PatchSiren cyber security CVE debrief
CVE-2026-78427 go CVE debrief
A security issue in NeuVector admission webhook allows users to evade admission deny rules by naming their image path after one of three hardcoded service mesh sidecar images. This issue affects defenders and security teams using NeuVector, who should assess exposure and update configurations to prevent exploitation. The vulnerability is caused by the webhook's logic, which silently excludes containers from policy evaluation based on image paths matching hardcoded service mesh sidecar images.
- Vendor
- go
- Product
- github.com/neuvector/neuvector
- CVSS
- MEDIUM 4.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-09-17
- Original CVE updated
- 2026-09-18
- Advisory published
- 2026-09-17
- Advisory updated
- 2026-09-18
Who should care
Defenders and security teams using NeuVector should assess exposure and update configurations to prevent exploitation. They should verify image paths and implement additional security measures to prevent evasion. Security teams should also review compensating controls for exposed systems while remediation is scheduled and verified.
Why it matters
A security issue in NeuVector admission webhook allows users to evade admission deny rules by naming their image path after one of three hardcoded service mesh sidecar images.
- Defenders may need to verify image paths to prevent evasion
- Security teams should update NeuVector configurations to prevent exploitation
Technical summary
The NeuVector admission webhook silently excludes containers from policy evaluation when their image path matches one of three hardcoded service mesh sidecar images. This allows users to evade admission deny rules by naming their image path after one of these sidecar images. The issue affects defenders and security teams using NeuVector, who should assess exposure and update configurations to prevent exploitation. The vulnerability is caused by the webhook's logic, which silently excludes containers from policy evaluation based on image paths matching hardcoded service mesh sidecar images.
Defensive priority
Defenders should prioritize verifying image paths and updating NeuVector configurations.
Recommended defensive actions
- Verify NeuVector configurations and update image path validation
- Monitor for suspicious image path usage
- Implement additional security measures to prevent evasion
- 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
- 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 security issue. The issue is caused by the NeuVector admission webhook's logic, which silently excludes containers from policy evaluation when their image path matches one of three hardcoded service mesh sidecar images. The image path is entirely controlled by the workload author, allowing any user capable of deploying workloads to evade admission deny rules simply by naming their image path after one of these sidecar images. Defenders should verify image paths and update NeuVector
Sources and references
Verified primary and authoritative sources
-
CVE-2026-78427 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-78427
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-78427 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-78427
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/neuvector/neuvector/security/advisories/GHSA-78r4-3wfq-r2xm
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.