PatchSiren cyber security CVE debrief
CVE-2026-71446 AIL Project CVE debrief
AIL Framework contains a stored cross-site scripting vulnerability in the crawler domain view. Crawled URLs were embedded directly into the JavaScript onclick handler used to display a stored screenshot, without context-appropriate encoding. An attacker who can cause a specially crafted URL to be recorded in the crawler history can inject JavaScript syntax into the stored URL value.
- Vendor
- AIL Project
- Product
- AIL Framework
- CVSS
- MEDIUM 6.9
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-06
- Original CVE updated
- 2026-08-26
- Advisory published
- 2026-08-06
- Advisory updated
- 2026-08-26
Who should care
Security teams and administrators responsible for AIL Framework deployments should review and update their systems to prevent potential XSS attacks. They should also conduct a thorough inventory check to identify potentially affected systems and implement compensating controls such as web application firewalls to detect and prevent XSS attacks. Additionally, they should monitor for suspicious activity and exception tracking, and perform regular security audits and penetration testing to ensure the patched version is deployed. IT managers and security personnel overseeing AIL Framework should prioritize this vulnerability for immediate review and mitigation due to its potential impact on data confidentiality and system integrity.
Technical summary
The vulnerability exists in the crawler domain view of AIL Framework, where crawled URLs are embedded directly into the JavaScript onclick handler without proper encoding. An attacker can inject JavaScript syntax into the stored URL value, which is then executed when an authenticated analyst clicks the screenshot icon. This could allow an attacker to access information available to the analyst's session, modify displayed content, or perform application actions using the analyst's privileges. Exploitation requires the victim to interact with the affected screenshot entry. Successful exploitation could allow an attacker to access sensitive information or perform unauthorized actions.
Defensive priority
Medium-priority defensive review recommended due to the CVSS score of 6.9 and potential for XSS attacks.
Recommended defensive actions
- Review and update AIL Framework to ensure the patched version is deployed.
- Conduct a thorough inventory check to identify potentially affected systems.
- Implement compensating controls, such as web application firewalls, to detect and prevent XSS attacks.
- Monitor for suspicious activity and exception tracking.
- Perform regular security audits and penetration testing.
Evidence notes
Evidence from the CVE Program and NVD suggests a stored XSS vulnerability exists in AIL Framework's crawler domain view. The vulnerability was corrected by serializing the crawled URL with Jinja's tojson filter. To verify and defend, review the official CVE record and NVD detail page for affected scope and severity. Check for potentially affected systems through a thorough inventory check and implement compensating controls such as web application firewalls to detect and prevent XSS attacks. Monitor for suspicious activity and exception tracking, and perform regular security audits and penetration testing to ensure the patched version is deployed.
Sources and references
Verified primary and authoritative sources
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CVE-2026-71446 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-71446
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-71446 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-71446
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://github.com/ail-project/ail-framework/commit/37aabee8b23503a7782ed5effb92b11ab7db5150
5a6e4751-2f3f-4070-9419-94fb35b644e8
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.