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CVE-2010-2480 (GCVE-0-2010-2480)

Vulnerability from cvelistv5 – Published: 2010-07-02 18:30 – Updated: 2024-08-07 02:32
VLAI
Summary
Mako before 0.3.4 relies on the cgi.escape function in the Python standard library for cross-site scripting (XSS) protection, which makes it easier for remote attackers to conduct XSS attacks via vectors involving single-quote characters and a JavaScript onLoad event handler for a BODY element.
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
URL Tags
http://www.makotemplates.org/CHANGES x_refsource_CONFIRM
http://bugs.python.org/issue9061 x_refsource_MISC
http://lists.opensuse.org/opensuse-security-annou… vendor-advisoryx_refsource_SUSE
http://secunia.com/advisories/39935 third-party-advisoryx_refsource_SECUNIA
Date Public
2010-06-23 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.


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.