The Agent Skills Directory

[DATA_EXFILTRATION]: The scripts/agent.py file includes a detect_log_format function that reads user-specified local files and returns the first five lines of their content. This capability could be exploited to expose sensitive system or configuration data if the agent is directed to read unauthorized paths.
[DATA_EXFILTRATION]: The validate_syslog_connectivity function in scripts/agent.py uses the Python socket library to send network packets to arbitrary hosts and ports. While designed for SIEM reachability testing, this functionality could be repurposed for unauthorized network scanning or basic data exfiltration.
[PROMPT_INJECTION]: The skill exhibits a potential surface for indirect prompt injection (Category 8) within the scripts/agent.py tool. The script processes untrusted data from log files during format detection, which could contain malicious instructions designed to manipulate the agent's behavior. Evidence Chain: 1. Ingestion points: Log data is ingested in scripts/agent.py through the detect command and its sample_file argument. 2. Boundary markers: None identified; the content is returned to the agent context as raw sample lines without delimiters or instructions to ignore embedded content. 3. Capability inventory: The agent script possesses network communication capabilities (socket) and the ability to generate configuration templates based on processed input. 4. Sanitization: No validation, sanitization, or filtering of the ingested file content is performed before it is included in the output.

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