EXIF
Camera and capture fields that may include model, time, orientation, and GPS data.
Technical clues are strongest when their purpose and failure modes are explicit. Metadata can be edited; hashes answer different questions; provenance records need validation.
Camera and capture fields that may include model, time, orientation, and GPS data.
Descriptive, administrative, rights, and workflow metadata used by publishers and creators.
A byte-level fingerprint that changes when any file byte changes.
A compact visual fingerprint designed to remain somewhat similar after ordinary transformations.
Cryptographically verifiable provenance assertions about creation and editing history.
Use the Image Metadata Checker to record available fields and a SHA-256 fingerprint. The image hash guide explains when perceptual hashes are more useful for resized or recompressed files, while signed provenance credentials describe asserted history and whether the credential validates.
Platforms commonly remove metadata during upload or recompression. Screenshots and copied files may not retain the original fields. A missing camera model does not prove an image is synthetic, and missing Content Credentials do not prove that a file is deceptive.
Keep an untouched copy, calculate a cryptographic hash, and note the acquisition URL and time. Export technical results separately. This establishes which file was examined and prevents later edits from being confused with the source artifact.
Inspect file metadata and create a SHA-256 fingerprint without storing the upload.
Understand EXIF, IPTC, cryptographic hashes, perceptual hashes, and Content Credentials without overclaiming what they prove.
Use metadata as one evidence layer, preserve the original file, and distinguish absence from contradiction.
Estimated reading time: 8 minutes.
A practical hash selection matrix with collision, transformation, threshold, and evidence limitations made explicit.
Estimated reading time: 10 minutes.
A provenance-focused explanation of manifests, assertions, signatures, validation, trust, edits, and common interpretation errors.
Estimated reading time: 10 minutes.
A field-by-field method for classifying metadata as observed, internally consistent, externally supported, or contradicted.
Estimated reading time: 9 minutes.