performing-hash-cracking-with-hashcat

Pass

Audited by Gen Agent Trust Hub on Mar 15, 2026

Risk Level: SAFECOMMAND_EXECUTIONDATA_EXFILTRATIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
  • [COMMAND_EXECUTION]: Automated execution of the hashcat utility.\n
  • Evidence: scripts/agent.py uses subprocess.run to execute the system binary.\n
  • Context: It correctly passes arguments as a list, which prevents shell injection vulnerabilities.\n- [COMMAND_EXECUTION]: Generation of command-line strings for manual execution.\n
  • Evidence: scripts/process.py provides a generate_hashcat_command function that returns a joined string of command arguments.\n
  • Context: Users should be aware that executing these strings in a shell requires input sanitization if source filenames are untrusted.\n- [DATA_EXFILTRATION]: Access to sensitive cryptographic material.\n
  • Evidence: The scripts read and parse files containing hashes and cracked passwords (potfiles).\n
  • Evidence: scripts/agent.py writes output to the temporary directory at /tmp/hashcat_out.txt.\n- [EXTERNAL_DOWNLOADS]: References to official security tools and wordlists.\n
  • Evidence: references/standards.md links to official GitHub repositories for Hashcat and common wordlists like SecLists.\n
  • Context: These are well-known resources in the cybersecurity community and are considered safe sources.\n- [PROMPT_INJECTION]: Vulnerability to indirect instruction injection through processed data.\n
  • Ingestion points: Hash files and potfiles read by scripts/agent.py and scripts/process.py.\n
  • Boundary markers: Absent; the scripts parse file lines directly without explicit instruction-filtering delimiters.\n
  • Capability inventory: Capability to execute subprocesses (agent.py) and write files (process.py).\n
  • Sanitization: Basic validation using regex patterns for hash identification.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 15, 2026, 01:51 PM