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Fencer Intel
high 8.7

CVE-2026-41505 json

RELATE: Predictable Token Generation in auth.py and exam.py

published 6mo ago modified 15d ago also EUVD-2026-28379

cvss
8.7
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.3%
EPSS 0.3% chance of exploitation in 30 days, percentile 18%
public exploits
0
none known

Summary

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.

Patch / fix

Is CVE-2026-41505 in your stack? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.

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CISA SSVC

Exploitation
none
Automatable
no
Technical impact
partial
Assessed
6mo ago

Exploit prediction

0.26% chance of exploitation in the next 30 days, higher than 18% of all scored CVEs (FIRST EPSS, 2026-11-09).

CVSS scores

assigned by version score vector
CNA 3.1 8.7 CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/A:H

Affected products

  • inducer relate

Classification

Weakness
  • CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
  • CWE-330 Use of Insufficiently Random Values

References

Sources

Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.