analyzing-pdf-malware-with-pdfid
Warn
Audited by Socket on Sep 17, 2026
1 alert found:
AnomalyAnomalySKILL.md
LOWAnomalyLOW
SKILL.md
SUSPICIOUS: The skill's purpose and capabilities are largely aligned for PDF malware triage, but the installation guidance is not internally clean: it points to unpinned PyPI packages that do not clearly match the official upstream tools, including a third-party `pdfid` clone and a questionable `pdf-parser` package reference. Data stays local and there is no evident credential theft or exfiltration, but the combination of malware-analysis tooling and inconsistent dependency provenance raises medium security risk.
Confidence: 91%Severity: 64%
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