ZONN.ai Forensic Report

Case · 4E36172E · 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 ConfidenceWeak · 20/100

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.

Just below the AI threshold

Note

The score (59/100) 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.

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.

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

  • Color Distributionread real · 4/100

    Global color distribution shape vs natural-photo baselines.

  • Noise Patternflagged AI · 86/100

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

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 45
▸ expand
Color Distribution
4
Noise Pattern
86
Error Level Analysis
15
Frequency Analysis
61
Pixel Analysis
57
Compression Quality
45
Edge Consistency
48
Provenance & Metadata3 detectors · mean 44
▸ expand
ICC Profile
35
Metadata
47
C2PA Provenance
50

Image Quality

Dimensions
506 × 900 px
Aspect
0.562
File size
53.8 KB
Bytes / pixel
0.121

Edge Consistency

CV 0.574
Cell 1: 0.9000Cell 2: 8.2782Cell 3: 7.1349Cell 4: 7.1599Cell 5: 1.0058Cell 6: 12.7327Cell 7: 7.3289Cell 8: 8.5131Cell 9: 1.1357Cell 10: 11.9882Cell 11: 7.7293Cell 12: 12.7253Cell 13: 2.6434Cell 14: 3.1107Cell 15: 10.2484Cell 16: 6.9168

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

Range: 0.900012.7327

Noise Fingerprint

Variance
28.56
Std deviation
5.34
Mean
-0.0
Spatial corr.
1.620
Mean Δ
1.02
σ
1.31
CV
1.280
Uniformity
-0.280

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 6, 2026, 1:52 PM
Analyzed byAnonymous