CVE-2010-1687
Mocha W32 LPD Stack-based Buffer Overflow
Description
Stack-based buffer overflow in lpd.exe in Mocha W32 LPD 1.9 allows remote attackers to cause a denial of service (crash) and possibly execute arbitrary code via a crafted "recieve jobs" request. NOTE: some of these details are obtained from third party information.
INFO
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-2010-1687.
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-2010-1687 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2010-1687 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 [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
May. 05, 2010
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-2010-1687 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-2010-1687
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
28.14 }} 5.22%
score
0.96906
percentile