PatchSiren cyber security CVE debrief
CVE-2026-6432 Silicon Labs CVE debrief
A bounds validation vulnerability exists in the ZAP command parser of EmberZNet SDK versions 8.0.0 through 9.1.1 and before 7.5.2. This issue may result in crashes or dynamic memory leakage if an attacker can send arbitrary messages on the network. The only known exploit leaks a limited number of bytes from the stack, without causing denial-of-service, memory corruption, or remote code execution.
- Vendor
- Silicon Labs
- Product
- EmberZNet
- CVSS
- MEDIUM 5.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-06-25
- Original CVE updated
- 2026-10-15
- Advisory published
- 2026-06-25
- Advisory updated
- 2026-10-15
Who should care
Defenders responsible for networked systems using EmberZNet SDK versions 8.0.0 through 9.1.1 or before 7.5.2 should assess potential exposure and prioritize verification and compensating controls.
Why it matters
CVE-2026-6432 is a medium-severity vulnerability in EmberZNet SDK that may result in crashes or memory leakage if exploited. Defenders should verify exposure in networked systems, assess compensating controls, and prioritize monitoring for potential anomalies.
- Verification of exposure in networked systems using affected EmberZNet SDK versions
- Assessment of compensating controls or monitoring needs
- Potential for crashes or dynamic memory leakage if exploited
- Limited information available on potential denial-of-service or other impacts
Technical summary
The ZAP command parser in EmberZNet SDK versions 8.0.0 through 9.1.1 and before 7.5.2 has an improper bounds validation vulnerability. This may result in crashes or dynamic memory leakage if an attacker can send arbitrary messages on the network. The vulnerability's only known exploit leaks a limited number of bytes from the stack without causing denial-of-service, memory corruption, or remote code execution.
Defensive priority
Defenders should prioritize verifying exposure in networked systems using EmberZNet SDK versions 8.0.0 through 9.1.1 or before 7.5.2, and assess the need for compensating controls or monitoring to detect potential anomalies.
Recommended defensive actions
- Verify networked systems using EmberZNet SDK versions 8.0.0 through 9.1.1 or before 7.5.2 for potential exposure
- Assess the need for compensating controls or monitoring to detect potential anomalies
- Review and update inventory to ensure accurate tracking of affected versions
- 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 vulnerability, including its description, CVSS score, and affected versions. A source reference from Silicon Labs provides additional context. Defenders should verify exposure in networked systems using EmberZNet SDK versions 8.0.0 through 9.1.1 or before 7.5.2, assess compensating controls, and prioritize monitoring for potential anomalies. The vulnerability's only known exploit leaks a limited number of bytes from the stack without causing denial-of-service, memory corruption, or
Sources and references
Verified primary and authoritative sources
-
CVE-2026-6432 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-6432
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-6432 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-6432
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/SiliconLabsSoftware/docs-security-advisories/blob/main/Advisories/500-599/A-00000580.md
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.