ZONN.ai Forensic Report

Case · E118AF87 · IMAGE

VAnalyzed by@vxqxqxq
ZONN Analysis
0

Very likely AI-generated

Most signals point to AI generation. Detection tools are not perfect — treat this as a strong indication, not a verdict.

Signal ConfidenceLimited · 49/100

Analysed Specimen

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

Heads up — 4 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).

ML detectors see this image differently

Note

ML scores span a wide range (28–100). Different architectures read different feature spaces; the majority vote strengthens the consensus, but no single model is fully reliable here.

C2PA provenance manifest present

Real evidence

This image carries a Content Authenticity (C2PA) manifest — the source and edit chain are cryptographically verifiable. Typical of professional media and provenance-aware tools.

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

  • INA v2 (FLUX/MJ)flagged AI · 100/100

    BEiT-Large dual-head classifier trained on FLUX, Midjourney, and real photo corpora.

  • xRayon ConvNeXtV2flagged AI · 97/100

    ConvNeXtV2 detector trained on FLUX, DALL-E 3, SDXL, SD3.5, and Midjourney v6.

Model Agreement

38%

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 66
▸ expand
INA v2 (FLUX/MJ)
100
xRayon ConvNeXtV2
97
SigLIP AI Detector
90
CommFor (4803 Generators)
28
Bombek1 SigLIP+DINOv2
29
Manipulation Map (IML-ViT)
50
Pixel & Frequency Forensics7 detectors · mean 50
▸ expand
Color Distribution
12
Noise Pattern
84
Error Level Analysis
27
Frequency Analysis
73
Edge Consistency
57
Pixel Analysis
45
Compression Quality
50
Provenance & Metadata3 detectors · mean 58
▸ expand
Metadata
62
ICC Profile
62
C2PA Provenance
50

Image Quality

Dimensions
1086 × 1448 px
Aspect
0.750
File size
1.90 MB
Bytes / pixel
1.264

Frequency Analysis

Radial1.000
DCT0.816
Upsampling1.000
Cross-channel0.117
Power-law β
-3.65
Grid energy
0.277

Edge Consistency

CV 0.358
Cell 1: 11.5344Cell 2: 9.6640Cell 3: 8.4797Cell 4: 2.5859Cell 5: 3.3235Cell 6: 9.6588Cell 7: 8.9572Cell 8: 2.9551Cell 9: 4.1345Cell 10: 10.0715Cell 11: 9.8867Cell 12: 7.9576Cell 13: 8.1977Cell 14: 7.8654Cell 15: 8.1112Cell 16: 6.8887

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

Range: 2.585911.5344

Noise Fingerprint

Variance
33.42
Std deviation
5.78
Mean
-0.0
Spatial corr.
1.869
Mean Δ
1.48
σ
1.61
CV
1.089
Uniformity
-0.089

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnAug 30, 2026, 11:20 PM
Analyzed by@vxqxqxq