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CVE-2026-88359 pantoniou CVE debrief

CVE-2026-88359 is a stack exhaustion vulnerability in libfyaml 0.9.6, which can cause a denial of service when processing a specially crafted YAML document. The vulnerability is caused by the fy_atom_iter_format() function repeatedly growing an internal buffer using alloca() inside a loop, leading to cumulative stack growth that can exceed the process stack limit and result in SIGSEGV. Defenders responsible for systems or applications that use libfyaml 0.9.6 should assess exposure and prioritize patching or mitigation to prevent potential denial-of-service attacks. The vulnerability requires verification of affected versions and potential exposure.

Vendor
pantoniou
Product
libfyaml
CVSS
MEDIUM 6.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-24
Original CVE updated
2026-09-25
Advisory published
2026-09-24
Advisory updated
2026-09-25

Who should care

Defenders responsible for systems or applications that use libfyaml 0.9.6 should assess exposure and prioritize patching or mitigation to prevent potential denial-of-service attacks.

Why it matters

CVE-2026-88359 is a stack exhaustion vulnerability in libfyaml 0.9.6 that can cause denial-of-service attacks. Defenders should assess exposure and prioritize patching or mitigation.

  • Denial-of-service attacks may occur if an attacker can provide a specially crafted YAML document to a vulnerable system
  • Defenders should verify if their systems or applications use libfyaml 0.9.6 and prioritize patching or mitigation
  • The vulnerability requires verification of affected versions and potential exposure

Technical summary

The libfyaml library 0.9.6 contains a stack exhaustion vulnerability in the fy_atom_iter_format() function. When processing a specially crafted YAML document containing a very large literal or folded block scalar, the function repeatedly grows an internal buffer using alloca() inside a loop. The allocated stack memory is not released until the function returns, causing cumulative stack growth that can exceed the process stack limit and result in SIGSEGV and denial of service.

Defensive priority

Defenders should prioritize patching or mitigating this vulnerability to prevent potential denial-of-service attacks.

Recommended defensive actions

  • Patch or upgrade libfyaml to a version that fixes the vulnerability
  • Implement input validation and sanitization to prevent processing of malicious YAML documents
  • Monitor for and respond to potential denial-of-service attacks
  • 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 vulnerability is described in the CVE record and NVD vulnerability detail page. The source references include commits and an issue directly referencing the vulnerability in libfyaml 0.9.6. The CVE record was published on 2026-09-24T14:18:18.320Z and has not been modified since then. The NVD detail page provides additional information on the vulnerability, including its CVSS score and severity. Defenders should verify if their systems or applications use libfyaml 0.9.6 and prioritize patching or mitigation. The source references,

Sources and references

Verified primary and authoritative sources

  • CVE-2026-88359 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-88359

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

  • CVE-2026-88359 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-88359

    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.