Historial de auditorías
machine-learning - 6 auditorías
Comparación de versiones
Cambios de capacidades y hallazgos entre versiones auditadas, primero las más recientes.
| Versión | Fecha | Resultado | Elementos de revisión | Cambio vs anterior |
|---|---|---|---|---|
| v6 Más reciente | 5 jul 2026, 12:49 | Sin hallazgos confirmados | 0 | Sin cambios de capacidad |
| v5 | 5 jul 2026, 12:49 | Sin hallazgos confirmados | 0 | Comandos externos |
| v4 | 27 jun 2026, 18:08 | Sin hallazgos confirmados | 0 | Comandos externos |
| v3 | 16 ene 2026, 13:17 | Sin hallazgos confirmados | 0 | Sin cambios de capacidad |
| v2 | 16 ene 2026, 13:17 | Sin hallazgos confirmados | 0 | Comandos externos |
| v1 | 10 ene 2026, 09:29 | Sin hallazgos confirmados | 0 | Base |
5 jul 2026, 12:49
All six static findings are false positives caused by Markdown formatting or machine learning terminology. No prompt injection, malicious intent, data exfiltration, or unsafe execution behavior was found in the reviewed files.
Factores de riesgo
⚙️ Comandos externos (4)
5 jul 2026, 12:49
All six static findings are false positives caused by Markdown formatting or machine learning terminology. No prompt injection, malicious intent, data exfiltration, or unsafe execution behavior was found in the reviewed files.
Factores de riesgo
⚙️ Comandos externos (4)
27 jun 2026, 18:08
Static analysis reported external command, weak cryptography, and reconnaissance patterns. Manual review found instructional Markdown, Python preprocessing examples, and ML terminology, with no executable shell logic or malicious intent.
Falsos positivos estáticos ignorados (4)
Estas coincidencias estáticas fueron descartadas por la revisión semántica o coincidieron con tokens solo de esquema, por lo que se muestran por transparencia, pero no afectan la puntuación de calidad.
16 ene 2026, 13:17
Pure documentation skill containing only markdown guidance for ML development. All static findings are FALSE POSITIVES: The 'external_commands' detections are Python variable names (X_train, X_test) that regex incorrectly matches as backticks; the 'C2 keywords' and 'weak cryptographic algorithm' detections are SHA256 content hash strings in metadata; the 'system reconnaissance' detections are standard ML monitoring references. No executable code, scripts, network calls, or command execution capabilities exist.
Factores de riesgo
⚙️ Comandos externos (21)
16 ene 2026, 13:17
Pure documentation skill containing only markdown guidance for ML development. All static findings are FALSE POSITIVES: The 'external_commands' detections are Python variable names (X_train, X_test) that regex incorrectly matches as backticks; the 'C2 keywords' and 'weak cryptographic algorithm' detections are SHA256 content hash strings in metadata; the 'system reconnaissance' detections are standard ML monitoring references. No executable code, scripts, network calls, or command execution capabilities exist.
Factores de riesgo
⚙️ Comandos externos (21)
10 ene 2026, 09:29
Pure documentation skill with no executable code. Contains only markdown guidance for ML development patterns. No scripts, network calls, file system access beyond its own files, or command execution capabilities.