ZONN.ai Forensic Report

Case · D5B558F3 · 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 · 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.

Signals do not converge

Note

Score 52/100 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 19/100. 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

  • Noise Patternflagged AI · 78/100

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

  • Color Distributionread real · 25/100

    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
78
Color Distribution
25
Frequency Analysis
72
Error Level Analysis
41
Edge Consistency
56
Pixel Analysis
45
Compression Quality
48
Provenance & Metadata3 detectors · mean 44
▸ expand
ICC Profile
35
Metadata
47
C2PA Provenance
50

Image Quality

Dimensions
1011 × 720 px
Aspect
1.404
File size
112.4 KB
Bytes / pixel
0.158

Edge Consistency

CV 0.384
Cell 1: 8.6967Cell 2: 9.8287Cell 3: 8.2325Cell 4: 8.7200Cell 5: 7.6852Cell 6: 8.9571Cell 7: 9.5942Cell 8: 15.3049Cell 9: 10.6474Cell 10: 10.9343Cell 11: 8.5704Cell 12: 26.5803Cell 13: 15.3177Cell 14: 12.6123Cell 15: 13.6586Cell 16: 12.5407

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

Range: 7.6852 – 26.5803

Noise Fingerprint

Variance
40.15
Std deviation
6.34
Mean
-0.0
Spatial corr.
2.885
Mean Δ
1.82
σ
1.63
CV
0.892
Uniformity
0.108

Provenance

Source Dossier

PlatformDirect upload
Author—
Content Typeimage
Analyzed OnMay 6, 2026, 10:17 PM
Analyzed byAnonymous