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PatchSiren cyber security CVE debrief

CVE-2026-109239 unclecode CVE debrief

CVE-2026-109239 is a blind server-side request forgery vulnerability in Crawl4AI before 0.9.4, specifically in the RobotsParser.can_fetch function. This vulnerability allows unauthenticated attackers to bypass Docker server egress controls by enabling check_robots_txt and using redirects or DNS rebinding to reach internal, loopback, or cloud-metadata addresses for service discovery.

Vendor
unclecode
Product
crawl4ai
CVSS
MEDIUM 6.9
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-12
Original CVE updated
2026-10-12
Advisory published
2026-10-12
Advisory updated
2026-10-12

Who should care

Defenders responsible for Crawl4AI instances, especially those with Docker server egress controls, should assess exposure and potential impact. They should verify exposure of Crawl4AI instances, assess potential service discovery by attackers, and update to version 0.9.4 or later. Additionally, defenders should review compensating controls for exposed systems while remediation is scheduled and verified, and check relevant monitoring, detection, and logs

Why it matters

CVE-2026-109239 is a medium-severity vulnerability in Crawl4AI that allows attackers to bypass Docker server egress controls. Defenders should verify exposure, assess potential impact, and update to version 0.9.4 or later.

  • Service discovery by attackers
  • Potential bypass of Docker server egress controls
  • Unauthenticated access to internal or loopback addresses
  • Possible exploitation for further attacks

Technical summary

The vulnerability is caused by a blind server-side request forgery (SSRF) in the RobotsParser.can_fetch function of Crawl4AI before 0.9.4. This allows unauthenticated attackers to bypass Docker server egress controls by enabling check_robots_txt and using redirects or DNS rebinding to reach internal, loopback, or cloud-metadata addresses for service discovery. The vulnerability has a medium severity and defenders should prioritize verifying exposure of Crawl4AI instances, especially those with Docker server egress controls, and assess the impact of potential service discovery by attackers.

Defensive priority

Defenders should prioritize verifying exposure of Crawl4AI instances, especially those with Docker server egress controls, and assess the impact of potential service discovery by attackers.

Recommended defensive actions

  • Verify Crawl4AI instance exposure, especially those with Docker server egress controls
  • Assess potential service discovery by attackers
  • Update Crawl4AI to version 0.9.4 or later
  • Monitor for potential exploitation attempts
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record and source item provide details on the vulnerability in Crawl4AI before 0.9.4, specifically a blind server-side request forgery (SSRF) vulnerability in the RobotsParser.can_fetch function. Limited information is available on potential exploitation or affected systems. Defenders should verify exposure of Crawl4AI instances, especially those with Docker server egress controls, assess potential service discovery by attackers, and monitor for potential exploitation attempts. The vulnerability allows unauthenticated attacks,

Sources and references

Verified primary and authoritative sources

  • CVE-2026-109239 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-109239

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-109239 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-109239

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

  • Crawl4AI before 0.9.4 Blind SSRF via RobotsParser.can_fetch robots.txt Fetch

    Unverified legacy reference

    URL: https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/109xxx/CVE-2026-109239.json

    cve_program_cvelist_v5

  • Source reference

    Unverified legacy reference

    URL: https://github.com/unclecode/crawl4ai/security/advisories/GHSA-f77g-77vp-r96v

    Supplemental source - vendor-advisory

  • Source reference

    Unverified legacy reference

    URL: https://www.vulncheck.com/advisories/crawl4ai-before-0.9.4-blind-ssrf-via-robotsparser-can-fetch-robots-txt-fetch

    Supplemental source - third-party-advisory

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.