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Advisory details: gitlab / pypi/extractor/CVE-2006-2458
Advisory ID gitlab/pypi/extractor/CVE-2006-2458
Aliases CVE-2006-2458
GHSA-f836-7jqw-3684
Summary Libextractor multiple heap-based buffer overflows Multiple heap-based buffer overflows in Libextractor 0.5.13 and earlier allow remote attackers to execute arbitrary code via (1) the asf_read_header function in the ASF plugin (plugins/asfextractor.c), and (2) the parse_trak_atom function in the QT plugin (plugins/qtextractor.c).
Status Published
Exploitability 2.0
Weighted Severity 0.0
Risk
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (2)
CWE-937 OWASP Top Ten 2013 Category A9 - Using Components with Known Vulnerabilities
CWE-1035 OWASP Top Ten 2017 Category A9 - Using Components with Known Vulnerabilities
System Score Found at
cvssv2 https://gitlab.com/gitlab-org/advisories-community/-/blob/main/pypi/extractor/CVE-2006-2458.yml
Reference id Reference type URL
https://exchange.xforce.ibmcloud.com/vulnerabilities/26531
https://exchange.xforce.ibmcloud.com/vulnerabilities/26532
https://github.com/pypa/advisory-database/tree/main/vulns/extractor/PYSEC-2006-4.yaml
CVE-2006-2458 https://nvd.nist.gov/vuln/detail/CVE-2006-2458
GHSA-f836-7jqw-3684 https://github.com/advisories/GHSA-f836-7jqw-3684
Data source Exploit-DB
Date added May 16, 2006
Description libextractor 0.5.13 - Multiple Heap Overflows (PoC)
Ransomware campaign use Known
Source publication date May 17, 2006
Exploit type dos
Platform multiple
Source update date July 29, 2016

No EPSS data available for this advisory.

Patch URL
There are no known patches.
Vector: AV:N/AC:H/Au:N/C:P/I:P/A:N Found at https://gitlab.com/gitlab-org/advisories-community/-/blob/main/pypi/extractor/CVE-2006-2458.yml
Exploitability (E) Access Vector (AV) Access Complexity (AC) Authentication (Au) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

high

functional

unproven

proof_of_concept

not_defined

local

adjacent_network

network

high

medium

low

multiple

single

none

none

partial

complete

none

partial

complete

none

partial

complete

There are no SSVC decisions available.