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VAR-201605-0353

Vulnerability from variot - Updated: 2023-12-18 13:09

Sixnet BT-5xxx and BT-6xxx M2M devices before 3.8.21 and 3.9.x before 3.9.8 have hardcoded credentials, which allows remote attackers to obtain access via unspecified vectors. RedLionSixnetBT-5xxx is a BT series router that provides wireless connectivity for RedLion. Prior to SixnetBT-5xxxBT-6xxxM2Mdevices 3.8.2, there was a privilege escalation vulnerability in version 3.9.x prior to 3.9.8. The following products are affected: Sixnet BT-5xxx versions prior to 3.8.21. Red Lion Sixnet BT-5xxx and BT-6xxx M2M are both BT series routers of Red Lion Company in the United States that provide wireless connection functions. A security vulnerability exists in Red Lion Sixnet BT-5xxx and BT-6xxx M2M versions prior to 3.8.21 and 3.9.x prior to 3.9.8 due to the use of hard-coded certificates

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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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