ZONN.ai Forensic Report

Case · FA8831F3 · IMAGE

ZONN Analysis
0

Inconclusive

Signals are mixed or weak. We can't tell with confidence — context, source, and your own judgement matter here.

Signal ConfidenceLimited · 38/100

Analysed Specimen

Original analysed image
Forensic suspicion heatmap
OriginalHeatmap
POS55/100
No flagged regions

Heads up — 5 things to know

Why this analysis might be off

We highlight every disagreement and unusual signal we found so you can judge for yourself. Stronger warnings come first; informational notes are at the bottom.

Heavy JPEG compression

Note

Bytes-per-pixel is 0.038 — the image is heavily compressed. ML accuracy drops on heavily re-encoded images; treat the verdict with extra caution.

Just below the AI threshold

Note

The score (58/100) is right at the boundary between inconclusive and AI (60). A single signal flip could swing the verdict — treat this as suggestive rather than definitive.

No metadata at all

AI evidence

The file has no EXIF, XMP, IPTC, or ICC metadata. This is common for social-media re-uploads and for many generator outputs — real camera files almost always carry an ICC profile.

Upsampling artifacts in the frequency domain

AI evidence

FFT analysis found strong upsampling patterns — a fingerprint of diffusion-model VAE decoders (latent → pixel-space upscale).

No ICC color profile

AI evidence

The image does not embed an ICC color profile. Real camera files almost always carry sRGB or Adobe RGB profiles — a missing profile is often a sign of generator output or re-encoded media.

Origin Check

Trace this image elsewhere

Cross-reference the source against major reverse-image services. Each link opens in a new tab with the image URL preloaded — ZONN.ai does not re-upload the image.

Evidence — 16 detectors reviewed

What each detector saw

Each detector independently gave this imagea score from 0 (definitely real) to 100 (definitely AI). The score above is their weighted consensus — detectors with higher confidence count more. No single detector decides; you read the spread.

SigLIP AI Detector
100
INA v2 (FLUX/MJ)
100
Noise Pattern
97
Color Distribution
11
Error Level Analysis
14
Bombek1 SigLIP+DINOv2
83
xRayon ConvNeXtV2
19
Frequency Analysis
76
ICC Profile
62
CommFor (4803 Generators)
61
Pixel Analysis
45
Edge Consistency
45
Compression Quality
53
Metadata
50
C2PA Provenance
50
Manipulation Map (IML-ViT)
50

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 16, 2026, 10:19 PM