VAR-201409-0052

Vulnerability from variot - Updated: 2025-04-12 23:15

Cross-site request forgery (CSRF) vulnerability in cgi-bin/system_setting.exe in Belkin F5D8236-4 v2 allows remote attackers to hijack the authentication of administrators for requests that open the remote management interface on arbitrary ports via the remote_mgmt_enabled and remote_mgmt_port parameters. The Belkin F5D8236-4 N is a wireless router device. Such as changing the administrator password, enabling the management interface, etc. Belkin F5D8236-4 Router is prone to a cross-site request-forgery vulnerability. Attackers can exploit this issue to perform certain administrative actions and gain unauthorized access to the affected device. Belkin F5D8236-4 is a wireless router product of Belkin Company in the United States. There is a cross-site request forgery vulnerability in the cgi-bin/system_setting.exe file of Belkin F5D8236-4 v2 version

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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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