ZONN.ai Forensic Report

Case · CB3E857B · 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.

Just below the AI threshold

Note

The score (56/100) 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 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 · 81/100

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

  • Color Distributionread real · 20/100

    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 51
▸ expand
Noise Pattern
81
Color Distribution
20
Frequency Analysis
71
Error Level Analysis
32
Pixel Analysis
57
Compression Quality
48
Edge Consistency
51
Provenance & Metadata3 detectors · mean 44
▸ expand
ICC Profile
35
Metadata
47
C2PA Provenance
50

Image Quality

Dimensions
680 × 540 px
Aspect
1.259
File size
60.5 KB
Bytes / pixel
0.169

Edge Consistency

CV 0.483
Cell 1: 16.8809Cell 2: 6.5974Cell 3: 6.4840Cell 4: 3.2198Cell 5: 17.6964Cell 6: 8.9206Cell 7: 8.4913Cell 8: 5.2490Cell 9: 7.3116Cell 10: 6.6896Cell 11: 6.2600Cell 12: 7.0437Cell 13: 8.2938Cell 14: 9.0829Cell 15: 7.0568Cell 16: 3.1230

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

Range: 3.1230 – 17.6964

Noise Fingerprint

Variance
43.97
Std deviation
6.63
Mean
0.0
Spatial corr.
1.914
Mean Δ
1.48
σ
1.52
CV
1.026
Uniformity
-0.026

Provenance

Source Dossier

PlatformDirect upload
Author—
Content Typeimage
Analyzed OnMay 6, 2026, 1:51 PM
Analyzed byAnonymous