VAR-201407-0012

Vulnerability from variot - Updated: 2025-04-13 23:21

Dahua DVR 2.608.0000.0 and 2.608.GV00.0 allows remote attackers to bypass authentication and obtain sensitive information including user credentials, change user passwords, clear log files, and perform other actions via a request to TCP port 37777. Dahua Security DVR Appliances is a digital video device developed by Dahua Technologies. Dahua Security DVR Appliances utilize thin clients such as PSS, mobile client interfaces such as iDMSS and the ActiveX control \"webrec.cab\" for access. These clients communicate with the management service (TCP 37777). An attacker can exploit this issue to bypass the authentication mechanism and perform unauthorized actions. This may aid in further attacks. Dahua DVR is a hard disk video recorder product of Dahua Company in China

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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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.