analyzing-pdf-malware-with-pdfid

Warn

Audited by Socket on Sep 17, 2026

1 alert found:

Anomaly
AnomalyLOW
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%
Audit Metadata
Analyzed At
Sep 17, 2026, 09:47 PM
Package URL
pkg:socket/skills-sh/mukul975%2Fanthropic-cybersecurity-skills%2Fanalyzing-pdf-malware-with-pdfid%2F@583a0d91164a12546dd835abb814214f86662924581a035a4a7edfe1e4705697