ZONN.ai Forensic Report

Case · 34C2204C · IMAGE

Analyzed byAnonymous
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 ConfidenceWeak · 20/100

Analysed Specimen

Analysed content
No flagged regions

Heads up — 2 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 20/100. Several detectors returned uncertain answers or were offline. Read the verdict as a guideline, not as a final answer.

Why this verdict

  • Noise Patternread real · 8/100

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

  • Color Distributionread real · 15/100

    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 34
▸ expand
Noise Pattern
8
Color Distribution
15
Frequency Analysis
29
Pixel Analysis
35
Error Level Analysis
38
Edge Consistency
60
Compression Quality
50
Provenance & Metadata3 detectors · mean 57
▸ expand
ICC Profile
62
Metadata
59
C2PA Provenance
50

Image Quality

Dimensions
750 × 500 px
Aspect
1.500
File size
892.6 KB
Bytes / pixel
2.437

Edge Consistency

CV 0.298
Cell 1: 32.1911Cell 2: 37.2714Cell 3: 42.3416Cell 4: 41.6403Cell 5: 47.7981Cell 6: 58.3467Cell 7: 54.0634Cell 8: 45.1979Cell 9: 45.1656Cell 10: 47.7804Cell 11: 54.8527Cell 12: 60.2011Cell 13: 31.5043Cell 14: 18.9254Cell 15: 19.8342Cell 16: 27.7088

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

Range: 18.9254 – 60.2011

Noise Fingerprint

Variance
403.85
Std deviation
20.10
Mean
-0.0
Spatial corr.
10.024
Mean Δ
3.64
σ
3.40
CV
0.933
Uniformity
0.067

Provenance

Source Dossier

PlatformDirect upload
Author—
Content Typeimage
Analyzed OnMay 5, 2026, 9:45 PM
Analyzed byAnonymous