ZONN.ai Forensic Report

Case · B14F0CA2 · 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 · 48/100

Analysed Specimen

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

Heads up — 4 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.

ML detectors disagree with each other

Note

2 models confidently say "AI" (Itsnotai V2, Xrayon Convnext) while 2 confidently say "real" (Ml Python Siglip, Ml Commfor). This image sits at the edge of what ML can decide — manual review is recommended.

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.

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).

ML detectors see this image differently

Note

ML scores span a wide range (6–100). Different architectures read different feature spaces; the majority vote strengthens the consensus, but no single model is fully reliable here.

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)
100
xRayon ConvNeXtV2
97
Error Level Analysis
5
SigLIP AI Detector
6
CommFor (4803 Generators)
9
Pixel Analysis
17
ICC Profile
18
Noise Pattern
76
Color Distribution
26
Frequency Analysis
73
Compression Quality
55
Edge Consistency
54
Bombek1 SigLIP+DINOv2
50
Metadata
50
C2PA Provenance
50
Manipulation Map (IML-ViT)
50

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 14, 2026, 9:58 PM