CVE-2025-69534 (GCVE-0-2025-69534)
Vulnerability from cvelistv5 – Published: 2026-03-05 00:00 – Updated: 2026-09-07 12:05
VLAI
EPSS
VEX
Summary
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.
Severity
7.5 (High)
8.2 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-12 16:17 UTC
Assigner
References
20 references
Impacted products
27 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 8 |
Unaffected:
0:3.10.2-1.el8ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.5::el8 |
||
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 9 |
Unaffected:
0:3.10.2-1.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.5::el9 |
||
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 9 |
Unaffected:
0:4.7.11-2.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
||
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 9 |
Unaffected:
0:3.10.2-1.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
||
| Red Hat | Red Hat Enterprise Linux 10 |
Unaffected:
0:3.5.1-6.el10_2.1 , < *
(rpm)
cpe:/o:redhat:enterprise_linux:10.2 |
||
| Red Hat | Red Hat Enterprise Linux 10.0 Extended Update Support |
Unaffected:
0:3.5.1-6.el10_0.1 , < *
(rpm)
cpe:/o:redhat:enterprise_linux_eus:10.0 |
||
| Red Hat | Red Hat Enterprise Linux 9 |
Unaffected:
0:3.3.4-4.el9_8.2 , < *
(rpm)
cpe:/o:redhat:enterprise_linux:9 |
||
| Red Hat | Red Hat Enterprise Linux 9.4 Extended Update Support |
Unaffected:
0:3.3.4-4.el9_4.2 , < *
(rpm)
cpe:/o:redhat:rhel_eus:9.4 |
||
| Red Hat | Red Hat Enterprise Linux 9.6 Extended Update Support |
Unaffected:
0:3.3.4-4.el9_6.2 , < *
(rpm)
cpe:/o:redhat:rhel_eus:9.6 |
||
| Red Hat | Red Hat Satellite 6.16 for RHEL 8 |
Unaffected:
0:3.8.2-1.el8pc , < *
(rpm)
cpe:/a:redhat:satellite:6.16::el8 cpe:/a:redhat:satellite_capsule:6.16::el8 |
||
| Red Hat | Red Hat Satellite 6.16 for RHEL 9 |
Unaffected:
0:3.8.2-1.el9pc , < *
(rpm)
cpe:/a:redhat:satellite:6.16::el9 cpe:/a:redhat:satellite_capsule:6.16::el9 |
||
| Red Hat | Red Hat Satellite 6.17 for RHEL 9 |
Unaffected:
0:3.8.2-1.el9pc , < *
(rpm)
cpe:/a:redhat:satellite:6.17::el9 cpe:/a:redhat:satellite_capsule:6.17::el9 |
||
| Red Hat | Red Hat Satellite 6.18 for RHEL 9 |
Unaffected:
0:3.8.2-1.el9pc , < *
(rpm)
cpe:/a:redhat:satellite:6.18::el9 cpe:/a:redhat:satellite_capsule:6.18::el9 |
||
| Red Hat | Red Hat Developer Hub 1.8 |
Unaffected:
1776784286 , < *
(rpm)
cpe:/a:redhat:rhdh:1.8::el9 |
||
| Red Hat | Red Hat Developer Hub 1.9 |
Unaffected:
1777903262 , < *
(rpm)
cpe:/a:redhat:rhdh:1.9::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1776768939 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1776243287 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1776272253 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | External Secrets Operator for Red Hat OpenShift |
cpe:/a:redhat:external_secrets_operator:1
|
||
| Red Hat | Multicluster Engine for Kubernetes |
cpe:/a:redhat:multicluster_engine
|
||
| Red Hat | Red Hat Ansible Automation Platform 2 |
cpe:/a:redhat:ansible_automation_platform:2
|
||
| Red Hat | Red Hat Enterprise Linux 6 |
cpe:/o:redhat:enterprise_linux:6
|
||
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8
|
||
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
||
| Red Hat | Red Hat OpenShift Container Platform 4 |
cpe:/a:redhat:openshift:4
|
||
| Red Hat | Red Hat OpenShift Dev Spaces |
cpe:/a:redhat:openshift_devspaces:3
|
||
| Red Hat | Red Hat Satellite 6 |
cpe:/a:redhat:satellite:6
|
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"packageName": "automation-controller",
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"cpes": [
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"cpes": [
"cpe:/o:redhat:rhel_eus:9.4"
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"packageName": "python-markdown",
"product": "Red Hat Enterprise Linux 9.4 Extended Update Support",
"vendor": "Red Hat",
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{
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{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/o:redhat:rhel_eus:9.6"
],
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"packageName": "python-markdown",
"product": "Red Hat Enterprise Linux 9.6 Extended Update Support",
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{
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"version": "0:3.3.4-4.el9_6.2",
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{
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"cpe:/a:redhat:satellite_capsule:6.16::el8"
],
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"product": "Red Hat Satellite 6.16 for RHEL 8",
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"vendor": "Red Hat"
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"vendor": "Red Hat"
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],
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"packageName": "python-markdown",
"product": "Red Hat Enterprise Linux 8",
"vendor": "Red Hat"
},
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"cpes": [
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],
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"packageName": "rhoai/odh-built-in-detector-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
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],
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"packageName": "rhoai/odh-guardrails-detector-huggingface-runtime-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
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"cpes": [
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],
"defaultStatus": "unaffected",
"packageName": "rhoai/odh-kserve-agent-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
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"cpes": [
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"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
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"cpes": [
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],
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"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
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"cpes": [
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],
"defaultStatus": "affected",
"packageName": "rhoai/odh-modelmesh-runtime-adapter-rhel8",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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