ZONN.ai Forensic Report
Case · 1F2867DC · IMAGE
Very likely real
Most signals point to a real, human-captured source. Detection tools are not perfect — treat this as a strong indication, not a verdict.
Analysed Specimen
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.
AI generator fingerprints detected
AI evidenceFrequency analysis (FFT score 84/100) shows modern diffusion-style upsampling patterns, but the ML models say "real". This combination is a known blind spot for newer generators (SDXL, FLUX, Midjourney v6) — the verdict above may be misleading.
Image is very small
NoteDimensions 140×140 (under 256×256). Detection models cannot give a reliable answer on inputs this small.
Upsampling artifacts in the frequency domain
AI evidenceFFT analysis found strong upsampling patterns — a fingerprint of diffusion-model VAE decoders (latent → pixel-space upscale).
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
- SigLIP AI Detectorread real · 0/100
SigLIP visual-language model probing semantic vs perceptual coherence.
- CommFor (4803 Generators)read real · 0/100
CommFor detector trained across 4,803 generator variants for broad coverage.
Model Agreement
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 11▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 58▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 54▸ expand▾ collapse
Image Quality
- Dimensions
- 140 × 140 px
- Aspect
- 1.000
- File size
- 4.6 KB
- Bytes / pixel
- 0.239
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: 0.9933 – 1.5341
Noise Fingerprint
- Variance
- 0.79
- Std deviation
- 0.89
- Mean
- -0.0
- Spatial corr.
- 0.210
- Mean Δ
- 0.69
- σ
- 0.74
- CV
- 1.076
- Uniformity
- -0.076