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VAR-201710-0248

Vulnerability from variot - Updated: 2023-12-18 13:14

The ifmap service that comes bundled with Juniper Networks Contrail releases uses hard coded credentials. Affected releases are Contrail releases 2.2 prior to 2.21.4; 3.0 prior to 3.0.3.4; 3.1 prior to 3.1.4.0; 3.2 prior to 3.2.5.0. CVE-2017-10616 and CVE-2017-10617 can be chained together and have a combined CVSSv3 score of 5.8 (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N). This vulnerability CVE-2017-10617 And related issues.Information may be obtained and information may be altered. The solution provides intelligent automation, application security and reliability for cloud and NFV. A remote attacker could exploit this vulnerability to retrieve sensitive system files. The following versions are affected: Juniper Contrail version 2.2, version 3.0, version 3.1, version 3.2

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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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