ZONN.ai Forensic Report

Case · 2DB0FD4A · 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 ConfidenceWeak · 28/100

Analysed Specimen

Analysed content
No flagged regions
Camera
Redmi 13

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.

Multiple detectors unreachable

Note

2 ML detectors did not respond (Ml Python Siglip, Ml Commfor). The verdict was computed with reduced evidence; reliability is lower than usual.

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).

Weak overall confidence

Note

Aggregate verdict confidence is 28/100. Several detectors returned uncertain answers or were offline. Read the verdict as a guideline, not as a final answer.

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

  • Color Distributionread real · 10/100

    Global color distribution shape vs natural-photo baselines.

  • Noise Patternflagged AI · 86/100

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

Model Agreement

100%

Variance across 2 ML detectors. Higher agreement means the models converged on the same reading; lower agreement means treat the verdict with care.

Evidence — 12 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 Models2 detectors · mean 50
▸ expand
SigLIP AI Detector
50
CommFor (4803 Generators)
50
Pixel & Frequency Forensics7 detectors · mean 51
▸ expand
Color Distribution
10
Noise Pattern
86
Frequency Analysis
71
Error Level Analysis
35
Pixel Analysis
57
Compression Quality
48
Edge Consistency
50
Provenance & Metadata3 detectors · mean 54
▸ expand
ICC Profile
62
Metadata
50
C2PA Provenance
50

Image Quality

Dimensions
3000 × 4000 px
Aspect
0.750
File size
3.19 MB
Bytes / pixel
0.278

Frequency Analysis

Radial1.000
DCT0.812
Upsampling1.000
Cross-channel0.040
Power-law β
-3.25
Grid energy
0.282

Edge Consistency

CV 0.506
Cell 1: 3.8558Cell 2: 7.3116Cell 3: 12.8334Cell 4: 3.2612Cell 5: 7.4636Cell 6: 15.9080Cell 7: 14.5981Cell 8: 2.7805Cell 9: 8.7461Cell 10: 11.5053Cell 11: 9.7354Cell 12: 3.3998Cell 13: 7.9157Cell 14: 6.1476Cell 15: 5.5198Cell 16: 4.8620

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

Range: 2.780515.9080

Noise Fingerprint

Variance
23.71
Std deviation
4.87
Mean
-0.0
Spatial corr.
1.908
Mean Δ
1.39
σ
1.35
CV
0.968
Uniformity
0.032

Provenance

Source Dossier

PlatformDirect upload
Author
Content Typeimage
Analyzed OnMay 11, 2026, 8:37 PM
Analyzed byAnonymous