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CVE-2008-0617 (GCVE-0-2008-0617)

Vulnerability from cvelistv5 – Published: 2008-02-06 11:00 – Updated: 2024-08-07 07:54
VLAI
Summary
Multiple cross-site scripting (XSS) vulnerabilities in the DMSGuestbook 1.7.0 plugin for WordPress allow remote attackers to inject arbitrary web script or HTML via the (1) file parameter to wp-admin/admin.php, or the (2) messagefield parameter in the guestbook page, and the (3) title parameter in the messagearea.
Severity
No CVSS data available.
CWE
  • n/a
References
URL Tags
http://www.securityfocus.com/bid/27575 vdb-entryx_refsource_BID
http://securityreason.com/securityalert/3615 third-party-advisoryx_refsource_SREASON
http://www.securityfocus.com/archive/1/487437/100… mailing-listx_refsource_BUGTRAQ
https://www.exploit-db.com/exploits/5035 exploitx_refsource_EXPLOIT-DB
Date Public
2008-02-02 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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Detection rules are retrieved from Rulezet.

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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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