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PatchSiren cyber security CVE debrief

CVE-2026-94030 SerenityOS CVE debrief

A security vulnerability has been detected in SerenityOS, specifically in the LibGfx component, which could lead to an integer overflow when decoding BMP pixel data. The vulnerability is rated as low severity with a CVSS score of 1.3 and is considered difficult to exploit. A patch has been provided to fix this issue. The vulnerability was detected in SerenityOS up to a specific commit (3d83e4509fd20d7438e1ae8470ffe668c136229c). A minimal 55-byte PoC was used to reproduce the issue via the standard image-decode fuzz target. However, evidence for an actual exploitable defect is thin. Defenders responsible for SerenityOS systems, especially those using the LibGfx component, should be

Vendor
SerenityOS
Product
LibGfx
CVSS
LOW 1.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-20
Original CVE updated
2026-09-20
Advisory published
2026-09-20
Advisory updated
2026-09-20

Who should care

Defenders responsible for SerenityOS systems, especially those using the LibGfx component, should assess exposure and prioritize patching due to the potential for integer overflow attacks.

Why it matters

CVE-2026-94030 is a low-severity vulnerability in SerenityOS's LibGfx component, requiring verification of exposure and patch application to prevent potential integer overflow attacks.

  • Verification of patch application is necessary to prevent potential integer overflow attacks.
  • Defenders should assess exposure in systems using SerenityOS with the LibGfx component.
  • Remediation priority is low due to the high complexity of exploitation and low CVSS score.

Technical summary

The vulnerability is caused by an integer overflow in the decode_bmp_pixel_data function of the BMPLoader.cpp file in the LibGfx component of SerenityOS. This can be exploited remotely with high complexity. A patch has been provided to fix this issue. The exploitation appears to be difficult. The attack's complexity is rated as high. The identifier of the patch is 007041bb2dd6d140c9e707caddfb0a49ecf96469. This product adopts a rolling release strategy to maintain continuous delivery. Therefore, version details for affected or updated releases cannot be specified.

Defensive priority

Defenders should prioritize patching this vulnerability, especially in systems using SerenityOS, due to the potential for integer overflow attacks.

Recommended defensive actions

  • Apply the provided patch (007041bb2dd6d140c9e707caddfb0a49ecf96469) to fix the integer overflow vulnerability in LibGfx.
  • Review and update SerenityOS systems to ensure the patch is applied.
  • Monitor for potential exploitation attempts targeting this vulnerability.
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance.
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed.
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review.

Evidence notes

The vulnerability was detected in SerenityOS up to a specific commit (3d83e4509fd20d7438e1ae8470ffe668c136229c). A minimal 55-byte PoC was used to reproduce the issue via the standard image-decode fuzz target. However, evidence for an actual exploitable defect is thin.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-94030 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-94030

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

  • CVE-2026-94030 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-94030

    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.