ZONN.ai Forensic Report

Case · 94265B3F · IMAGE

Analyzed byAnonymous
ZONN Analysis
0

Probably real

More signals lean toward real than AI, but some give weaker readings. Worth a second look on close inspection.

Signal ConfidenceLimited · 39/100

Analysed Specimen

Original analysed image
Forensic suspicion heatmap
OriginalHeatmap
POS55/100
No flagged regions

Heads up — 1 thing 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.

Upsampling artifacts in the frequency domain

AI evidence

FFT analysis found strong upsampling patterns — a fingerprint of diffusion-model VAE decoders (latent → pixel-space upscale).

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

  • SigLIP AI Detectorread real · 3/100

    SigLIP visual-language model probing semantic vs perceptual coherence.

  • Bombek1 SigLIP+DINOv2read real · 7/100

    SigLIP2 + DINOv2 LoRA ensemble fine-tuned on OpenFake (25+ modern generators).

Model Agreement

47%

Variance across 6 ML detectors. Higher agreement means the models converged on the same reading; lower agreement means treat the verdict with care.

Evidence — 16 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 Models6 detectors · mean 38
▸ expand
SigLIP AI Detector
3
Bombek1 SigLIP+DINOv2
7
xRayon ConvNeXtV2
80
CommFor (4803 Generators)
44
INA v2 (FLUX/MJ)
44
Manipulation Map (IML-ViT)
50
Pixel & Frequency Forensics7 detectors · mean 41
▸ expand
Noise Pattern
25
Error Level Analysis
27
Pixel Analysis
35
Frequency Analysis
63
Color Distribution
41
Edge Consistency
47
Compression Quality
48
Provenance & Metadata3 detectors · mean 54
▸ expand
ICC Profile
62
Metadata
50
C2PA Provenance
50

Image Quality

Dimensions
941 × 1672 px
Aspect
0.563
File size
266.4 KB
Bytes / pixel
0.173

Frequency Analysis

Radial0.820
DCT0.694
Upsampling1.000
Cross-channel0.094
Power-law β
-2.57
Grid energy
0.459

Edge Consistency

CV 0.596
Cell 1: 16.4581Cell 2: 17.8975Cell 3: 21.9129Cell 4: 20.3928Cell 5: 27.4756Cell 6: 17.1385Cell 7: 27.7045Cell 8: 18.5052Cell 9: 17.5946Cell 10: 8.0514Cell 11: 43.6996Cell 12: 49.3999Cell 13: 3.1955Cell 14: 2.9522Cell 15: 41.5859Cell 16: 45.6292

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

Range: 2.9522 – 49.3999

Noise Fingerprint

Variance
223.58
Std deviation
14.95
Mean
0.0
Spatial corr.
5.902
Mean Δ
2.36
σ
2.59
CV
1.096
Uniformity
-0.096

Provenance

Source Dossier

PlatformDirect upload
Author—
Content Typeimage
Analyzed OnJun 1, 2026, 2:44 PM
Analyzed byAnonymous