compliance policies)
Social Graph & Content Analysis
- Tools:
- Maltego
- snscrape
- SocialBlade
- Bluesky/Mastodon: use instance explorers and handle resolvers; pivot across the Fediverse
Infrastructure OSINT
IP & Domain Discovery
Certificate & Passive DNS
- Tools:
Malware & Artifact Analysis Workflow
- Static triage
- Hash (SHA‑256), strings, import tables, PDB path, Rich header, resources; check VT/Malpedia family hints (do not rely solely on AV labels).
- Dynamic/sandbox
- Execute in sandboxes (ANY.RUN, Hybrid Analysis, CAPE, Tria.ge) to collect network IOCs, mutexes, file drops, and C2 patterns.
- Clustering
- Use SSDEEP/TLSH and YARA matches to find related samples; compare config schemas and protocol quirks.
- Reporting
- Normalize IOCs (STIX 2.1 if possible), include ATT&CK technique IDs, and provide reproduction steps.
Telegram/WeChat Investigation
- Telegram
- Use public analytics (TGStat, Telemetr, Combot) for channel growth, overlaps, and forwarding graphs.
- Export channels with Telegram Desktop; preserve message IDs, timestamps (UTC), and media hashes.
- WeChat
- Search Official Accounts via
weixin.sogou.com; archive articles (PNG + WARC); capture__bizIDs and publisher metadata. - Expect link rot and content takedowns—archive early.
- Search Official Accounts via
Automation & Case Management
- Tools:
- Hunchly (browser evidence capture)
- Kasm Workspaces OSINT‑ready workspace images
- ArchiveBox – self‑hosted web archiver
- SingleFileZ
Synthetic Media Verification
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