CVE-2015-5652 (GCVE-0-2015-5652)

Vulnerability from cvelistv5 – Published: 2015-10-05 10:00 – Updated: 2024-08-06 06:59
VLAI
Summary
Untrusted search path vulnerability in python.exe in Python through 3.5.0 on Windows allows local users to gain privileges via a Trojan horse readline.pyd file in the current working directory. NOTE: the vendor says "It was determined that this is a longtime behavior of Python that cannot really be altered at this point."
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
URL Tags
http://jvndb.jvn.jp/jvndb/JVNDB-2015-000141 third-party-advisoryx_refsource_JVNDB
http://www.securityfocus.com/bid/76929 vdb-entryx_refsource_BID
https://h20566.www2.hpe.com/portal/site/hpsc/publ… x_refsource_CONFIRM
http://jvn.jp/en/jp/JVN49503705/995204/index.html x_refsource_MISC
http://jvn.jp/en/jp/JVN49503705/index.html third-party-advisoryx_refsource_JVN
Date Public
2015-10-01 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.



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.