ACTS - Blind Cipher Identification: leaderboard
Metric: Accuracy (%; tier-3 blind identification of the algorithm family from ciphertext alone, no filename or metadata: 127 independently generated files, about 18 per family, in seven families (AES-128-CBC, AES-256-CBC, DES-CBC, 3DES, ChaCha20-Poly1305, RSA-OAEP-2048, ML-KEM-768) with unique random keys, plaintexts and padding lengths and no identifying headers; temperature 0, at most 512 output tokens; chance 14.3). Source: arxiv.org. Saturation forecast: Around June 2027. 3 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Nemotron 3 Super | 37.3 |
| 2 | GPT-OSS-120B | 30.7 |
| 3 | Gemma 4 31B | 24.4 |
Interactive version: theaggregate.ai/benchmark?slug=acts-blind-cipher-identification · How It Works · Data refreshed daily, snapshot 2026-09-26.