VAR-201902-0043

Vulnerability from variot - Updated: 2023-12-18 13:56

On Netis WF2411 with firmware 2.1.36123 and other Netis WF2xxx devices (possibly WF2411 through WF2880), there is a stack-based buffer overflow that does not require authentication. This can cause denial of service (device restart) or remote code execution. This vulnerability can be triggered by a GET request with a long HTTP "Authorization: Basic" header that is mishandled by user_auth->user_ok in /bin/boa. Netis WF2411 Firmware and multiple Netis WF Product devices contain a buffer error vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state

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    },
    "data": "access control error",
    "sources": [
      {
        "db": "CNNVD",
        "id": "CNNVD-201902-821"
      }
    ],
    "trust": 0.6
  }
}



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Tags
Taxonomy of the tags.


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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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