VAR-201804-1653

Vulnerability from variot - Updated: 2024-11-23 23:12

The private key of the web server in Moxa MXview versions 2.8 and prior is able to be read and accessed via an HTTP GET request, which may allow a remote attacker to decrypt encrypted information. Moxa MXview Contains a cryptographic vulnerability.Information may be obtained. Moxa MXview is a network management software for monitoring and diagnosing industrial networks. An information disclosure vulnerability exists in Moxa Mxview 2.8 and earlier. The vulnerability could be exploited by a remote attacker to decrypt encrypted information. Moxa MXview is prone to an information-disclosure vulnerability. Attackers can exploit this issue to obtain sensitive information that may aid in further attacks. Moxa MXview versions 2.8 and prior are 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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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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