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CVE-2026-88367 memononen CVE debrief

CVE-2026-88367 is a denial-of-service vulnerability in NanoSVG, caused by incorrect numeric conversion during SVG stroke rasterization. A specially crafted SVG document with an extremely large stroke-width can lead to undefined behavior and process termination. The vulnerability is triggered when a large stroke-width causes floating-point rounding to produce a zero subdivision angle, resulting in infinity being converted to int without range validation. This issue affects NanoSVG library usage, SVG document processing, and related systems, requiring defenders to assess exposure and prioritize verification and updates.

Vendor
memononen
Product
NanoSVG
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 NanoSVG library usage, SVG document processing, and related systems should assess exposure and prioritize verification and updates to prevent potential attacks. This includes reviewing the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance, and planning vendor-supported updates or mitigations through normal change control where exposure is confirmed.

Why it matters

CVE-2026-88367 is a denial-of-service vulnerability in NanoSVG that can be triggered by specially crafted SVG documents. Defenders should prioritize verifying and updating NanoSVG to prevent potential attacks.

  • Potential denial-of-service attacks through specially crafted SVG documents
  • Verification priority for NanoSVG library usage and updates

Technical summary

The vulnerability is caused by incorrect numeric conversion in the nsvg__curveDivs() function during SVG stroke rasterization. A specially crafted SVG document containing an extremely large stroke-width can cause floating-point rounding to produce a zero subdivision angle, leading to undefined behavior and process termination. This issue results from the conversion of infinity to int without range validation, highlighting the need for defenders to prioritize verifying and updating NanoSVG to prevent potential denial-of-service attacks.

Defensive priority

Defenders should prioritize verifying and updating NanoSVG to prevent potential denial-of-service attacks.

Recommended defensive actions

  • Verify NanoSVG version and update to a fixed version if available
  • Review and restrict SVG document inputs to prevent specially crafted documents
  • Monitor NanoSVG library usage and implement compensating controls if necessary
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • 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 vulnerability was discussed in GitHub issue #293 and is tracked in the CVE Program record and NIST NVD. The CVE record was published on 2026-09-24T17:17:06.973Z and has not been modified since then. The source-provided CVE metadata and NIST NVD detail page provide additional context for defenders to verify and update NanoSVG. Defenders should review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-88367 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-88367

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

  • CVE-2026-88367 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-88367

    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.