ZONN.ai Forensic Report

Case · 38070734 · IMAGE

MAnalyzed by@muzip
ZONN Analysis
0

Probably AI-generated

More signals lean toward AI generation than real, but some give weaker readings. Treat with caution.

Signal ConfidenceWeak · 31/100

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.

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).

Weak overall confidence

Note

Aggregate verdict confidence is 31/100. Several detectors returned uncertain answers or were offline. Read the verdict as a guideline, not as a final answer.

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

  • xRayon ConvNeXtV2flagged AI · 97/100

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

  • Color Distributionread real · 8/100

    Global color distribution shape vs natural-photo baselines.

Model Agreement

59%

Variance across 6 ML detectors. Higher agreement means the models converged on the same reading; lower agreement means treat the verdict with care.

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.

ML Models6 detectors · mean 54
▸ expand
xRayon ConvNeXtV2
97
INA v2 (FLUX/MJ)
31
Bombek1 SigLIP+DINOv2
47
SigLIP AI Detector
50
CommFor (4803 Generators)
50
Manipulation Map (IML-ViT)
50
Pixel & Frequency Forensics7 detectors · mean 44
▸ expand
Color Distribution
8
Error Level Analysis
26
Frequency Analysis
74
Noise Pattern
40
Pixel Analysis
57
Edge Consistency
54
Compression Quality
50
Provenance & Metadata3 detectors · mean 54
▸ expand
ICC Profile
62
Metadata
50
C2PA Provenance
50

Image Quality

Dimensions
1920 × 1072 px
Aspect
1.791
File size
4.72 MB
Bytes / pixel
2.403

Frequency Analysis

Radial1.000
DCT0.766
Upsampling1.000
Cross-channel0.188
Power-law β
-3.13
Grid energy
0.352

Edge Consistency

CV 0.421
Cell 1: 10.0784Cell 2: 10.0907Cell 3: 16.7133Cell 4: 13.2029Cell 5: 20.0477Cell 6: 17.9613Cell 7: 16.5164Cell 8: 12.4930Cell 9: 15.2393Cell 10: 18.6544Cell 11: 21.3432Cell 12: 17.3591Cell 13: 36.8771Cell 14: 32.1290Cell 15: 29.6309Cell 16: 37.0345

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

Range: 10.078437.0345

Noise Fingerprint

Variance
160.87
Std deviation
12.68
Mean
-0.0
Spatial corr.
4.736
Mean Δ
2.89
σ
3.20
CV
1.109
Uniformity
-0.109

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 19, 2026, 4:07 PM
Analyzed by@muzip