🖼️ 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
🔗 Analyst pivots
🔍 Lookup
📜 Playbook — Image / Photograph exploitation
- Direction — frame the requirement for Image / Photograph: what decision does this support, by when?
- Collection — pull the 0 mapped sources (0 free) and the native workbench; capture provenance and observe OPSEC.
- Processing — normalize, de-duplicate and enrich the collected data.
- Analysis — correlate against local holdings; apply ACH; assign confidence.
- Dissemination — open a case, draft a report, share via STIX/MISP.
- Feedback — set an alert rule / watchlist to monitor for change.
⚡ AI Skills & Automation
Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).
🧩 Advanced Capabilities
✨ Enrichment pathways
🎫 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
📚 Enrichment & validation sources
🔗 Pivot to
🧩 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
Workstation · Copilot · AI Skills · Automation · Playbooks · Lookups · Docs · Reports
🤖 AI Copilot
⚡ AI Skills
🔍 Lookup & Enrich
📚 Docs & Reports
💡 Recommendations
- Explore related tools below
- Automate recurring work via cron