CVE-2009-1761
CA ARCserve Backup Windows Message Engine RPC Marshallling Error Denial of Service
Description
The message engine in CA ARCserve Backup r12.0 and r12.0 SP1 for Windows allows remote attackers to cause a denial of service (crash) via (1) an invalid 0x13 message, which is not properly handled in the ASCORE module, or (2) a 0x3B message with invalid stub data that triggers an RPC marshalling error.
INFO
Published Date :
June 16, 2009, 11:30 p.m.
Last Modified :
Nov. 21, 2024, 1:03 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
2.9
Exploitability Score :
10.0
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-2009-1761
.
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-2009-1761
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2009-1761
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.
-
CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference http://community.ca.com/blogs/casecurityresponseblog/archive/2009/06/15/ca20090615-01-ca-arcserve-backup-message-engine-denial-of-service-vulnerabilities.aspx Added Reference http://secunia.com/advisories/35473 Added Reference http://support.ca.com/irj/portal/anonymous/phpsupcontent?contentID=209502 Added Reference http://www.ivizsecurity.com/security-advisory-iviz-sr-09003.html Added Reference http://www.ivizsecurity.com/security-advisory-iviz-sr-09004.html Added Reference http://www.securityfocus.com/archive/1/504348/100/0/threaded Added Reference http://www.securityfocus.com/archive/1/504349/100/0/threaded Added Reference http://www.securityfocus.com/bid/35396 Added Reference http://www.securitytracker.com/id?1022405 Added Reference http://www.vupen.com/english/advisories/2009/1608 Added Reference https://exchange.xforce.ibmcloud.com/vulnerabilities/51169 -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Oct. 10, 2018
Action Type Old Value New Value Removed Reference http://www.securityfocus.com/archive/1/archive/1/504349/100/0/threaded [No Types Assigned] Removed Reference http://www.securityfocus.com/archive/1/archive/1/504348/100/0/threaded [No Types Assigned] Added Reference http://www.securityfocus.com/archive/1/504349/100/0/threaded [No Types Assigned] Added Reference http://www.securityfocus.com/archive/1/504348/100/0/threaded [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/51169 [No Types Assigned] Added Reference https://exchange.xforce.ibmcloud.com/vulnerabilities/51169 [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-2009-1761
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-2009-1761
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
6.80 }} -0.05%
score
0.93802
percentile