ZONN.ai Forensic Report

Case · 4984B5E8 · IMAGE · X

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 — 5 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 (55/100) 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.

Uneven compression (ELA)

AI evidence

ELA coefficient of variation is 2.24 — different regions show noticeably different compression levels. Common with composites, edits, or AI generations.

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.

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 · 0/100

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

  • Color Distributionread real · 2/100

    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 34
▸ expand
Error Level Analysis
0
Color Distribution
2
Noise Pattern
78
Pixel Analysis
35
Edge Consistency
35
Compression Quality
40
Frequency Analysis
51
Provenance & Metadata3 detectors · mean 56
▸ expand
ICC Profile
62
Metadata
55
C2PA Provenance
50

Image Quality

Dimensions
2626 × 1474 px
Aspect
1.782
File size
247.3 KB
Bytes / pixel
0.065

Edge Consistency

CV 0.844
Cell 1: 6.1627Cell 2: 2.3782Cell 3: 1.3798Cell 4: 0.0000Cell 5: 10.6753Cell 6: 2.3693Cell 7: 3.5078Cell 8: 12.2271Cell 9: 14.6428Cell 10: 4.4042Cell 11: 8.3928Cell 12: 15.8270Cell 13: 17.7186Cell 14: 6.6318Cell 15: 1.3916Cell 16: 0.0000

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

Range: 0.000017.7186

Noise Fingerprint

Variance
59.40
Std deviation
7.71
Mean
-0.0
Spatial corr.
1.615
Mean Δ
1.25
σ
2.81
CV
2.238
Uniformity
-1.238

Provenance

Source Dossier

PlatformX
Author@ult1m4tom
Content Typeimage
Analyzed OnMay 5, 2026, 10:04 PM
Analyzed byAnonymous