lovstudio-any2pdf
Warn
Audited by Socket on Jul 29, 2026
1 alert found:
AnomalyAnomalyscripts/md2pdf.py
LOWAnomalyLOW
scripts/md2pdf.py
This module does not exhibit clear malware/backdoor behaviors (no eval/exec/subprocess/persistence/credential harvesting). However, it meaningfully increases attack surface for supply-chain/operational abuse: it performs outbound HTTP(S) requests for arbitrary user-supplied image URLs referenced in Markdown, caches downloaded binaries to predictable temp directories, and it can include local files via file:// and resolved local paths without explicit containment enforcement. In untrusted/automated contexts, treat it as a potentially unsafe renderer and restrict image source schemes/domains and constrain/normalize local paths to prevent SSRF/LFI-style abuse and resource exhaustion.
Confidence: 66%Severity: 65%
Audit Metadata