PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-91826 Samsung Opensource CVE debrief

A stack-based buffer overflow vulnerability exists in Samsung Opensource rLottie, which allows attackers to overflow buffers, leading to memory corruption when rendering crafted vector animations. This issue affects rLottie version 480a2ad0c5d2e45458c545b8213279e9e8b71e39. The vulnerability has a medium CVSS score of 4.4, indicating a moderate level of severity. Defenders should prioritize verifying the affected version of rLottie and assessing exposure to prevent potential memory corruption due to the stack-based buffer overflow vulnerability.

Vendor
Samsung Opensource
Product
rLottie
CVSS
MEDIUM 4.4
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-15
Original CVE updated
2026-09-18
Advisory published
2026-09-15
Advisory updated
2026-09-18

Who should care

Defenders responsible for systems using Samsung Opensource rLottie should assess exposure and prioritize verification of the affected version. This includes operators, platform administrators, vulnerability management teams, and security teams who need to review and update affected systems to prevent potential memory corruption.

Why it matters

Defenders should prioritize verifying the affected version of rLottie and assessing exposure to prevent potential memory corruption due to the stack-based buffer overflow vulnerability.

  • Verify affected version of rLottie to prevent potential memory corruption
  • Assess exposure to crafted vector animations that could be used to exploit the vulnerability
  • Review and update affected systems to prevent potential memory corruption

Technical summary

The CVE record describes a stack-based buffer overflow vulnerability in Samsung Opensource rLottie, which allows attackers to overflow buffers, leading to memory corruption when rendering crafted vector animations. The vulnerability affects rLottie version 480a2ad0c5d2e45458c545b8213279e9e8b71e39. The vulnerability has a medium CVSS score of 4.4, indicating a moderate level of severity. Defenders should prioritize verifying the affected version of rLottie and assessing exposure, as the vulnerability has a medium CVSS score of 4.4.

Defensive priority

Defenders should prioritize verifying the affected version of rLottie and assessing exposure, as the vulnerability has a medium CVSS score of 4.4.

Recommended defensive actions

  • Verify the version of rLottie in use and assess exposure
  • Review and update affected systems to prevent potential memory corruption
  • Monitor for crafted vector animations that could be used to exploit the 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 CVE record and NVD vulnerability detail provide information about the stack-based buffer overflow vulnerability in Samsung Opensource rLottie. However, the corpus does not establish versions, exploitation, impact, or remediation beyond the provided details.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-91826 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-91826

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

  • CVE-2026-91826 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-91826

    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.