CVE-2016-10531
"marked HTML Entity Injection JavaScript Code Injection"
Description
marked is an application that is meant to parse and compile markdown. Due to the way that marked 0.3.5 and earlier parses input, specifically HTML entities, it's possible to bypass marked's content injection protection (`sanitize: true`) to inject a `javascript:` URL. This flaw exists because `&#xNNanything;` gets parsed to what it could and leaves the rest behind, resulting in just `anything;` being left.
INFO
Published Date :
May 31, 2018, 8:29 p.m.
Last Modified :
Nov. 21, 2024, 2:44 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
2.7
Exploitability Score :
2.8
Public PoC/Exploit Available at Github
CVE-2016-10531 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-2016-10531
.
URL | Resource |
---|---|
https://github.com/chjj/marked/pull/592 | Exploit Issue Tracking Third Party Advisory |
https://github.com/chjj/marked/pull/592/commits/2cff85979be8e7a026a9aca35542c470cf5da523 | Patch Third Party Advisory |
https://nodesecurity.io/advisories/101 | Third Party Advisory |
https://github.com/chjj/marked/pull/592 | Exploit Issue Tracking Third Party Advisory |
https://github.com/chjj/marked/pull/592/commits/2cff85979be8e7a026a9aca35542c470cf5da523 | Patch Third Party Advisory |
https://nodesecurity.io/advisories/101 | 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
CMake Shell Perl C++ C Batchfile CSS Makefile M4 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-2016-10531
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2016-10531
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 CWE HackerOne CWE-79 -
Initial Analysis by [email protected]
Jul. 20, 2018
Action Type Old Value New Value Added CVSS V2 Metadata Victim must voluntarily interact with attack mechanism Added CVSS V2 (AV:N/AC:M/Au:N/C:N/I:P/A:N) Added CVSS V3 AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N Changed Reference Type https://github.com/chjj/marked/pull/592 No Types Assigned https://github.com/chjj/marked/pull/592 Exploit, Issue Tracking, Third Party Advisory Changed Reference Type https://github.com/chjj/marked/pull/592/commits/2cff85979be8e7a026a9aca35542c470cf5da523 No Types Assigned https://github.com/chjj/marked/pull/592/commits/2cff85979be8e7a026a9aca35542c470cf5da523 Patch, Third Party Advisory Changed Reference Type https://nodesecurity.io/advisories/101 No Types Assigned https://nodesecurity.io/advisories/101 Third Party Advisory Added CWE CWE-79 Added CPE Configuration OR *cpe:2.3:a:marked_project:marked:*:*:*:*:*:node.js:*:* versions up to (including) 0.3.5
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2016-10531
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-2016-10531
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.09 }} -0.04%
score
0.36778
percentile