Histórico de Auditoria
when-developing-ml-models-use-ml-expert - 5 auditorias
Versão da auditoria 5
Mais recente Baixo RiscoJan 17, 2026, 03:49 AM
This skill is a legitimate machine learning development workflow containing standard ML patterns. The 75 static findings are FALSE POSITIVEs: hash identifiers misclassified as C2 keywords, markdown code fences misclassified as Ruby backtick execution, and hash strings misclassified as weak cryptography. All detected operations (file I/O, model serialization, distributed training) are standard ML engineering practices with no malicious intent.
Problemas de Risco Médio (2)
Problemas de Baixo Risco (1)
Fatores de risco
📁 Acesso ao sistema de arquivos (2)
🌐 Acesso à rede (1)
⚙️ Comandos externos (1)
Versão da auditoria 4
Baixo RiscoJan 17, 2026, 03:49 AM
This skill is a legitimate machine learning development workflow containing standard ML patterns. The 75 static findings are FALSE POSITIVEs: hash identifiers misclassified as C2 keywords, markdown code fences misclassified as Ruby backtick execution, and hash strings misclassified as weak cryptography. All detected operations (file I/O, model serialization, distributed training) are standard ML engineering practices with no malicious intent.
Problemas de Risco Médio (2)
Problemas de Baixo Risco (1)
Fatores de risco
📁 Acesso ao sistema de arquivos (2)
🌐 Acesso à rede (1)
⚙️ Comandos externos (1)
Versão da auditoria 3
Risco MédioJan 10, 2026, 01:38 PM
The ML Expert skill is a legitimate machine learning development workflow with standard ML practices. It involves file I/O operations for data loading and model saving, external dependencies for ML frameworks, and optional distributed training via Flow-Nexus. While these capabilities could potentially be misused, the code follows standard ML development patterns with no evidence of malicious intent.
Problemas de Risco Médio (2)
Problemas de Baixo Risco (2)
Fatores de risco
📁 Acesso ao sistema de arquivos (4)
🌐 Acesso à rede (1)
⚙️ Comandos externos (1)
Versão da auditoria 2
Risco MédioJan 10, 2026, 01:38 PM
The ML Expert skill is a legitimate machine learning development workflow with standard ML practices. It involves file I/O operations for data loading and model saving, external dependencies for ML frameworks, and optional distributed training via Flow-Nexus. While these capabilities could potentially be misused, the code follows standard ML development patterns with no evidence of malicious intent.
Problemas de Risco Médio (2)
Problemas de Baixo Risco (2)
Fatores de risco
📁 Acesso ao sistema de arquivos (4)
🌐 Acesso à rede (1)
⚙️ Comandos externos (1)
Versão da auditoria 1
Risco MédioJan 10, 2026, 01:38 PM
The ML Expert skill is a legitimate machine learning development workflow with standard ML practices. It involves file I/O operations for data loading and model saving, external dependencies for ML frameworks, and optional distributed training via Flow-Nexus. While these capabilities could potentially be misused, the code follows standard ML development patterns with no evidence of malicious intent.