ZONN.ai Forensic Report

Case · 7C4C85BC · IMAGE

Analyzed byAnonymous
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 · 36/100

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.

Multiple detectors unreachable

Note

2 ML detectors did not respond (Ml Python Siglip, Ml Commfor). The verdict was computed with reduced evidence; reliability is lower than usual.

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.

Why this verdict

  • INA v2 (FLUX/MJ)flagged AI · 100/100

    BEiT-Large dual-head classifier trained on FLUX, Midjourney, and real photo corpora.

  • xRayon ConvNeXtV2flagged AI · 95/100

    ConvNeXtV2 detector trained on FLUX, DALL-E 3, SDXL, SD3.5, and Midjourney v6.

Model Agreement

53%

Variance across 5 ML detectors. Higher agreement means the models converged on the same reading; lower agreement means treat the verdict with care.

Evidence — 15 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.

ML Models5 detectors · mean 69
▸ expand
INA v2 (FLUX/MJ)
100
xRayon ConvNeXtV2
95
SigLIP AI Detector
50
CommFor (4803 Generators)
50
Manipulation Map (IML-ViT)
50
Pixel & Frequency Forensics7 detectors · mean 45
▸ expand
Error Level Analysis
23
Frequency Analysis
75
Pixel Analysis
35
Color Distribution
37
Edge Consistency
47
Noise Pattern
52
Compression Quality
48
Provenance & Metadata3 detectors · mean 54
▸ expand
ICC Profile
62
Metadata
50
C2PA Provenance
50

Image Quality

Dimensions
1132 × 1390 px
Aspect
0.814
File size
234.6 KB
Bytes / pixel
0.153

Frequency Analysis

Radial1.000
DCT0.841
Upsampling1.000
Cross-channel0.141
Power-law β
-3.38
Grid energy
0.238

Edge Consistency

CV 0.587
Cell 1: 9.7870Cell 2: 16.3430Cell 3: 14.1837Cell 4: 9.8499Cell 5: 12.7165Cell 6: 35.5160Cell 7: 23.2964Cell 8: 11.9061Cell 9: 15.1834Cell 10: 43.8180Cell 11: 13.0137Cell 12: 9.3448Cell 13: 8.0825Cell 14: 23.8849Cell 15: 14.6113Cell 16: 7.4992

Per-region edge density (4 × 4 grid). Uneven distribution may indicate localized editing or splicing; uniform fields are typical of fully synthetic outputs.

Range: 7.499243.8180

Noise Fingerprint

Variance
129.59
Std deviation
11.38
Mean
-0.0
Spatial corr.
3.864
Mean Δ
2.29
σ
2.65
CV
1.158
Uniformity
-0.158

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 13, 2026, 9:01 AM
Analyzed byAnonymous