CVE-2001-1161 (GCVE-0-2001-1161)

Vulnerability from cvelistv5 – Published: 2002-06-25 04:00 – Updated: 2024-08-08 04:44
VLAI
Summary
Cross-site scripting (CSS) vulnerability in Lotus Domino 5.0.6 allows remote attackers to execute script on other web clients via a URL that ends in Javascript, which generates an error message that does not quote the resulting script.
Severity
No CVSS data available.
CWE
  • n/a
References
URL Tags
http://www.iss.net/security_center/static/6789.php vdb-entryx_refsource_XF
http://www.securityfocus.com/bid/2962 vdb-entryx_refsource_BID
http://www.securityfocus.com/archive/1/194609 mailing-listx_refsource_BUGTRAQ
http://www.kb.cert.org/vuls/id/642239 third-party-advisoryx_refsource_CERT-VN
http://www.osvdb.org/1887 vdb-entryx_refsource_OSVDB
http://www.securityfocus.com/archive/1/194465 mailing-listx_refsource_BUGTRAQ
Date Public
2001-07-02 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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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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