CVE-2017-11427
OneLogin SAML XML Canonicalization Attack
Description
OneLogin PythonSAML 2.3.0 and earlier may incorrectly utilize the results of XML DOM traversal and canonicalization APIs in such a way that an attacker may be able to manipulate the SAML data without invalidating the cryptographic signature, allowing the attack to potentially bypass authentication to SAML service providers.
INFO
Published Date :
April 17, 2019, 2:29 p.m.
Last Modified :
Oct. 9, 2019, 11:22 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2017-11427 has a 12 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-2017-11427.
| URL | Resource |
|---|---|
| https://duo.com/blog/duo-finds-saml-vulnerabilities-affecting-multiple-implementations | Exploit Technical Description Third Party Advisory |
| https://www.kb.cert.org/vuls/id/475445 | US Government Resource Third Party Advisory |
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).
None
Makefile Python
None
Python Dockerfile PHP Shell HTML
None
Makefile Python HTML CSS Jinja
None
Python Dockerfile PHP Shell HTML
Packaging for python3-saml
Python HTML CSS Jinja
None
Python HTML CSS Shell PowerShell JavaScript C C++ Objective-C XSLT
Test authentification OneLogin with saml-python toolkit
Python HTML Shell CSS JavaScript C C++ Objective-C XSLT
None
Python HTML CSS
Vulnerable SAML infrastructure training applicaiton
PHP Shell Python HTML Dockerfile
The Demo for CVE-2017-11427
Shell Python HTML CSS C C++ Objective-C XSLT JavaScript
None
Python HTML CSS Jinja Makefile
Python SAML Toolkit
Python HTML CSS Jinja
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2017-11427 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2017-11427 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]
Oct. 09, 2019
Action Type Old Value New Value Added CVSS V3 Duo Security, Inc. AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N Added CWE Duo Security, Inc. CWE-287 -
Initial Analysis by [email protected]
Apr. 18, 2019
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:L/Au:N/C:P/I:P/A:P) Added CVSS V3 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://duo.com/blog/duo-finds-saml-vulnerabilities-affecting-multiple-implementations No Types Assigned https://duo.com/blog/duo-finds-saml-vulnerabilities-affecting-multiple-implementations Exploit, Technical Description, Third Party Advisory Changed Reference Type https://www.kb.cert.org/vuls/id/475445 No Types Assigned https://www.kb.cert.org/vuls/id/475445 Third Party Advisory, US Government Resource Added CWE CWE-287 Added CPE Configuration OR *cpe:2.3:a:onelogin:pythonsaml:*:*:*:*:*:*:*:* versions up to (including) 2.3.0
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2017-11427 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-2017-11427
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.97 }} -0.09%
score
0.83649
percentile