CVE-2009-1391
Apache SpamAssassin Denial of Service Buffer Overflow
Description
Off-by-one error in the inflate function in Zlib.xs in Compress::Raw::Zlib Perl module before 2.017, as used in AMaViS, SpamAssassin, and possibly other products, allows context-dependent attackers to cause a denial of service (hang or crash) via a crafted zlib compressed stream that triggers a heap-based buffer overflow, as exploited in the wild by Trojan.Downloader-71014 in June 2009.
INFO
Published Date :
June 16, 2009, 11:30 p.m.
Last Modified :
April 9, 2025, 12:30 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
6.4
Exploitability Score :
8.6
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2009-1391.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2009-1391 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2009-1391 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference http://article.gmane.org/gmane.mail.virus.amavis.user/33635 Added Reference http://article.gmane.org/gmane.mail.virus.amavis.user/33638 Added Reference http://lists.opensuse.org/opensuse-security-announce/2009-07/msg00002.html Added Reference http://osvdb.org/55041 Added Reference http://secunia.com/advisories/35422 Added Reference http://secunia.com/advisories/35685 Added Reference http://secunia.com/advisories/35689 Added Reference http://secunia.com/advisories/35876 Added Reference http://security.gentoo.org/glsa/glsa-200908-07.xml Added Reference http://thread.gmane.org/gmane.mail.virus.amavis.user/33635 Added Reference http://www.mandriva.com/security/advisories?name=MDVSA-2009:157 Added Reference http://www.securityfocus.com/bid/35307 Added Reference http://www.vupen.com/english/advisories/2009/1571 Added Reference https://bugs.gentoo.org/show_bug.cgi?id=273141 Added Reference https://bugzilla.redhat.com/show_bug.cgi?id=504386 Added Reference https://exchange.xforce.ibmcloud.com/vulnerabilities/51062 Added Reference https://usn.ubuntu.com/794-1/ Added Reference https://www.redhat.com/archives/fedora-package-announce/2009-July/msg00607.html -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Oct. 03, 2018
Action Type Old Value New Value Removed Reference http://www.ubuntulinux.org/support/documentation/usn/usn-794-1 [No Types Assigned] Added Reference https://usn.ubuntu.com/794-1/ [No Types Assigned] -
CVE Modified by [email protected]
Aug. 17, 2017
Action Type Old Value New Value Removed Reference http://xforce.iss.net/xforce/xfdb/51062 [Patch] Added Reference https://exchange.xforce.ibmcloud.com/vulnerabilities/51062 [No Types Assigned] -
Initial Analysis by [email protected]
Jun. 17, 2009
Action Type Old Value New Value
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2009-1391 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2009-1391
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
19.40 }} -0.76%
score
0.94901
percentile