{"id":86583,"date":"2026-03-01T18:29:12","date_gmt":"2026-03-01T18:29:12","guid":{"rendered":""},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-30T00:00:00","slug":"cve-2025-6714-mongodb-server-unresponsiveness-due-to-incorrect-data-handling","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-6714-mongodb-server-unresponsiveness-due-to-incorrect-data-handling\/","title":{"rendered":"<strong>CVE-2025-6714: MongoDB Server Unresponsiveness Due to Incorrect Data Handling<\/strong>"},"content":{"rendered":"<p><strong>Overview<\/strong><\/p>\n<p>The CVE-2025-6714 vulnerability is a critical flaw in MongoDB Server&#8217;s mongos component. This issue affects MongoDB servers configured with load balancer support, potentially causing system compromise or data leakage. The vulnerability is of high importance due to its severity score of 7.5, and its potential impact on data integrity and system availability.<\/p>\n<p><strong>Vulnerability Summary<\/strong><\/p>\n<p>CVE ID: CVE-2025-6714<br \/>\nSeverity: High (CVSS: 7.5)<br \/>\nAttack Vector: Network<br \/>\nPrivileges Required: None<br \/>\nUser Interaction: None<br \/>\nImpact: System compromise or data leakage<\/p>\n<p><strong>Affected Products<\/strong><\/p>\n<p>Product | Affected Versions<\/p>\n<p>MongoDB Server v6.0 | Prior to 6.0.23<br \/>\nMongoDB Server v7.0 | Prior to 7.0.20<br \/>\nMongoDB Server v8.0 | Prior to 8.0.9<\/p>\n<p><strong>How the Exploit Works<\/strong><\/p>\n<p>The exploit leverages the incorrect handling of incomplete data in MongoDB&#8217;s mongos component. A malicious entity can exploit this by sending incomplete data to the server, causing it to become unresponsive to new connections. This could potentially lead to a system compromise or data leakage, particularly in environments where MongoDB is configured with load balancer support.<\/p>\n<p><strong>Conceptual Example Code<\/strong><\/p>\n<p>Here&#8217;s a conceptual example of how the vulnerability might be exploited, assuming the attacker has network access to the MongoDB server:<\/p>\n<pre><code class=\"language-shell\">$ echo -n \"incomplete_data_packet\" | nc target.mongo.server.com 27017<\/code><\/pre>\n<p>In this example, &#8220;incomplete_data_packet&#8221; stands for data deliberately designed to exploit the incorrect data handling in MongoDB&#8217;s mongos component. The netcat (`nc`) command is used to send this data to the MongoDB server, potentially causing it to become unresponsive to new connections.<br \/>\nPlease note that this is a conceptual example and might not work in a real-world scenario without modifications specific to the target environment. Always follow ethical guidelines when testing for vulnerabilities.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Overview The CVE-2025-6714 vulnerability is a critical flaw in MongoDB Server&#8217;s mongos component. This issue affects MongoDB servers configured with load balancer support, potentially causing system compromise or data leakage. The vulnerability is of high importance due to its severity score of 7.5, and its potential impact on data integrity and system availability. Vulnerability Summary [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[],"tags":[],"vendor":[],"product":[],"attack_vector":[],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-86583","post","type-post","status-publish","format-standard","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"Overview The CVE-2025-6714 vulnerability is a critical flaw in MongoDB Server&#039;s mongos component. This issue affects MongoDB servers configured with load balancer support, potentially causing system compromise or data leakage. The vulnerability is of high importance due to its severity score of 7.5, and its potential impact on data integrity and system availability. 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