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.
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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
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Source reference
Unverified legacy reference
URL: https://github.com/Samsung/rlottie/pull/607
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.