ZONN.ai Forensic Report

Case · 0B398EDC · IMAGE

Analyzed byAnonymous
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 · 45/100

Analysed Specimen

Original analysed image
Forensic suspicion heatmap
OriginalHeatmap
POS55/100
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.

No metadata at all

AI evidence

The file has no EXIF, XMP, IPTC, or ICC metadata. This is common for social-media re-uploads and for many generator outputs — real camera files almost always carry an ICC profile.

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).

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 · 98/100

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

Model Agreement

50%

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 75
▸ expand
INA v2 (FLUX/MJ)
100
xRayon ConvNeXtV2
98
SigLIP AI Detector
94
Bombek1 SigLIP+DINOv2
74
CommFor (4803 Generators)
34
Manipulation Map (IML-ViT)
50
Pixel & Frequency Forensics7 detectors · mean 42
▸ expand
Error Level Analysis
19
Color Distribution
23
Frequency Analysis
75
Pixel Analysis
35
Noise Pattern
43
Compression Quality
56
Edge Consistency
44
Provenance & Metadata3 detectors · mean 54
▸ expand
ICC Profile
62
Metadata
50
C2PA Provenance
50

Image Quality

AI-typical dimensions
Dimensions
1024 × 1024 px
Aspect
1.000
File size
161.4 KB
Bytes / pixel
0.158

Frequency Analysis

Radial1.000
DCT0.752
Upsampling1.000
Cross-channel0.251
Power-law β
-3.00
Grid energy
0.372

Edge Consistency

CV 0.669
Cell 1: 11.2041Cell 2: 5.4245Cell 3: 0.8396Cell 4: 48.9556Cell 5: 21.7797Cell 6: 20.4163Cell 7: 17.7200Cell 8: 19.1928Cell 9: 46.5957Cell 10: 34.7321Cell 11: 22.1874Cell 12: 26.3996Cell 13: 18.5048Cell 14: 15.2294Cell 15: 7.8073Cell 16: 4.4280

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

Range: 0.839648.9556

Noise Fingerprint

Variance
146.73
Std deviation
12.11
Mean
-0.0
Spatial corr.
4.979
Mean Δ
2.27
σ
2.74
CV
1.210
Uniformity
-0.210

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 14, 2026, 6:16 PM
Analyzed byAnonymous