VAR-201702-0960

Vulnerability from variot - Updated: 2023-12-18 13:03

Multiple cross-site request forgery (CSRF) vulnerabilities in the access portal on the DIGISOL DG-HR1400 Wireless Router with firmware 1.00.02 allow remote attackers to hijack the authentication of administrators for requests that (1) change the SSID, (2) change the Wi-Fi password, or (3) possibly have unspecified other impact via crafted requests to form2WlanBasicSetup.cgi. The DigiSolDG-HR1400 WirelessRouter is a wireless broadband home router. A cross-site request forgery vulnerability exists in the accessportal of DigiSolDG-HR1400 WirelessRouter. Allows remote attackers to build malicious URIs, entice users to resolve, and perform malicious actions in the target user context. DIGISOL DG-HR1400 is prone to multiple cross-site request-forgery vulnerabilities. This may lead to further attacks. DG-HR1400 1.00.02 is vulnerable; other versions may also be affected

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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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