CVE-2007-5018 (GCVE-0-2007-5018)

Vulnerability from cvelistv5 – Published: 2007-09-20 21:00 – Updated: 2024-08-07 15:17
VLAI
Summary
Stack-based buffer overflow in IMAPD in Mercury/32 4.52 allows remote authenticated users to execute arbitrary code via a long argument in a SEARCH ON command. NOTE: this issue might overlap with CVE-2004-1211.
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
URL Tags
http://www.securitytracker.com/id?1018714 vdb-entryx_refsource_SECTRACK
http://www.securityfocus.com/bid/25733 vdb-entryx_refsource_BID
https://www.exploit-db.com/exploits/4429 exploitx_refsource_EXPLOIT-DB
http://osvdb.org/39670 vdb-entryx_refsource_OSVDB
http://secunia.com/advisories/26878 third-party-advisoryx_refsource_SECUNIA
http://www.vupen.com/english/advisories/2007/3224 vdb-entryx_refsource_VUPEN
Date Public
2007-09-19 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.



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.