ZONN.ai Forensic Report

Case · EF0D2F1B · IMAGE · INSTAGRAM

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 · 46/100

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).

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

  • SigLIP AI Detectorflagged AI · 100/100

    SigLIP visual-language model probing semantic vs perceptual coherence.

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

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

Model Agreement

43%

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 71
▸ expand
SigLIP AI Detector
100
INA v2 (FLUX/MJ)
100
xRayon ConvNeXtV2
97
Bombek1 SigLIP+DINOv2
32
CommFor (4803 Generators)
46
Manipulation Map (IML-ViT)
50
Pixel & Frequency Forensics7 detectors · mean 46
▸ expand
Color Distribution
16
Frequency Analysis
80
Edge Consistency
74
Error Level Analysis
30
Noise Pattern
31
Pixel Analysis
35
Compression Quality
53
Provenance & Metadata3 detectors · mean 54
▸ expand
ICC Profile
62
Metadata
50
C2PA Provenance
50

Image Quality

Dimensions
640 × 639 px
Aspect
1.002
File size
102.9 KB
Bytes / pixel
0.258

Frequency Analysis

Radial1.000
DCT0.781
Upsampling1.000
Cross-channel0.418
Power-law β
-3.00
Grid energy
0.328

Edge Consistency

CV 0.164
Cell 1: 24.4108Cell 2: 16.8907Cell 3: 16.7380Cell 4: 22.2764Cell 5: 27.1844Cell 6: 20.8344Cell 7: 16.0372Cell 8: 25.6146Cell 9: 24.8358Cell 10: 27.1769Cell 11: 19.4001Cell 12: 21.1663Cell 13: 20.8762Cell 14: 26.2718Cell 15: 23.7256Cell 16: 19.2380

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

Range: 16.037227.1844

Noise Fingerprint

Variance
188.83
Std deviation
13.74
Mean
0.0
Spatial corr.
5.309
Mean Δ
3.37
σ
3.56
CV
1.056
Uniformity
-0.056

Provenance

Source Dossier

PlatformInstagram
Author
Content Typeimage
Analyzed OnJun 15, 2026, 10:36 PM
Analyzed byAnonymous