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CVE-2016-0761 (GCVE-0-2016-0761)

Vulnerability from cvelistv5 – Published: 2017-05-25 17:00 – Updated: 2024-08-05 22:30
VLAI
Summary
Cloud Foundry Garden-Linux versions prior to v0.333.0 and Elastic Runtime 1.6.x version prior to 1.6.17 contain a flaw in managing container files during Docker image preparation that could be used to delete, corrupt or overwrite host files and directories, including other container filesystems on the host.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE
  • File corruption
Assigner
References
URL Tags
https://pivotal.io/security/cve-2016-0761 x_refsource_CONFIRM
Impacted products
Vendor Product Version CPE status
Pivotal Cloud Foundry Affected: Garden-Linux versions prior to v0.333.0
Affected: Elastic Runtime 1.6.x version prior to 1.6.17.
guessed Create a notification for this product.
Date Public
2016-02-26 00:00
Show details on NVD website
To clipboard 

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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

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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.


Detection rules are retrieved from Rulezet.


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.