CVE-2007-1649 (GCVE-0-2007-1649)

Vulnerability from cvelistv5 – Published: 2007-03-24 00:00 – Updated: 2024-08-07 13:06
VLAI
Summary
PHP 5.2.1 allows context-dependent attackers to read portions of heap memory by executing certain scripts with a serialized data input string beginning with S:, which does not properly track the number of input bytes being processed.
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
URL Tags
http://www.php-security.org/MOPB/MOPB-29-2007.html x_refsource_MISC
https://exchange.xforce.ibmcloud.com/vulnerabilit… vdb-entryx_refsource_XF
http://secunia.com/advisories/24630 third-party-advisoryx_refsource_SECUNIA
http://www.securityfocus.com/bid/23105 vdb-entryx_refsource_BID
http://us2.php.net/releases/5_2_2.php x_refsource_CONFIRM
http://www.mandriva.com/security/advisories?name=… vendor-advisoryx_refsource_MANDRIVA
Date Public
2007-03-23 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.



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.