Data Points

#️⃣ File Hash

Cryptographic fingerprint of a file, used for malware identification.
Cyber

Sources

7
5 no-auth

Disciplines

4
that use it

Mission domains

6
reach

Workbench

native tool

🔌 Sources that yield File Hash (7)

SourceCategoryAuthFormat
abuse.ch SSLBL JA3 Fingerprints
Malicious TLS client JA3 fingerprint blocklist.
CERTINTNONEcsvhome↗ api↗
APTnotes
Public archive of APT research reports.
APTNONEjsonhome↗ api↗
MITRE ATT&CK Groups (STIX)
Adversary groups, software and techniques.
APTNONEjsonhome↗ api↗
MITRE ATT&CK Software/Actors
Adversary tooling & group knowledge base.
ACTORINTNONEjsonhome↗ api↗
ORKL Threat Report Library
Full-text CTI report library API.
APTNONEjsonhome↗ api↗
AlienVault OTX Pulses
Community threat-intel pulses (free key).
Threat AnalysisKEYjsonhome↗ api↗
Malpedia
Curated malware family encyclopedia.
MALINTKEYjsonhome↗ api↗

🔍 Lookup

📜 Playbook — File Hash exploitation

  1. Direction — frame the requirement for File Hash: what decision does this support, by when?
  2. Collection — pull the 7 mapped sources (5 free) and the native workbench (open); capture provenance and observe OPSEC.
  3. Processing — normalize, de-duplicate and enrich the collected data.
  4. Analysis — correlate against local holdings; apply ACH; assign confidence.
  5. Dissemination — open a case, draft a report, share via STIX/MISP.
  6. Feedback — set an alert rule / watchlist to monitor for change.

⚡ AI Skills & Automation

🤖 Copilot brief⚡ AI SkillsResolveEnrichAuto-CollectHuntReportExport

Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).

🎫 File Hash

A file hash is a fixed-length cryptographic digest (MD5, SHA-1, SHA-256) or fuzzy/import hash (ssdeep, imphash, TLSH) that uniquely fingerprints a file's contents. It matters because it is the atomic IOC for identifying known-bad binaries, deduplicating samples, and pivoting to malware families and campaigns.

Format: 32/40/64 hex chars (MD5/SHA-1/SHA-256); imphash 32 hex; ssdeep chunked base64 (blocksize:hash:hash); TLSH 70 hex; authentihash for PE signing.

📡 How it is collected

  • EDR/AV telemetry and quarantine logs
  • Sandbox detonation output (Cuckoo/CAPE)
  • Email gateway & proxy attachment logging
  • Threat-intel feeds and ISAC sharing
  • Static computation over collected file corpus
  • Memory dumps and forensic disk images

🧩 Analysis & hunting techniques

  • Multi-AV consensus & detection-name normalization
  • Fuzzy-hash (ssdeep/TLSH) similarity clustering
  • Imphash pivoting on shared import tables
  • YARA retro-hunt across sample corpus
  • Known-good filtering via NSRL allowlisting
  • Code-similarity / genetic analysis (Intezer)
  • Signer-cert reuse tracking
  • First-seen / prevalence timelining

🔧 Tools

  • YARA
  • ssdeep / TLSH
  • PE-bear / pefile
  • CAPA (Mandiant)
  • Detect It Easy (DIE)
  • vt-cli
  • capev2 sandbox

⚡ Workbench actions

  • Look up multi-source reputation
  • Detonate in sandbox
  • Generate YARA rule
  • Cluster by fuzzy hash
  • Pivot to C2 infrastructure
  • Check NSRL known-good
  • Extract imphash & signer
  • Retro-hunt corpus

📊 Dashboard KPIs

AV detection ratioFirst-seen date / ageSample prevalence countFuzzy-hash cluster sizeFamily attribution confidence
Workstation · Copilot · AI Skills · Automation · Playbooks · Lookups · Docs · Reports

🤖 AI Copilot

🔍 Lookup & Enrich

💡 Recommendations

⚙ Automation

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