ZONN.ai Forensic Report

Case · D04AC60F · 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 — 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 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

  • Color Distributionread real · 9/100

    Global color distribution shape vs natural-photo baselines.

  • Error Level Analysisread real · 12/100

    Error Level Analysis. Re-saves and diffs to expose uneven compression regions.

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 30
▸ expand
Color Distribution
9
Error Level Analysis
12
Noise Pattern
24
Pixel Analysis
27
Edge Consistency
43
Frequency Analysis
48
Compression Quality
48
Provenance & Metadata3 detectors · mean 56
▸ expand
ICC Profile
62
Metadata
55
C2PA Provenance
50

Image Quality

Dimensions
1085 × 1450 px
Aspect
0.748
File size
306.7 KB
Bytes / pixel
0.200

Edge Consistency

CV 0.708
Cell 1: 8.4647Cell 2: 35.8022Cell 3: 39.1711Cell 4: 8.7855Cell 5: 3.6036Cell 6: 37.1260Cell 7: 58.3990Cell 8: 9.8052Cell 9: 2.0172Cell 10: 31.0779Cell 11: 54.9414Cell 12: 17.9446Cell 13: 2.7935Cell 14: 25.0613Cell 15: 43.1545Cell 16: 26.8969

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

Range: 2.0172 – 58.3990

Noise Fingerprint

Variance
270.27
Std deviation
16.44
Mean
-0.0
Spatial corr.
6.126
Mean Δ
2.88
σ
3.82
CV
1.327
Uniformity
-0.327

Provenance

Source Dossier

PlatformDirect upload
Author—
Content Typeimage
Analyzed OnMay 6, 2026, 10:54 PM
Analyzed byAnonymous