investigating-phishing-email-incident
Pass
Audited by Gen Agent Trust Hub on Aug 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill integrates with established and well-known security intelligence providers, including VirusTotal, URLScan.io, and MalwareBazaar, for automated indicator enrichment.
- [SAFE]: High-privilege PowerShell operations (e.g.,
Set-MsolUserPassword,New-ComplianceSearchAction) are explicitly scoped to containment and remediation tasks within the documented incident response workflow. - [SAFE]: The Python implementation in
scripts/agent.pyfollows best practices by using environment variables for API keys and utilizing standard libraries for parsing email content without employing dynamic code execution or obfuscation techniques. - [INDIRECT_PROMPT_INJECTION]: The skill represents an inherent attack surface for indirect prompt injection because it processes untrusted external data in the form of reported email files (
.eml). - Ingestion points: The agent parses email headers and bodies from user-provided
.emlfiles inscripts/agent.pyandSKILL.md. - Boundary markers: None are present to distinguish between benign data and potentially malicious instructions embedded within the email body.
- Capability inventory: The skill has significant capabilities including network communication (
requests), log searching (Splunk), and administrative actions (PowerShell purging/password resets). - Sanitization: The script extracts URLs via regular expressions but does not sanitize the content before presenting it to the agent interface.
- Context: Given the skill's primary purpose is the analysis of malicious content, this surface is considered a functional requirement and does not escalate the overall verdict.
Audit Metadata