ZONN.ai Forensic Report

Case · F311339F · 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 · 18/100

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.

Signals do not converge

Note

Score 48/100 lands in the middle of the inconclusive zone. Detectors did not agree on a story — review multiple lines of evidence below.

Weak overall confidence

Note

Aggregate verdict confidence is 18/100. 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.

Google Lens logoGoogle LensYandex logoYandexTinEye logoTinEyeBing logoBing Visual

Why this verdict

  • Color Distributionread real · 24/100

    Global color distribution shape vs natural-photo baselines.

  • Pixel Analysisread real · 35/100

    Low-level pixel statistics: saturation cliffs, channel histograms, banding.

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 46
▸ expand
Color Distribution
24
Pixel Analysis
35
Error Level Analysis
35
Edge Consistency
65
Noise Pattern
63
Frequency Analysis
59
Compression Quality
43
Provenance & Metadata3 detectors · mean 56
▸ expand
ICC Profile
62
Metadata
55
C2PA Provenance
50

Image Quality

Dimensions
1000 × 667 px
Aspect
1.499
File size
100.7 KB
Bytes / pixel
0.155

Edge Consistency

CV 0.248
Cell 1: 8.3309Cell 2: 13.6411Cell 3: 16.8896Cell 4: 10.8187Cell 5: 12.0792Cell 6: 13.0428Cell 7: 19.6714Cell 8: 12.3102Cell 9: 11.1509Cell 10: 13.6535Cell 11: 17.5103Cell 12: 18.0768Cell 13: 14.4888Cell 14: 7.0012Cell 15: 12.3303Cell 16: 15.9912

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

Range: 7.0012 – 19.6714

Noise Fingerprint

Variance
100.62
Std deviation
10.03
Mean
-0.0
Spatial corr.
2.875
Mean Δ
2.19
σ
2.14
CV
0.979
Uniformity
0.021

Provenance

Source Dossier

PlatformDirect upload
Author—
Content Typeimage
Analyzed OnMay 6, 2026, 11:40 PM
Analyzed byAnonymous