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CVE-2006-2522 (GCVE-0-2006-2522)

Vulnerability from cvelistv5 – Published: 2006-05-22 22:00 – Updated: 2024-08-07 17:51
VLAI
Summary
Dayfox Blog 2.0 and earlier stores user credentials in edit/slog_users.txt under the web document root with insufficient access control, which allows remote attackers to gain privileges.
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
URL Tags
http://www.osvdb.org/25689 vdb-entryx_refsource_OSVDB
http://securitytracker.com/id?1016163 vdb-entryx_refsource_SECTRACK
http://www.vupen.com/english/advisories/2006/1904 vdb-entryx_refsource_VUPEN
https://exchange.xforce.ibmcloud.com/vulnerabilit… vdb-entryx_refsource_XF
http://colander.altervista.org/advisory/DayfoxBlog.txt x_refsource_MISC
http://secunia.com/advisories/20216 third-party-advisoryx_refsource_SECUNIA
Date Public
2006-05-19 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.


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.