PatchSiren cyber security CVE debrief
CVE-2026-71640 ZJU-FAST-Lab CVE debrief
CVE-2026-71640 is a critical vulnerability in EGO-Planner-v2 that allows unsafe vehicle motion due to improper handling of expired trajectory data. The issue exists in all versions up to commit 5c99a95880401e2599638d567abc0e240396cb42. Defenders should assess exposure, especially those managing autonomous vehicle systems or researching vehicle safety.
- Vendor
- ZJU-FAST-Lab
- Product
- EGO-Planner-v2
- CVSS
- CRITICAL 9.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-09-10
- Original CVE updated
- 2026-09-14
- Advisory published
- 2026-09-10
- Advisory updated
- 2026-09-14
Who should care
Autonomous vehicle system administrators, researchers, and developers should assess exposure and verify if their systems are affected by this vulnerability. They should review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance. Additionally, they should plan vendor-supported updates or mitigations through normal change control where exposure is confirmed and consider compensating controls for exposed
Why it matters
CVE-2026-71640 is a critical vulnerability in EGO-Planner-v2 that requires attention from autonomous vehicle system administrators and researchers to verify exposure and apply necessary patches or mitigations.
- Unsafe vehicle motion could lead to accidents or injuries
- Potential impact on autonomous vehicle system reliability and safety
- Need for verification of EGO-Planner-v2 installations and configurations
- Priority for patching or mitigating the vulnerability
Technical summary
The vulnerability exists in EGO-Planner-v2, a software used in autonomous vehicle systems. It allows unsafe vehicle motion due to improper handling of expired trajectory data in the replanning pipeline. The issue affects all versions up to commit 5c99a95880401e2599638d567abc0e240396cb42. Defenders should assess exposure, especially those managing autonomous vehicle systems or researching vehicle safety. The vulnerability has a critical CVSS score of 9.1 and requires attention from autonomous vehicle system administrators and researchers.
Defensive priority
High priority for autonomous vehicle system administrators and researchers to verify exposure and apply patches or mitigations.
Recommended defensive actions
- Verify exposure of EGO-Planner-v2 installations
- Review vehicle system configurations for potential impact
- Monitor for patches or updates from the vendor
- Consider compensating controls for vehicle safety
- Review 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
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The CVE record and NVD entry provide details on the vulnerability, but specific version information and remediation steps are limited. Defenders should verify EGO-Planner-v2 installations, review configurations, and monitor for patches or updates from the vendor. The vulnerability affects all versions up to commit 5c99a95880401e2599638d567abc0e240396cb42, and its impact on autonomous vehicle system reliability and safety needs assessment.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-71640 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-71640
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-71640 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-71640
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://gist.github.com/DongJiaxin0422/cbb657769220e3bc247a4ab9ed37bb4f
-
Source reference
Unverified legacy reference
URL: https://github.com/ZJU-FAST-Lab/EGO-Planner-v2
-
Source reference
Unverified legacy reference
URL: https://github.com/ZJU-FAST-Lab/EGO-Planner-v2/issues/61
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.