ZONN.ai Forensic Report
Case · DC733560 · IMAGE
Inconclusive
Signals are mixed or weak. We can't tell with confidence — context, source, and your own judgement matter here.
Analysed Specimen
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.
Multiple detectors unreachable
Note2 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 evidenceFFT analysis found strong upsampling patterns — a fingerprint of diffusion-model VAE decoders (latent → pixel-space upscale).
Signals do not converge
NoteScore 46/100 lands in the middle of the inconclusive zone. Detectors did not agree on a story — review multiple lines of evidence below.
Weak overall confidence
NoteAggregate verdict confidence is 30/100. 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.
Google Lens
Yandex
TinEye
Bing VisualWhy this verdict
- Noise Patternread real · 12/100
Sensor-noise (PRNU) fingerprint check. Real cameras leave camera-unique noise.
- Frequency Analysisflagged AI · 74/100
Fast-Fourier inspection. Diffusion outputs leave periodic spectral peaks.
Model Agreement
Variance across 3 ML detectors. Higher agreement means the models converged on the same reading; lower agreement means treat the verdict with care.
Evidence — 13 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 Models3 detectors · mean 50▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 43▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 54▸ expand▾ collapse
Image Quality
- Dimensions
- 1024 × 1024 px
- Aspect
- 1.000
- File size
- 267.9 KB
- Bytes / pixel
- 0.262
Frequency Analysis
Edge Consistency
Per-region edge density (4 × 4 grid). Uneven distribution may indicate localized editing or splicing; uniform fields are typical of fully synthetic outputs.
Range: 21.0758 – 56.9341
Noise Fingerprint
- Variance
- 262.14
- Std deviation
- 16.19
- Mean
- -0.0
- Spatial corr.
- 9.080
- Mean Δ
- 3.30
- σ
- 3.12
- CV
- 0.947
- Uniformity
- 0.053