CVE-2009-1738 (GCVE-0-2009-1738)

Vulnerability from cvelistv5 – Published: 2009-05-20 19:00 – Updated: 2024-08-07 05:20
VLAI
Summary
Cross-site scripting (XSS) vulnerability in Feed Block 6.x-1.x before 6.x-1.1, a module for Drupal, allows remote authenticated users with administrator feed permissions to inject arbitrary web script or HTML via unspecified vectors in "aggregator items."
Severity
No CVSS data available.
CWE
  • n/a
References
URL Tags
http://drupal.org/node/453098 x_refsource_CONFIRM
http://www.osvdb.org/54429 vdb-entryx_refsource_OSVDB
http://secunia.com/advisories/35044 third-party-advisoryx_refsource_SECUNIA
http://www.vupen.com/english/advisories/2009/1319 vdb-entryx_refsource_VUPEN
http://drupal.org/node/461706 x_refsource_CONFIRM
http://www.securityfocus.com/bid/34953 vdb-entryx_refsource_BID
https://exchange.xforce.ibmcloud.com/vulnerabilit… vdb-entryx_refsource_XF
Date Public
2009-05-13 00:00
Show details on NVD website

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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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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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