ZONN.ai Forensic Report

Case · A3C20288 · IMAGE

ZONN Analysis
0

Probably real

More signals lean toward real than AI, but some give weaker readings. Worth a second look on close inspection.

Signal ConfidenceLimited · 43/100

Analysed Specimen

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

Heads up — 1 thing 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.

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).

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.

INA v2 (FLUX/MJ)
3
xRayon ConvNeXtV2
97
Error Level Analysis
16
Noise Pattern
84
SigLIP AI Detector
25
Pixel Analysis
75
Frequency Analysis
72
CommFor (4803 Generators)
31
Bombek1 SigLIP+DINOv2
32
Edge Consistency
35
Color Distribution
37
Compression Quality
45
ICC Profile
48
Metadata
50
C2PA Provenance
50
Manipulation Map (IML-ViT)
50

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 15, 2026, 11:58 AM