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CVE-2026-95619 Red Hat CVE debrief

CVE-2026-95619 is a high-severity vulnerability in libstdc++ that can lead to memory corruption or application instability due to an integer overflow in the aligned operator new. Defenders should assess exposure, prioritize remediation, and verify affected systems. The vulnerability has a CVSS score of 7.7 and is classified as HIGH severity. Affected systems and components should be identified, and defenders should review vendor guidance for remediation steps. The CVE record and NVD entry provide details on the vulnerability.

Vendor
Red Hat
Product
Red Hat Enterprise Linux 8
CVSS
HIGH 7.7
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-22
Original CVE updated
2026-10-30
Advisory published
2026-09-22
Advisory updated
2026-10-30

Who should care

Defenders responsible for systems using libstdc++ should assess exposure and prioritize remediation to prevent potential memory corruption or application instability. This includes operators, platform administrators, vulnerability management teams, and security teams. They should review vendor guidance for remediation steps and verify affected systems.

Why it matters

CVE-2026-95619 is a high-severity vulnerability in libstdc++ that can lead to memory corruption or application instability due to an integer overflow in the aligned operator new. Defenders should assess exposure, prioritize remediation, and verify affected systems.

  • Verify affected systems and assess exposure to prioritize remediation
  • Prevent potential memory corruption or application instability
  • Ensure proper memory allocation to prevent undersized allocations

Technical summary

The CVE-2026-95619 vulnerability is caused by an integer overflow in the aligned operator new in libstdc++. This can lead to an undersized memory allocation, potentially causing memory corruption or application instability. The vulnerability has a CVSS score of 7.7 and is classified as HIGH severity. Defenders should prioritize verifying affected systems, assessing exposure, and applying remediation to prevent potential memory corruption or application instability. The aligned operator new in libstdc++ is vulnerable to integer overflow.

Defensive priority

Defenders should prioritize verifying affected systems, assessing exposure, and applying remediation to prevent potential memory corruption or application instability.

Recommended defensive actions

  • Verify if systems using libstdc++ are exposed to this vulnerability
  • Assess the risk of memory corruption or application instability
  • Prioritize remediation based on system criticality and exposure
  • Apply patches or updates from the vendor once available
  • 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

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, but additional information on affected versions, exploitation, and remediation is limited. Defenders should verify affected systems, assess exposure, and prioritize remediation based on system criticality and exposure. The aligned operator new in libstdc++ is vulnerable to integer overflow, which can lead to undersized memory allocation and potential memory corruption or application instability.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-95619 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-95619

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

  • CVE-2026-95619 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-95619

    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.