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VAR-201707-0542

Vulnerability from variot - Updated: 2023-12-18 13:19

PHICOMM K2(PSG1218) devices V22.5.11.5 and earlier allow unauthenticated remote code execution via a request to an unspecified ASP script; alternatively, the attacker can leverage unauthenticated access to this script to trigger a reboot via an ifType=reboot action. PHICOMM K2(PSG1218) The device contains an input validation vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. PHICOMMK2 (PSG1218) is a wireless router product from China's PHICOMM. An input validation vulnerability exists in PHICOMMK2 (PSG1218) version 22.5.11.5 and earlier

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    "data": "input validation",
    "sources": [
      {
        "db": "CNNVD",
        "id": "CNNVD-201711-447"
      }
    ],
    "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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Detection rules are retrieved from Rulezet.

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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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