CVE-2004-1120 (GCVE-0-2004-1120)

Vulnerability from cvelistv5 – Published: 2004-12-01 05:00 – Updated: 2024-08-08 00:39
VLAI
Summary
Multiple buffer overflows in (1) http.c, (2) http-retr.c, (3) main.c and other code that handles network protocols in ProZilla 1.3.6-r2 and earlier allow remote servers to execute arbitrary code via a long Location header.
Severity
No CVSS data available.
CWE
  • n/a
References
URL Tags
http://bugs.gentoo.org/show_bug.cgi?id=70090 x_refsource_CONFIRM
http://www.gentoo.org/security/en/glsa/glsa-20041… vendor-advisoryx_refsource_GENTOO
http://www.debian.org/security/2005/dsa-663 vendor-advisoryx_refsource_DEBIAN
https://exchange.xforce.ibmcloud.com/vulnerabilit… vdb-entryx_refsource_XF
http://www.securityfocus.com/bid/11734 vdb-entryx_refsource_BID
http://www.securityfocus.com/archive/1/382219 mailing-listx_refsource_BUGTRAQ
Date Public
2004-11-23 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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