CVE-2026-91943
Received Received - Intake

Server-Side Request Forgery in Crawl4AI PDF Scraping

Vulnerability report for CVE-2026-91943, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-09-15

Last updated on: 2026-09-15

Assigner: VulnCheck

Description

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.

CVSS Scores

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Meta Information

Published
2026-09-15
Last Modified
2026-09-15
Generated
2026-09-15
AI Q&A
2026-09-15
EPSS Evaluated
N/A
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
unclecode crawl4ai to 0.9.3 (exc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-918 The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

Attack-Flow Graph

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Executive Summary

Crawl4AI before version 0.9.3 has a server-side request forgery (SSRF) vulnerability in the PDFContentScrapingStrategy component. The function _get_pdf_path() downloads PDFs using Python requests without checking if the URLs point to internal or restricted addresses. Attackers with authentication can exploit this by providing URLs that redirect internally or use DNS rebinding to access internal services. The responses are then exfiltrated through PDF text extraction in crawl results.

Impact Analysis

Authenticated attackers could access internal services or sensitive data by tricking the system into making unauthorized requests. This could lead to data breaches, unauthorized access to internal resources, or exfiltration of sensitive information through manipulated PDF content.

Compliance Impact

This vulnerability could lead to unauthorized access to personal or sensitive data, violating GDPR and HIPAA requirements for data protection and access controls. Organizations using affected versions may face compliance violations, legal penalties, and reputational damage due to potential data breaches.

Mitigation Strategies

Upgrade Crawl4AI to version 0.9.3 or later to address the SSRF vulnerability in PDFContentScrapingStrategy. Ensure egress validation is implemented for all URL fetches to prevent internal service access.

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