VAR-201906-0830

Vulnerability from variot - Updated: 2023-12-18 12:00

An issue was discovered on Vera VeraEdge 1.7.19 and Veralite 1.7.481 devices. The device provides a script file called "get_file.sh" which allows a user to retrieve any file stored in the "cmh-ext" folder on the device. However, the "filename" parameter is not validated correctly and this allows an attacker to directory traverse outside the /cmh-ext folder and read any file on the device. It is necessary to create the folder "cmh-ext" on the device which can be executed by an attacker first in an unauthenticated fashion and then execute a directory traversal attack. Vera VeraEdge and Veralite The device contains a path traversal vulnerability.Information may be obtained. A security vulnerability exists in Vera VeraEdge version 1.7.19 and Veralite version 1.7.481 due to the program not validating the 'filename' parameter properly

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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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