CVE-2026-41505: CWE-338: Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in inducer relate
RELATE is a web-based courseware package. Prior to commit 2f68e16, RELATE is vulnerable to predictable token generation in auth.py's make_sign_in_key() function and exam.py's gen_ticket_code() function. This issue has been patched via commit 2f68e16.
AI Analysis
Technical Summary
RELATE versions prior to commit 2f68e16 use a cryptographically weak PRNG in auth.py's make_sign_in_key() and exam.py's gen_ticket_code(), leading to predictable token generation. This flaw is classified under CWE-338 (Use of Cryptographically Weak PRNG) and CWE-330 (Use of Insufficiently Random Values). The vulnerability allows attackers to predict tokens used for authentication or exam ticketing, potentially compromising system integrity and availability. The issue was addressed by a patch in commit 2f68e16, which replaced the weak PRNG with a secure alternative.
Potential Impact
The vulnerability enables attackers to predict authentication and exam ticket tokens, which can lead to unauthorized access or disruption of services. The CVSS score of 8.7 reflects a high impact on integrity and availability, although confidentiality is not affected. There are no known exploits in the wild at this time.
Mitigation Recommendations
A patch addressing this vulnerability is available in commit 2f68e16 of the RELATE project. Users should upgrade to this version or later to remediate the issue. Since this is not a cloud service, remediation depends on applying the patch to affected deployments. Patch status is not explicitly stated beyond the commit reference; users should verify the patch application in their environment.
CVE-2026-41505: CWE-338: Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in inducer relate
Description
RELATE is a web-based courseware package. Prior to commit 2f68e16, RELATE is vulnerable to predictable token generation in auth.py's make_sign_in_key() function and exam.py's gen_ticket_code() function. This issue has been patched via commit 2f68e16.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
RELATE versions prior to commit 2f68e16 use a cryptographically weak PRNG in auth.py's make_sign_in_key() and exam.py's gen_ticket_code(), leading to predictable token generation. This flaw is classified under CWE-338 (Use of Cryptographically Weak PRNG) and CWE-330 (Use of Insufficiently Random Values). The vulnerability allows attackers to predict tokens used for authentication or exam ticketing, potentially compromising system integrity and availability. The issue was addressed by a patch in commit 2f68e16, which replaced the weak PRNG with a secure alternative.
Potential Impact
The vulnerability enables attackers to predict authentication and exam ticket tokens, which can lead to unauthorized access or disruption of services. The CVSS score of 8.7 reflects a high impact on integrity and availability, although confidentiality is not affected. There are no known exploits in the wild at this time.
Mitigation Recommendations
A patch addressing this vulnerability is available in commit 2f68e16 of the RELATE project. Users should upgrade to this version or later to remediate the issue. Since this is not a cloud service, remediation depends on applying the patch to affected deployments. Patch status is not explicitly stated beyond the commit reference; users should verify the patch application in their environment.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-04-20T18:18:50.681Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69fca37ecbff5d8610fd5795
Added to database: 5/7/2026, 2:36:46 PM
Last enriched: 5/7/2026, 2:51:43 PM
Last updated: 5/8/2026, 9:42:53 PM
Views: 9
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