ZONN.ai Forensic Report

Case · BBF21AF4 · 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 ConfidenceLimited · 43/100

Analysed Specimen

Original analysed image
Forensic suspicion heatmap
OriginalHeatmap
POS55/100
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.

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).

Signals do not converge

Note

Score 47/100 lands in the middle of the inconclusive zone. Detectors did not agree on a story — review multiple lines of evidence below.

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 Detectorflagged AI · 99/100

    SigLIP visual-language model probing semantic vs perceptual coherence.

  • Noise Patternflagged AI · 96/100

    Sensor-noise (PRNU) fingerprint check. Real cameras leave camera-unique noise.

Model Agreement

44%

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 43
▸ expand
SigLIP AI Detector
99
Bombek1 SigLIP+DINOv2
14
xRayon ConvNeXtV2
23
CommFor (4803 Generators)
25
INA v2 (FLUX/MJ)
48
Manipulation Map (IML-ViT)
50
Pixel & Frequency Forensics7 detectors · mean 58
▸ expand
Noise Pattern
96
Error Level Analysis
24
Pixel Analysis
75
Frequency Analysis
71
Color Distribution
36
Edge Consistency
55
Compression Quality
50
Provenance & Metadata3 detectors · mean 45
▸ expand
ICC Profile
35
Metadata
50
C2PA Provenance
50

Image Quality

Dimensions
400 × 400 px
Aspect
1.000
File size
20.2 KB
Bytes / pixel
0.129

Frequency Analysis

Radial1.000
DCT0.833
Upsampling1.000
Cross-channel0.011
Power-law β
-3.68
Grid energy
0.250

Edge Consistency

CV 0.393
Cell 1: 2.1185Cell 2: 2.9791Cell 3: 2.1334Cell 4: 2.5846Cell 5: 3.0063Cell 6: 3.0084Cell 7: 5.2828Cell 8: 4.1465Cell 9: 1.9342Cell 10: 2.9356Cell 11: 5.7574Cell 12: 2.8635Cell 13: 1.5453Cell 14: 2.6097Cell 15: 2.7989Cell 16: 1.5108

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

Range: 1.5108 – 5.7574

Noise Fingerprint

Variance
5.11
Std deviation
2.26
Mean
0.0
Spatial corr.
0.652
Mean Δ
0.70
σ
0.80
CV
1.145
Uniformity
-0.145

Provenance

Source Dossier

PlatformDirect upload
Author—
Content Typeimage
Analyzed OnMay 14, 2026, 5:28 PM
Analyzed byAnonymous