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CVE-2026-0716 Red Hat CVE debrief

A flaw in libsoup's WebSocket frame processing can cause memory exposure or a crash when handling incoming messages with a non-default configuration. Applications using libsoup's WebSocket support with this configuration may be impacted. The issue arises from the library's handling of WebSocket frames, where an unset maximum incoming payload size can lead to reading memory outside intended bounds. This can result in unintended memory exposure or a crash. Defenders should assess the configuration of libsoup's WebSocket support and prioritize verification to ensure the maximum incoming payload size is properly set.

Vendor
Red Hat
Product
Red Hat Enterprise Linux 10
CVSS
MEDIUM 4.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-01-13
Original CVE updated
2026-09-16
Advisory published
2026-01-13
Advisory updated
2026-09-16

Who should care

Defenders responsible for configuring and maintaining libsoup's WebSocket support should assess exposure and prioritize verification of the configuration. This includes ensuring that the maximum incoming payload size is properly set to prevent potential security incidents. Additionally, defenders should review the CVE record and NVD entry for further details on the vulnerability and its implications.

Why it matters

A flaw in libsoup's WebSocket frame processing can cause memory exposure or a crash when handling incoming messages with a non-default configuration. Defenders should prioritize verifying the configuration of libsoup's WebSocket support and ensuring that the maximum incoming payload size is properly set.

  • Potential memory exposure or crash
  • Verification of libsoup configuration required
  • Monitoring for potential security incidents

Technical summary

A flaw was found in libsoup's WebSocket frame processing when handling incoming messages. If a non-default configuration is used where the maximum incoming payload size is unset, the library may read memory outside the intended bounds. This can cause unintended memory exposure or a crash. The vulnerability is rooted in the WebSocket frame processing mechanism, which can lead to security issues if not properly configured. Defenders should be aware of the potential impacts and take steps to verify and secure the configuration.

Defensive priority

Defenders should prioritize verifying the configuration of libsoup's WebSocket support and ensuring that the maximum incoming payload size is properly set.

Recommended defensive actions

  • Verify the configuration of libsoup's WebSocket support
  • Ensure that the maximum incoming payload size is properly set
  • Monitor for potential crashes or memory exposure
  • 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 flaw in libsoup's WebSocket frame processing. The vendor, Red Hat, has provided references to their security advisory and bugzilla entry. The issue is further detailed in the context of WebSocket frame handling, emphasizing the need for proper configuration. Evidence from the CVE record and NVD entry supports the assessment of the vulnerability's impact and the necessity for defenders to verify the configuration of libsoup's WebSocket support.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-0716 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-0716

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

  • CVE-2026-0716 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-0716

    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.