CVE-2018-6515 (GCVE-0-2018-6515)

Vulnerability from cvelistv5 – Published: 2018-06-11 20:00 – Updated: 2024-09-16 23:10
VLAI
Summary
Puppet Agent 1.10.x prior to 1.10.13, Puppet Agent 5.3.x prior to 5.3.7, and Puppet Agent 5.5.x prior to 5.5.2 on Windows only, with a specially crafted configuration file an attacker could get pxp-agent to load arbitrary code with privilege escalation.
Severity
7.8 (High)
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
  • Arbitrary Code Execution
Assigner
References
URL Tags
https://puppet.com/security/cve/CVE-2018-6515 x_refsource_CONFIRM
Impacted products
Vendor Product Version CPE status
Puppet Puppet Agent Affected: Puppet Agent 1.10.x prior to 1.10.13, Puppet Agent 5.3.x prior to 5.3.7, Puppet Agent 5.5.x prior to 5.5.2
guessed Create a notification for this product.
Date Public
2018-06-11 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

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.


Detection rules are retrieved from Rulezet.


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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.