PatchSiren cyber security CVE debrief
CVE-2026-13082 BURAK CVE debrief
CVE-2026-13082 is a vulnerability in GD::SecurityImage versions up to 1.75 for Perl. The module uses the rand function to generate secrets, which is unsuitable for security applications due to its predictability and reversibility. This vulnerability affects developers and administrators using GD::SecurityImage 1.75 for Perl in security-related applications. The vulnerability has a medium defensive priority, and defenders should review and update GD::SecurityImage to a version that uses a cryptographically secure pseudo-random number generator.
- Vendor
- BURAK
- Product
- GD::SecurityImage
- CVSS
- MEDIUM 5.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-07-17
- Original CVE updated
- 2026-07-17
- Advisory published
- 2026-07-17
- Advisory updated
- 2026-07-17
Who should care
Developers and administrators using GD::SecurityImage 1.75 for Perl in security-related applications should be aware of this vulnerability. They should review and update GD::SecurityImage to a version that uses a cryptographically secure pseudo-random number generator and implement additional security measures to mitigate the vulnerability.
Technical summary
The GD::SecurityImage module generates challenge text for CAPTCHA by sampling characters from an array using Perl's built-in rand function, creating a six-character string by default. However, the rand function is predictable and reversible, making it unsuitable for security applications. To mitigate the vulnerability, defenders should implement additional security measures, such as using a secure random number generator. The vulnerability has a medium defensive priority, and defenders should review and update GD::SecurityImage to a version that uses a cryptographically secure pseudo-random number generator.
Defensive priority
Medium
Recommended defensive actions
- Review and update GD::SecurityImage to a version that uses a cryptographically secure pseudo-random number generator.
- Implement additional security measures, such as using a secure random number generator, to mitigate the vulnerability.
- Monitor for potential attacks exploiting 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 CVE record was published on 2026-07-17T13:17:55.443Z and has not been modified since then. The NVD entry is currently Deferred. There is limited information available about the vulnerability, and defenders should verify the affected scope and severity with the vendor. The rand function used in GD::SecurityImage is predictable and reversible, making it unsuitable for security applications. To verify the vulnerability, defenders should review the official advisory and CVE record.
Sources and references
Verified primary and authoritative sources
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CVE-2026-13082 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-13082
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-13082 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-13082
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://security.metacpan.org/patches/G/GD-SecurityImage/1.75/CVE-2026-13082-r1.patch
9b29abf9-4ab0-4765-b253-1875cd9b441e
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Source reference
Unverified legacy reference
URL: https://www.cve.org/CVERecord?id=CVE-2025-40916
9b29abf9-4ab0-4765-b253-1875cd9b441e
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.