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PatchSiren cyber security CVE debrief

CVE-2026-65349 Apple CVE debrief

An out-of-bounds read issue was addressed with improved input validation in iOS, iPadOS, macOS, tvOS, visionOS, and watchOS. This issue is fixed in iOS 26.6.1 and iPadOS 26.6.1, macOS Sequoia 15.8, macOS Tahoe 26.6.2, tvOS 27, visionOS 27, watchOS 27. An app may be able to cause unexpected system termination or read kernel memory. The issue is caused by improper validation of input data, which can lead to out-of-bounds reads. This can result in unexpected system termination or the potential exposure of kernel memory.

Vendor
Apple
Product
iOS and iPadOS
CVSS
MEDIUM 6.6
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-17
Original CVE updated
2026-09-14
Advisory published
2026-08-17
Advisory updated
2026-09-14

Who should care

Defenders responsible for Apple device security, particularly those managing iOS, iPadOS, macOS, tvOS, visionOS, and watchOS deployments, should assess exposure and apply patches. They should also restrict app installation to trusted sources and monitor system logs for unexpected termination or kernel memory access attempts.

Why it matters

CVE-2026-65349 is a medium-severity vulnerability in Apple devices that could lead to unexpected system termination or kernel memory access. Defenders should prioritize patching and monitoring.

  • Potential unexpected system termination or kernel memory access
  • Need to verify and apply patches to prevent exploitation
  • Importance of restricting app installation to trusted sources
  • Monitoring system logs for suspicious activity

Technical summary

The CVE record describes an out-of-bounds read issue in Apple devices, addressed with improved input validation. Fixes are available in iOS 26.6.1 and iPadOS 26.6.1, macOS Sequoia 15.8, macOS Tahoe 26.6.2, tvOS 27, visionOS 27, watchOS 27. The issue is caused by improper validation of input data, which can lead to out-of-bounds reads. This can result in unexpected system termination or the potential exposure of kernel memory. There is no indication of active exploitation in the wild, but defenders should verify and apply patches for affected Apple devices.

Defensive priority

Defenders should prioritize verifying and applying patches for affected Apple devices, particularly those exposed to untrusted apps.

Recommended defensive actions

  • Verify and apply patches for affected Apple devices
  • Restrict app installation to trusted sources
  • Monitor system logs for unexpected termination or kernel memory access attempts
  • 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 detail page provide information on the out-of-bounds read issue and its fixes in various Apple operating systems. The issue is caused by improper validation of input data, which can lead to out-of-bounds reads. This can result in unexpected system termination or the potential exposure of kernel memory. There is no indication of active exploitation in the wild, but defenders should verify and apply patches for affected Apple devices.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-65349 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-65349

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

  • CVE-2026-65349 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-65349

    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.