PatchSiren cyber security CVE debrief
CVE-2024-14031 YVES CVE debrief
The Sereal::Encoder Perl module, versions from 4.000 through 4.009_002, embeds a vulnerable version of the Zstandard (zstd) library. This library is susceptible to a race condition issue, identified as CVE-2019-11922, which could allow an attacker to write bytes out of bounds if an output buffer smaller than the recommended size was used. The vulnerability has a high impact on the security of applications utilizing this module, particularly in scenarios where data encoding is a critical function. Users are advised to assess their exposure and take appropriate mitigation steps.
- Vendor
- YVES
- Product
- Sereal::Encoder
- CVSS
- HIGH 8.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-03-31
- Original CVE updated
- 2026-07-25
- Advisory published
- 2026-03-31
- Advisory updated
- 2026-07-25
Who should care
Users of the Sereal::Encoder Perl module, particularly those using versions between 4.000 and 4.009_002, should be aware of this vulnerability. This issue may affect applications that utilize this module for encoding data, potentially leading to security risks if not addressed.
Technical summary
The Sereal::Encoder module for Perl incorporates a version of the Zstandard (zstd) library that is vulnerable to CVE-2019-11922. This vulnerability involves a race condition in the one-pass compression functions of Zstandard prior to version 1.3.8. An attacker could exploit this by using an output buffer smaller than the recommended size, potentially allowing them to write bytes out of bounds. This issue can lead to security risks if not addressed, emphasizing the need for users to update to a patched version of the module or implement compensating controls.
Defensive priority
High priority should be given to updating the Sereal::Encoder module to a version that includes a patched zstd library or to applying compensating controls to mitigate the risk of this vulnerability.
Recommended defensive actions
- Update Sereal::Encoder to version 4.010 or later, which presumably includes a patched version of the zstd library.
- Review and update any applications or systems that utilize Sereal::Encoder to ensure they are not exposed to this vulnerability.
- Consider implementing compensating controls, such as monitoring for suspicious activity related to the Sereal::Encoder module.
- Perform a thorough review of the system architecture to identify potential exposure to this vulnerability.
- Conduct a code review of applications using Sereal::Encoder to ensure secure usage.
- Implement additional monitoring to detect potential exploitation attempts.
- Schedule regular security audits to ensure the vulnerability is not exploited.
Evidence notes
The CVE record for CVE-2024-14031 indicates that Sereal::Encoder versions from 4.000 through 4.009_002 are vulnerable due to the embedded zstd library. The vulnerability details are based on the information provided in the CVE record and related references.
Sources and references
Verified primary and authoritative sources
-
CVE-2024-14031 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2024-14031
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2024-14031 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2024-14031
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/advisories/GHSA-w77f-wv46-4vcx
9b29abf9-4ab0-4765-b253-1875cd9b441e - Not Applicable
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Mitigation or vendor reference
Unverified legacy reference
URL: https://metacpan.org/release/YVES/Sereal-Encoder-4.010/changes
9b29abf9-4ab0-4765-b253-1875cd9b441e - Release Notes
-
Source reference
Unverified legacy reference
URL: https://www.cve.org/CVERecord?id=CVE-2019-11922
9b29abf9-4ab0-4765-b253-1875cd9b441e - Not Applicable
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.