ZONN.ai Forensic Report

Case · 2EAF3D41 · 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 · 46/100

Analysed Specimen

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

Heads up — 6 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.

Just below the AI threshold

Note

The score (58/100) 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.

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).

ML detectors see this image differently

Note

ML scores span a wide range (0–100). Different architectures read different feature spaces; the majority vote strengthens the consensus, but no single model is fully reliable here.

One detector was unreachable

Note

Bombek1 did not respond during this analysis. The other detectors ran normally.

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

  • CommFor (4803 Generators)read real · 0/100

    CommFor detector trained across 4,803 generator variants for broad coverage.

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

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

Model Agreement

32%

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 62
▸ expand
CommFor (4803 Generators)
0
INA v2 (FLUX/MJ)
100
xRayon ConvNeXtV2
97
SigLIP AI Detector
77
Bombek1 SigLIP+DINOv2
50
Manipulation Map (IML-ViT)
50
Pixel & Frequency Forensics7 detectors · mean 40
▸ expand
Color Distribution
6
Error Level Analysis
17
Pixel Analysis
27
Noise Pattern
73
Frequency Analysis
71
Edge Consistency
35
Compression Quality
50
Provenance & Metadata3 detectors · mean 54
▸ expand
ICC Profile
62
Metadata
50
C2PA Provenance
50

Image Quality

Dimensions
680 × 680 px
Aspect
1.000
File size
58.6 KB
Bytes / pixel
0.130

Frequency Analysis

Radial1.000
DCT0.795
Upsampling1.000
Cross-channel0.027
Power-law β
-3.29
Grid energy
0.308

Edge Consistency

CV 0.849
Cell 1: 1.4927Cell 2: 12.4771Cell 3: 11.4703Cell 4: 3.1294Cell 5: 1.4851Cell 6: 15.9655Cell 7: 21.3394Cell 8: 4.0249Cell 9: 5.1213Cell 10: 9.4462Cell 11: 34.1671Cell 12: 5.7056Cell 13: 1.9758Cell 14: 6.1884Cell 15: 17.1879Cell 16: 9.0974

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

Range: 1.485134.1671

Noise Fingerprint

Variance
67.96
Std deviation
8.24
Mean
-0.0
Spatial corr.
2.484
Mean Δ
1.32
σ
1.64
CV
1.241
Uniformity
-0.241

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 14, 2026, 7:39 AM
Analyzed byAnonymous