CVE-2008-4665 (GCVE-0-2008-4665)

Vulnerability from cvelistv5 – Published: 2008-10-22 10:00 – Updated: 2024-08-07 10:24
VLAI
Summary
SQL injection vulnerability in PG Matchmaking allows remote attackers to execute arbitrary SQL commands via the id parameter to (1) news_read.php and (2) gifts_show.php.
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
URL Tags
https://exchange.xforce.ibmcloud.com/vulnerabilit… vdb-entryx_refsource_XF
http://www.vupen.com/english/advisories/2008/2698 vdb-entryx_refsource_VUPEN
http://secunia.com/advisories/32016 third-party-advisoryx_refsource_SECUNIA
http://securityreason.com/securityalert/4466 third-party-advisoryx_refsource_SREASON
https://www.exploit-db.com/exploits/6626 exploitx_refsource_EXPLOIT-DB
http://www.securityfocus.com/bid/31477 vdb-entryx_refsource_BID
Date Public
2008-09-29 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.


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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.