building-automated-malware-submission-pipeline

Pass

Audited by Gen Agent Trust Hub on Mar 16, 2026

Risk Level: SAFEPROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
  • [PROMPT_INJECTION]: The skill implements an automated response workflow that is vulnerable to indirect prompt injection (Tool Output Poisoning).
  • Ingestion points: The pipeline ingests analysis reports from sandbox environments (Cuckoo/Joe Sandbox) in SKILL.md and scripts/agent.py. These reports are generated by executing untrusted malware samples.
  • Boundary markers: Absent. There are no delimiters or instructions to ignore malicious content within the sandbox reports.
  • Capability inventory: The push_iocs_to_blocklist function in SKILL.md performs requests.post operations to a firewall API to block IPs and domains.
  • Sanitization: Absent. Extracted IOCs are sent directly to the blocking API without validation against a whitelist of known-good resources. An attacker could craft a sample that, when analyzed, generates a report containing legitimate IP addresses, leading to an automated denial of service.
  • [DATA_EXFILTRATION]: The skill disables SSL certificate verification when sending telemetry to Splunk.
  • Evidence: verify=False is used in requests.post calls in both SKILL.md and scripts/agent.py. This exposes sensitive analysis data and API tokens to potential Man-in-the-Middle interception.
  • [SAFE]: The provided Python agent script correctly uses environment variables for sensitive API keys and connection strings, adhering to security best practices for credential management.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 16, 2026, 02:48 AM