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CVE-2025-31363 (GCVE-0-2025-31363)

Vulnerability from cvelistv5 – Published: 2025-04-16 09:14 – Updated: 2025-04-16 14:33
VLAI
Title
Data exfiltration via AI plugin Jira tool
Summary
Mattermost versions 10.4.x <= 10.4.2, 10.5.x <= 10.5.0, 9.11.x <= 9.11.9 fail to restrict domains the LLM can request to contact upstream which allows an authenticated user to exfiltrate data from an arbitrary server accessible to the victim via performing a prompt injection in the AI plugin's Jira tool.
Severity
3 (Low)
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:L/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-16 14:19 UTC
CWE
  • CWE-1426 - Improper Validation of Generative AI Output
Assigner
References
Impacted products
Vendor Product Version CPE status
Mattermost Mattermost Affected: 10.4.0 , ≤ 10.4.2 (semver)
Affected: 10.5.0
Affected: 9.11.0 , ≤ 9.11.9 (semver)
Unaffected: 10.6.0
Unaffected: 10.4.3
Unaffected: 10.5.1
Unaffected: 9.11.10
guessed Create a notification for this product.
Credits
Juho Forsén
Show details on NVD website
To clipboard 

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.


Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.