Benford’s Law: Detecting AI-Generated Images Without AI
An 88-year-old fraud-detection law, applied to JPEG compression math, flags AI-generated and heavily edited photos — no AI detection model required at all.
Building steganography detection: what statistical analysis looks for
How statistical steganalysis actually detects hidden data in images — RS analysis, chi-square testing, and why “undetectable” is a claim no steganography tool should make.
Think Twice Before Claiming AI Work as Your Own — What C2PA Content Credentials Prove
AI tools increasingly sign what they create, and editing the file rarely erases it. How C2PA content credentials work, who’s using them, and where LinkedIn fits in.
A Complete Guide to JPEG Forensic Analysis
Every JPEG carries six forensic signals beyond what you see in a photo viewer. This guide covers all of them and explains what they reveal in combination.
How to Forensically Detect AI-Generated Images — No Detection Model Required
Three methods now exist for identifying AI-generated images. Two of them fail when the creator says nothing. This article covers all three — and goes deep on the forensic signals that work regardless of what any label says.
Can you get metadata from a photo someone sent you?
Whether you can read metadata from a received photo depends on the channel, not the tool. Email and AirDrop pass the file unchanged. Messaging apps re-encode — EXIF is gone, but a compression signature takes its place.
The EXIF thumbnail that gave the edit away
JPEG, WebP, PNG, HEIC, AVIF, and camera RAW files embed a firmware-generated thumbnail before any editing software has touched them. When software re-saves the image without updating the thumbnail, the mismatch is forensic evidence — one of 60+ forensic checks snapWONDERS runs automatically on every photo and video.
MakerNote forensics: what camera manufacturers hide inside every photo
MakerNote is the manufacturer-written EXIF block that standard stripping tools typically leave intact — carrying lens serial numbers, shutter counts, burst UUIDs, and capture context that survives a standard privacy scrub. Its absence from a known device is equally revealing.
How to tell if a photo has been edited
How to tell if a photo has been edited: forensic analysis reads compression signatures, manufacturer metadata baselines, and thumbnail mismatches across JPEG, WebP, PNG, and video.
Your camera’s fingerprint survives EXIF stripping — here’s how
Stripping EXIF metadata doesn’t make a photo anonymous. DQT quantisation tables and Huffman coding tables are baked into the JPEG compression — a permanent camera fingerprint that survives every standard metadata strip. Two of the 60+ forensic checks snapWONDERS reads from every image.
How I built a JPEG encoder fingerprint database from scratch
How I built the DQT encoder fingerprint database inside snapWONDERS — deriving libjpeg tables mathematically from the ISO standard, and running a live accumulation pipeline with a trust model to guard against faked metadata. And what this has to do with Vaultify.
Why GPS in photos is more dangerous than most people think
A single geotagged photo shows where you were once. A few dozen shows where you live, work, and go every day — and most people are still sharing photos with full GPS data attached.
What your phone photos reveal about you — and why it matters
Every photo you take on your smartphone embeds a detailed record of where you were, what device you used, and exactly when — and most people have no idea how easy it is to read.
Why you need a Website Vulnerability Disclosure Policy
If you host a website, chances are you’re always vigilant about ensuring its security and protecting it from vulnerabilities. Even with exhaustive measures in place to bolster website security, the …
Revolutionising Image Compression: AI Enhancing WebP and JPEG with Human-Eye Perception
These days I’ve been busy on my latest project at snapWONDERS focused on our latest research development with AI and image processing. AI has the remarkable potential to enhance existing …
Hidden Text in Photos: A Privacy Risk?
A holiday photo can carry readable text you never thought about — a sign, a slogan, a name badge. It helps accessibility, and leaks context just as easily.
Is WebP Gaining Popularity?
WebP files are typically 25–35% smaller than JPEG at the same visual quality, and browser support is near-universal. The metadata questions do not go away.
A new direction — deep digital media forensics
After some time away, the work is moving in a new direction. Hueyify has been paused. The story behind that is personal, and it’s told in full at kennethbspringer.au/our-story. The …
Check Photos for Identifying Metadata
Stripping EXIF feels like the end of the problem. It is not. Metadata hides in more places than EXIF, and a photo can be identified from its own contents.
Facebook’s Hidden FBMD Photo Tag
While analysing photo metadata I found an IPTC “Special Instructions” field beginning with FBMD, added during upload to Facebook — and why that matters.
Are Blacked-Out Photos Really Hidden?
Blotting out a face or an address before sharing a photo feels safe. But embedded thumbnails can still hold the version you thought you had hidden.
How to View a Photo’s Hidden Metadata
Every photo carries metadata you never see. Here is how to read it — EXIF, embedded thumbnails and the rest — on any device, with nothing to install.