7.5
HIGH CVSS 3.1
CVE-2025-69534
Python-Markdown HTML Injection Denial of Service
Description

Python-Markdown version 3.8 contain a vulnerability where malformed HTML-like sequences can cause html.parser.HTMLParser to raise an unhandled AssertionError during Markdown parsing. Because Python-Markdown does not catch this exception, any application that processes attacker-controlled Markdown may crash. This enables remote, unauthenticated Denial of Service in web applications, documentation systems, CI/CD pipelines, and any service that renders untrusted Markdown. The issue was acknowledged by the vendor and fixed in version 3.8.1. This issue causes a remote Denial of Service in any application parsing untrusted Markdown, and can lead to Information Disclosure through uncaught exceptions.

INFO

Published Date :

March 5, 2026, 3:16 p.m.

Last Modified :

March 13, 2026, 1:25 a.m.

Remotely Exploit :

Yes !
Affected Products

The following products are affected by CVE-2025-69534 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Python-markdown markdown
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH 134c704f-9b21-4f2e-91b3-4a467353bcc0
CVSS 3.1 HIGH [email protected]
Solution
Update Python-Markdown to version 3.8.1 or later to fix denial-of-service and information disclosure vulnerabilities.
  • Update Python-Markdown to version 3.8.1.
  • Ensure Markdown parsing exceptions are handled.
  • Avoid parsing untrusted Markdown content.
  • Monitor application logs for parsing errors.
Public PoC/Exploit Available at Github

CVE-2025-69534 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-2025-69534.

URL Resource
https://github.com/Python-Markdown/markdown Product
https://github.com/Python-Markdown/markdown/actions/runs/15736122892 Product
https://github.com/Python-Markdown/markdown/issues/1534 Exploit Issue Tracking
http://www.openwall.com/lists/oss-security/2026/03/06/4 Mailing List Third Party Advisory
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2025-69534 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-2025-69534 weaknesses.

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

Python Dockerfile Shell JavaScript HTML CSS

Updated: 1 week, 2 days ago
0 stars 0 fork 0 watcher
Born at : March 5, 2026, 10:51 p.m. This repo has been linked 10 different CVEs too.

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2025-69534 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2025-69534 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.

  • Initial Analysis by [email protected]

    Mar. 13, 2026

    Action Type Old Value New Value
    Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
    Added CPE Configuration OR *cpe:2.3:a:python-markdown:markdown:3.8:*:*:*:*:python:*:*
    Added Reference Type CVE: http://www.openwall.com/lists/oss-security/2026/03/06/4 Types: Mailing List, Third Party Advisory
    Added Reference Type MITRE: https://github.com/Python-Markdown/markdown Types: Product
    Added Reference Type MITRE: https://github.com/Python-Markdown/markdown/actions/runs/15736122892 Types: Product
    Added Reference Type MITRE: https://github.com/Python-Markdown/markdown/issues/1534 Types: Exploit, Issue Tracking
  • CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0

    Mar. 12, 2026

    Action Type Old Value New Value
    Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
    Added CWE CWE-400
  • CVE Modified by af854a3a-2127-422b-91ae-364da2661108

    Mar. 06, 2026

    Action Type Old Value New Value
    Added Reference http://www.openwall.com/lists/oss-security/2026/03/06/4
  • New CVE Received by [email protected]

    Mar. 05, 2026

    Action Type Old Value New Value
    Added Description Python-Markdown version 3.8 contain a vulnerability where malformed HTML-like sequences can cause html.parser.HTMLParser to raise an unhandled AssertionError during Markdown parsing. Because Python-Markdown does not catch this exception, any application that processes attacker-controlled Markdown may crash. This enables remote, unauthenticated Denial of Service in web applications, documentation systems, CI/CD pipelines, and any service that renders untrusted Markdown. The issue was acknowledged by the vendor and fixed in version 3.8.1. This issue causes a remote Denial of Service in any application parsing untrusted Markdown, and can lead to Information Disclosure through uncaught exceptions.
    Added Reference https://github.com/Python-Markdown/markdown
    Added Reference https://github.com/Python-Markdown/markdown/actions/runs/15736122892
    Added Reference https://github.com/Python-Markdown/markdown/issues/1534
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.