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CVE-2026-15588 Red Hat CVE debrief

A denial-of-service and resource exhaustion vulnerability exists within the `GDBus` component of GLib. The `gdbusauth` authentication mechanism fails to enforce proper length limitations on data lines read from a client. An unauthenticated local or remote attacker can exploit this lack of input validation by sending excessively long streams of data, causing the application to consume massive amounts of system memory and CPU, potentially leading to a crash or system hang.

Vendor
Red Hat
Product
Red Hat Hardened Images
CVSS
MEDIUM 5.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-07-20
Original CVE updated
2026-10-14
Advisory published
2026-07-20
Advisory updated
2026-10-14

Who should care

Defenders responsible for systems using GLib, particularly those with untrusted or unauthenticated clients, should assess exposure and prioritize patching or mitigation. This includes operators managing GLib deployments, platform administrators, vulnerability management teams, and security teams responsible for ensuring the security and integrity of system resources.

Why it matters

CVE-2026-15588 is a denial-of-service and resource exhaustion vulnerability in GLib's GDBus component. Defenders should prioritize verifying the presence of this vulnerability, applying patches, and implementing input validation to prevent exploitation.

  • Potential system crashes or hangs due to excessive resource consumption.
  • Increased risk of denial-of-service attacks against systems using vulnerable GLib versions.
  • Need for input validation and length limitations on data lines read from clients.
  • Verification of GLib versions and patch levels across the environment.

Technical summary

The `gdbusauth` authentication mechanism in GLib's GDBus component fails to enforce proper length limitations on data lines read from a client. An unauthenticated local or remote attacker can exploit this by sending excessively long streams of data, causing the application to consume massive amounts of system memory and CPU, potentially leading to a crash or system hang. This vulnerability affects systems using GLib, particularly those with untrusted or unauthenticated clients, and requires defenders to assess exposure and prioritize patching or mitigation.

Defensive priority

Defenders should prioritize verifying the presence of this vulnerability in GLib and applying patches or mitigations to prevent exploitation.

Recommended defensive actions

  • Verify the presence of GLib in your environment and check for patches or updates.
  • Implement input validation and length limitations for data lines read from clients.
  • Monitor system memory and CPU usage for unusual patterns.
  • Consider applying compensating controls to mitigate the impact of potential exploitation.
  • Review and prioritize patching or mitigation for systems using GLib with untrusted or unauthenticated clients.
  • Perform vulnerability scanning to identify potentially affected systems.
  • Engage with vendors for support and guidance on addressing the vulnerability.

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, but the scope of affected systems and versions is not explicitly stated. Red Hat has provided multiple errata related to this vulnerability.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-15588 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-15588

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

  • CVE-2026-15588 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-15588

    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.