ZONN.ai Forensic Report

Case · 751AB831 · 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 · 17/100

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.

Weak overall confidence

Note

Aggregate verdict confidence is 17/100. Several detectors returned uncertain answers or were offline. Read the verdict as a guideline, not as a final answer.

No ICC color profile

AI evidence

The image does not embed an ICC color profile. Real camera files almost always carry sRGB or Adobe RGB profiles — a missing profile is often a sign of generator output or re-encoded media.

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

  • Error Level Analysisread real · 31/100

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

  • Metadataflagged AI · 67/100

    EXIF / XMP / IPTC signatures. Generators sometimes self-tag the output.

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 50
▸ expand
Error Level Analysis
31
Color Distribution
36
Noise Pattern
62
Pixel Analysis
57
Compression Quality
56
Frequency Analysis
54
Edge Consistency
53
Provenance & Metadata3 detectors · mean 60
▸ expand
Metadata
67
ICC Profile
62
C2PA Provenance
50

Image Quality

AI-typical dimensions
Dimensions
1024 × 1024 px
Aspect
1.000
File size
181.6 KB
Bytes / pixel
0.177

Edge Consistency

CV 0.445
Cell 1: 4.6646Cell 2: 21.6280Cell 3: 23.1831Cell 4: 4.5311Cell 5: 10.4865Cell 6: 24.8876Cell 7: 25.4459Cell 8: 9.3978Cell 9: 7.8568Cell 10: 14.9011Cell 11: 20.1635Cell 12: 17.3918Cell 13: 29.5757Cell 14: 27.1390Cell 15: 21.6526Cell 16: 24.1487

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

Range: 4.531129.5757

Noise Fingerprint

Variance
77.65
Std deviation
8.81
Mean
-0.0
Spatial corr.
4.411
Mean Δ
2.99
σ
3.10
CV
1.036
Uniformity
-0.036

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 5, 2026, 10:30 PM
Analyzed byAnonymous