CVE-2024-46671 (GCVE-0-2024-46671)

Vulnerability from cvelistv5 – Published: 2025-04-08 14:02 – Updated: 2025-04-08 14:30
VLAI
Summary
An Incorrect User Management vulnerability [CWE-286] in FortiWeb version 7.6.2 and below, version 7.4.6 and below, version 7.2.10 and below, version 7.0.11 and below widgets dashboard may allow an authenticated attacker with at least read-only admin permission to perform operations on the dashboard of other administrators via crafted requests.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-08 14:28 UTC
CWE
  • CWE-286 - Execute unauthorized code or commands
References
Impacted products
Vendor Product Version CPE status
Fortinet FortiWeb Affected: 7.6.0 , ≤ 7.6.2 (semver)
Affected: 7.4.0 , ≤ 7.4.6 (semver)
Affected: 7.2.0 , ≤ 7.2.10 (semver)
Affected: 7.0.0 , ≤ 7.0.11 (semver)
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

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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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