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Fencer Vulns
high 7.3

CVE-2026-96893 json

Improper Neutralization of Input Used for LLM Prompting in GitLab

published 2026-10-13 27 d ago modified 2026-10-16 23 d ago also BIT-gitlab-2026-96893 , EUVD-2026-98213

cvss
7.3
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.6%
EPSS 0.6% chance of exploitation in 30 days, percentile 48%
public exploits
0
none known

Summary

GitLab has remediated an issue in GitLab EE affecting all versions from 19.1 before 19.2.8, 19.3 before 19.3.5, and 19.4 before 19.4.2 that, under certain conditions, could have allowed an authenticated user to inject specially crafted content into AI agent instructions, potentially causing unintended command execution attributed to other users, due to improper neutralization of special elements in AI conversation context construction.

Patch / fix

  • bitnami gitlab 19.2.8, 19.3.5, 19.4.2
  • GitLab GitLab 19.2.8, 19.3.5, 19.4.2

CISA SSVC

Exploitation
none
Automatable
no
Technical impact
total
Assessed
25 d ago

Exploit prediction

0.58% chance of exploitation in the next 30 days, higher than 48% of all scored CVEs (FIRST EPSS, 2026-11-08).

CVSS scores

assigned by version score vector
CNA 3.1 7.3 CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:N
OSV 3.1 7.3 CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:N

Affected packages

ecosystem package affected fixed in
bitnami gitlab
>=19.1.0, <19.2.8
>=19.3.0, <19.3.5
>=19.4.0, <19.4.2
19.2.8
19.3.5
19.4.2

Affected products

  • GitLab GitLab

Classification

Weakness
  • CWE-1427 Improper Neutralization of Input Used for LLM Prompting
  • CWE-74 Improper Neutralization of Special Elements in Output Used by a Downstream Component
Technology feeds

References

Sources

Fencer Vulns 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.