CVE-2026-91943
Crawl4AI before 0.9.3 contains a server-side request forgery vulnerability in PDFContentScrapingStrategy where _get_pdf_path() re-downloads …
Crawl4AI before 0.9.3 contains a server-side request forgery vulnerability in PDFContentScrapingStrategy where _get_pdf_path() re-downloads targets with Python requests without egress validation. Authenticated attackers can supply URLs that redirect to internal addresses or use DNS rebinding to access internal services, exfiltrating responses through PDF text extraction in crawl results.
Why it matters
- ▸ Remotely exploitable over the network — no physical or local access required
- ▸ Low attack complexity — no special conditions needed to exploit
- ▸ Requires low-privilege access first
- ▸ No user interaction needed — can be exploited automatically
Apply the vendor patch as soon as it's available or already released. Review and restrict accounts with the privilege level this vulnerability requires.
This analysis is generated from structured CVSS vector data, CISA KEV cross-referencing, and vendor/product category rules — not a manual expert review. Treat it as a starting point, not a substitute for your own assessment.
CVSS Vector Breakdown
EU Vulnerability Database (ENISA)
EUVD is ENISA's EU vulnerability database, still in beta. EPSS is a probabilistic exploitation-likelihood score, not a certainty.
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