CVE-2019-17653 (GCVE-0-2019-17653)

Vulnerability from cvelistv5 – Published: 2020-03-12 22:07 – Updated: 2024-10-25 14:26
VLAI
Summary
A Cross-Site Request Forgery (CSRF) vulnerability in the user interface of Fortinet FortiSIEM 5.2.5 could allow a remote, unauthenticated attacker to perform arbitrary actions using an authenticated user's session by persuading the victim to follow a malicious link.
Severity
No CVSS data available.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-24 20:03 UTC
CWE
  • Execute unauthorized code or commands
References
URL Tags
https://fortiguard.com/psirt/FG-IR-19-240 x_refsource_CONFIRM
Impacted products
Vendor Product Version CPE status
Fortinet Fortinet FortiSIEM Affected: 5.2.5
guessed Create a notification for this product.
Show details on NVD website

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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.

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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.


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