scientific-slides

Warn

Audited by Socket on Sep 3, 2026

1 alert found:

Anomaly
AnomalyLOW
scripts/validate_presentation.py

No evidence of stealthy malware (no network/exfiltration, no credential theft, no obfuscated payloads) was observed in this module. The dominant security concern is operational and supply-chain-adjacent: when given a `.tex` file, it executes `pdflatex` via `subprocess.run` in the input file’s directory without sandboxing or explicit hardening, which can lead to unsafe filesystem side effects and potentially dangerous TeX behaviors depending on the environment. PDF/PPTX parsing adds secondary risk for malformed inputs. Overall: likely safe for trusted inputs, but risky for untrusted LaTeX unless sandboxed and hardened.

Confidence: 66%Severity: 62%
Audit Metadata
Analyzed At
Sep 3, 2026, 07:15 PM
Package URL
pkg:socket/skills-sh/denden047%2Fclaude-scientific-skills%2Fscientific-slides%2F@be65bf501bd2b35b300a6b293d45c9e48bcb711239c5cdd454838b57193f7203