Data Points

🖼️ Image / Photograph

A still image — carries EXIF metadata and is the primary artifact for visual verification.
Media

Sources

0
0 no-auth

Disciplines

0
that use it

Mission domains

0
reach

Workbench

native tool

🔍 Lookup

📜 Playbook — Image / Photograph exploitation

  1. Direction — frame the requirement for Image / Photograph: what decision does this support, by when?
  2. Collection — pull the 0 mapped sources (0 free) and the native workbench; 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).

🎫 Image / Photograph

An image is a photograph or still frame carrying visual content plus embedded metadata (EXIF), used as evidence in geolocation, identity and provenance work. It matters for verifying claims, geolocating events, detecting manipulation/deepfakes and linking media to devices, places and people.

Format: Raster file (JPEG/PNG/HEIC/WEBP/TIFF) with optional EXIF/IPTC/XMP metadata; integrity referenced by md5/sha1/sha256 hash and perceptual hash (pHash/aHash/dHash).

📡 How it is collected

  • Social media and messaging uploads
  • Device camera capture (with EXIF)
  • Web scraping / image search
  • CCTV / bodycam frame grabs
  • Leaked datasets and archives
  • Satellite / aerial imagery

🧩 Analysis & hunting techniques

  • EXIF/XMP metadata extraction and consistency check
  • Reverse image search for earliest/other occurrences
  • Error-level analysis and splice/manipulation detection
  • Shadow/sun-angle geolocation (chronolocation)
  • Landmark and signage OCR geolocation
  • Perceptual-hash near-duplicate clustering
  • Deepfake/GAN-artifact detection
  • Camera-fingerprint (PRNU) attribution

🔧 Tools

  • ExifTool
  • InVID/WeVerify
  • FotoForensics
  • TinEye
  • Yandex Images
  • SunCalc
  • Overpass Turbo
  • Maltego

⚡ Workbench actions

  • Extract EXIF/XMP metadata
  • Run reverse image search
  • Compute file & perceptual hashes
  • Perform ELA / manipulation check
  • Geolocate via shadows/landmarks
  • Cluster near-duplicates by pHash
  • Screen for deepfake artifacts
  • Pivot to source account/URL

📊 Dashboard KPIs

EXIF metadata present (%)Reverse-search matches foundManipulation-likelihood scoreGeolocation confidenceNear-duplicate cluster size
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