VAR-201805-0696

Vulnerability from variot - Updated: 2024-11-23 22:30

KONGTOP DVR devices A303, A403, D303, D305, and D403 contain a backdoor that prints the login password via a Print_Password function call in certain circumstances. KONGTOP DVR The device contains an information disclosure vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. KONGTOP DVR A303 and so on are all different types of network DVR equipment from China's KONGTOP Industrial Company.

A security vulnerability exists in several KONGTOP DVR products due to a backdoor in the Telnetd file. An attacker could exploit the vulnerability with a call to the 'Print_Password' function to obtain information. The following products are affected: KONGTOP DVR A303; KONGTOP DVR A403; KONGTOP DVR D303; KONGTOP DVR D305; KONGTOP DVR D403

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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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