CVE-2026-14702: Insufficiently Random Values in zcaceres markdownify-mcp
A flaw has been found in zcaceres markdownify-mcp up to 1.1.0. This impacts the function saveToTempFile of the file src/Markdownify.ts of the component webpage-to-markdown/youtube-to-markdown/bing-search-to-markdown. This manipulation causes insufficiently random values. The attack is restricted to local execution. A high degree of complexity is needed for the attack. The exploitability is said to be difficult. The exploit has been published and may be used. The pull request to fix this issue awaits acceptance.
AI Analysis
Technical Summary
This vulnerability in zcaceres markdownify-mcp up to version 1.1.0 involves insufficient randomness in values generated by the saveToTempFile function in the src/Markdownify.ts file, impacting the webpage-to-markdown, youtube-to-markdown, and bing-search-to-markdown components. The flaw could potentially be leveraged by an attacker with local access, but exploitation is complex and difficult. Although an exploit is publicly available, no official patch or remediation has been released yet; a pull request addressing the issue is awaiting acceptance.
Potential Impact
The vulnerability results in insufficiently random values, which may weaken security mechanisms relying on randomness. However, the attack requires local execution and is difficult to perform, limiting the practical impact. There is no indication of remote exploitability or privilege escalation. The CVSS score of 2 (low severity) reflects the limited impact and exploitability.
Mitigation Recommendations
No official fix or patch is currently available. A pull request to fix the issue is pending acceptance. Until an official patch is released, users should restrict local access to trusted users only to reduce risk. Monitor the vendor's repository or advisory channels for updates regarding the acceptance and release of the fix.
CVE-2026-14702: Insufficiently Random Values in zcaceres markdownify-mcp
Description
A flaw has been found in zcaceres markdownify-mcp up to 1.1.0. This impacts the function saveToTempFile of the file src/Markdownify.ts of the component webpage-to-markdown/youtube-to-markdown/bing-search-to-markdown. This manipulation causes insufficiently random values. The attack is restricted to local execution. A high degree of complexity is needed for the attack. The exploitability is said to be difficult. The exploit has been published and may be used. The pull request to fix this issue awaits acceptance.
CVSS v4.0
Score 2.0low
Affected software
pkg:npm/zcaceres/markdownify-mcpcpe:2.3:a:zcaceres:markdownify-mcp:*:*:*:*:*:*:*:*Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in zcaceres markdownify-mcp up to version 1.1.0 involves insufficient randomness in values generated by the saveToTempFile function in the src/Markdownify.ts file, impacting the webpage-to-markdown, youtube-to-markdown, and bing-search-to-markdown components. The flaw could potentially be leveraged by an attacker with local access, but exploitation is complex and difficult. Although an exploit is publicly available, no official patch or remediation has been released yet; a pull request addressing the issue is awaiting acceptance.
Potential Impact
The vulnerability results in insufficiently random values, which may weaken security mechanisms relying on randomness. However, the attack requires local execution and is difficult to perform, limiting the practical impact. There is no indication of remote exploitability or privilege escalation. The CVSS score of 2 (low severity) reflects the limited impact and exploitability.
Mitigation Recommendations
No official fix or patch is currently available. A pull request to fix the issue is pending acceptance. Until an official patch is released, users should restrict local access to trusted users only to reduce risk. Monitor the vendor's repository or advisory channels for updates regarding the acceptance and release of the fix.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-07-04T05:28:34.112Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a49dbe327e9c7971905a689
Added to database: 07/05/2026, 04:21:55 UTC
Last enriched: 07/12/2026, 08:50:12 UTC
Last updated: 08/18/2026, 22:49:25 UTC
Views: 91
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.