CVE-2013-7440
Python SSL Wildcard Certificate Spoofing
Description
The ssl.match_hostname function in CPython (aka Python) before 2.7.9 and 3.x before 3.3.3 does not properly handle wildcards in hostnames, which might allow man-in-the-middle attackers to spoof servers via a crafted certificate.
INFO
Published Date :
June 7, 2016, 6:59 p.m.
Last Modified :
Nov. 21, 2024, 2:01 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
2.2
Public PoC/Exploit Available at Github
CVE-2013-7440 has a 1 public PoC/Exploit
available at Github.
Go to the Public Exploits
tab to see the list.
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-2013-7440
.
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).
Python script to summarize the data retrieved from a search at CVEDetails.com
cve cvedetails scrapper scrapper-script summary
Python
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2013-7440
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2013-7440
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 -
CVE Modified by [email protected]
Nov. 28, 2016
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/74707 [No Types Assigned] -
Modified Analysis by [email protected]
Jun. 08, 2016
Action Type Old Value New Value Added CPE Configuration Configuration 1 OR *cpe:2.3:a:python:python:2.7.8:*:*:*:*:*:*:* (and previous) Configuration 2 OR *cpe:2.3:a:python:python:3.3.2:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.3.1:rc1:*:*:*:*:*:* *cpe:2.3:a:python:python:3.3.1:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.3.0:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.3:beta2:*:*:*:*:*:* *cpe:2.3:a:python:python:3.3:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2.6:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2.5:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2.4:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2.3:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2.2150:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2.2:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2.1:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2.0:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2:alpha:*:*:*:*:*:* *cpe:2.3:a:python:python:3.2:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.1.5:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.1.4:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.1.3:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.1.2150:*:*:*:*:*:x64:* *cpe:2.3:a:python:python:3.1.2:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.1.1:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.1:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.0.1:*:*:*:*:*:*:* *cpe:2.3:a:python:python:3.0:*:*:*:*:*:*:* Added CVSS V2 (AV:N/AC:M/Au:N/C:N/I:P/A:N) Added CVSS V3 AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N Added CWE CWE-19 -
Initial Analysis by [email protected]
Jun. 08, 2016
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-2013-7440
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-2013-7440
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.16 }} 0.00%
score
0.50865
percentile