PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-33818 Go standard library CVE debrief

AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-08-13T22:17:19.840Z and has not been modified since then. The NVD entry is currently Awaiting Analysis. This high-severity vulnerability in Go, tracked as CVE-2026-33818, allows potential stack exhaustion attacks via deeply-nested recursive structures. A recursion limit is recommended to be enforced in Unmarshal to prevent such attacks. Organizations using Go applications or services, especially those handling sensitive data or high-traffic systems, should review and apply patches or compensating controls. The CVE has a high CVSS score of 7.5, indicating a high level of severity. Evidence is limited; primarily based on official CVE and NVD records. Further review of vendor advisories and patch notes is recommended. Defensive measures such as input validation and rate limiting may be necessary until patches are applied.

Vendor
Go standard library
Product
encoding/asn1
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-13
Original CVE updated
2026-09-03
Advisory published
2026-08-13
Advisory updated
2026-09-03

Who should care

Organizations using Go applications or services, especially those handling sensitive data or high-traffic systems, should review and apply patches or compensating controls. This includes organizations with potential exposure to stack exhaustion attacks via deeply-nested recursive structures. Security teams and vulnerability management teams should prioritize this vulnerability due to its high severity and potential impact.

Technical summary

CVE-2026-33818 is a high-severity vulnerability in Go, allowing for potential stack exhaustion attacks via deeply-nested recursive structures. A recursion limit is recommended to be enforced in Unmarshal to prevent such attacks. This vulnerability has a high CVSS score of 7.5, indicating a high level of severity. Organizations using Go applications or services, especially those handling sensitive data or high-traffic systems, should review and apply patches or compensating controls.

Defensive priority

High-priority defensive review recommended due to high CVSS score of 7.5 and potential for stack exhaustion attacks.

Recommended defensive actions

  • Review and apply vendor patches or updates for affected systems
  • Implement compensating controls such as input validation and rate limiting
  • Monitor for suspicious activity and exception tracking
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review

Evidence notes

Evidence is limited; primarily based on official CVE and NVD records. Further review of vendor advisories and patch notes is recommended. Organizations should verify their exposure and review vendor guidance for affected Go applications or services. Defensive measures such as input validation and rate limiting may be necessary until patches are applied. The CVE record was published on 2026-08-13T22:17:19.840Z and has not been modified since then.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-33818 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-33818

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

  • CVE-2026-33818 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-33818

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

Supplemental references

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.