ZONN.ai Forensic Report

Case · A5F046C4 · IMAGE

Analyzed byAnonymous
ZONN Analysis
0

Probably AI-generated

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

Signal ConfidenceWeak · 19/100

Analysed Specimen

Analysed content
No flagged regions

Heads up — 3 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

4 ML detectors did not respond (Ml Img Cifake, Ml Img Deepfake, Ml Img 3class, Ml Python Siglip). The verdict was computed with reduced evidence; reliability is lower than usual.

Weak overall confidence

Note

Aggregate verdict confidence is 19/100. 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

  • Noise Patternflagged AI · 79/100

    Sensor-noise (PRNU) fingerprint check. Real cameras leave camera-unique noise.

  • Color Distributionread real · 22/100

    Global color distribution shape vs natural-photo baselines.

Model Agreement

100%

Variance across 8 ML detectors. Higher agreement means the models converged on the same reading; lower agreement means treat the verdict with care.

Evidence — 18 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 Models8 detectors · mean 50
▸ expand
AI Image Detector
50
Deepfake Detector
50
3-Class Detector
50
SigLIP AI Detector
50
RIGID (DINOv2)
50
Fourier Zero-Shot
50
NPR Artifacts
50
GramNet Texture
50
Pixel & Frequency Forensics7 detectors · mean 52
▸ expand
Noise Pattern
79
Color Distribution
22
Error Level Analysis
25
Frequency Analysis
70
Pixel Analysis
67
Edge Consistency
53
Compression Quality
48
Provenance & Metadata3 detectors · mean 56
▸ expand
ICC Profile
62
Metadata
55
C2PA Provenance
50

Image Quality

Dimensions
1374 × 2048 px
Aspect
0.671
File size
258.6 KB
Bytes / pixel
0.094

Edge Consistency

CV 0.450
Cell 1: 3.6174Cell 2: 3.2352Cell 3: 3.3380Cell 4: 7.2267Cell 5: 11.7956Cell 6: 13.8383Cell 7: 15.9915Cell 8: 16.0588Cell 9: 10.9954Cell 10: 9.4545Cell 11: 12.3337Cell 12: 12.4288Cell 13: 6.9845Cell 14: 5.9560Cell 15: 9.4837Cell 16: 5.5953

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

Range: 3.235216.0588

Noise Fingerprint

Variance
46.66
Std deviation
6.83
Mean
-0.0
Spatial corr.
2.261
Mean Δ
1.57
σ
1.77
CV
1.123
Uniformity
-0.123

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 5, 2026, 10:28 PM
Analyzed byAnonymous