ZONN.ai Forensic Report

Case · 683A391E · 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 above the real threshold

Note

The score (45/100) is between real (40) and inconclusive. There is not enough confidence to call this a clean "real" verdict.

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.

Why this verdict

  • Color Distributionread real · 11/100

    Global color distribution shape vs natural-photo baselines.

  • Error Level Analysisread real · 30/100

    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 46
▸ expand
Color Distribution
11
Error Level Analysis
30
Noise Pattern
70
Frequency Analysis
66
Pixel Analysis
35
Edge Consistency
60
Compression Quality
48
Provenance & Metadata3 detectors · mean 44
▸ expand
ICC Profile
35
Metadata
47
C2PA Provenance
50

Image Quality

Dimensions
900 × 360 px
Aspect
2.500
File size
62.5 KB
Bytes / pixel
0.198

Edge Consistency

CV 0.302
Cell 1: 12.0962Cell 2: 7.9114Cell 3: 5.3587Cell 4: 4.7700Cell 5: 10.8144Cell 6: 11.7119Cell 7: 8.7477Cell 8: 8.6841Cell 9: 6.3618Cell 10: 12.2906Cell 11: 7.4996Cell 12: 9.5884Cell 13: 13.8900Cell 14: 13.7402Cell 15: 14.9744Cell 16: 10.1553

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

Range: 4.770014.9744

Noise Fingerprint

Variance
83.85
Std deviation
9.16
Mean
-0.0
Spatial corr.
2.187
Mean Δ
1.38
σ
1.45
CV
1.045
Uniformity
-0.045

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 6, 2026, 1:53 PM
Analyzed byAnonymous