CVE-2012-1046 (GCVE-0-2012-1046)

Vulnerability from cvelistv5 – Published: 2012-02-10 19:00 – Updated: 2024-09-17 01:45
VLAI
Summary
Cross-site scripting (XSS) vulnerability in TM1 Web in IBM Cognos TM1 9.5.2 FP1 allows remote attackers to inject arbitrary web script or HTML via unspecified vectors, a different vulnerability than CVE-2012-0696.
Severity
No CVSS data available.
CWE
  • n/a
References
URL Tags
http://securitytracker.com/id?1026648 vdb-entryx_refsource_SECTRACK
http://www-01.ibm.com/support/docview.wss?uid=swg… x_refsource_CONFIRM
http://www.securityfocus.com/bid/51905 vdb-entryx_refsource_BID
http://www.osvdb.org/78917 vdb-entryx_refsource_OSVDB
http://www-01.ibm.com/support/docview.wss?crawler… x_refsource_CONFIRM
http://secunia.com/advisories/47889 third-party-advisoryx_refsource_SECUNIA
http://www.ibm.com/support/docview.wss?uid=swg1PM49009 vendor-advisoryx_refsource_AIXAPAR
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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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.


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