{"id":85818,"date":"2025-11-12T00:15:59","date_gmt":"2025-11-12T00:15:59","guid":{"rendered":""},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-30T06:00:00","slug":"cve-2025-23354-nvidia-megatron-lm-script-injection-vulnerability","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-23354-nvidia-megatron-lm-script-injection-vulnerability\/","title":{"rendered":"<strong>CVE-2025-23354: NVIDIA Megatron-LM Script Injection Vulnerability<\/strong>"},"content":{"rendered":"<p><strong>Overview<\/strong><\/p>\n<p>The CVE-2025-23354 vulnerability is a serious flaw found in NVIDIA&#8217;s Megatron-LM across all platforms. It resides within the ensemble_classifer script, making it susceptible to a malicious data injection attack. This vulnerability is of great concern, as successful exploitation could allow code execution, privilege escalation, information disclosure, or even data tampering.<\/p>\n<p><strong>Vulnerability Summary<\/strong><\/p>\n<p>CVE ID: CVE-2025-23354<br \/>\nSeverity: High (7.8 CVSS score)<br \/>\nAttack Vector: Script Injection<br \/>\nPrivileges Required: None<br \/>\nUser Interaction: Required<br \/>\nImpact: The successful exploitation may lead to code execution, escalation of privileges, Information disclosure, and data tampering.<\/p>\n<p><strong>Affected Products<\/strong><\/p><div id=\"ameeb-432723019\" class=\"ameeb-content-2 ameeb-entity-placement\"><div style=\"border-left: 4px solid #555; padding-left: 20px; margin: 48px 0; font-family: Roboto, sans-serif; color: #ffffff; line-height: 1.6; max-width: 700px;\">\r\n  <h2 style=\"margin-top: 0; font-size: 20px; font-weight: 600; display: flex; align-items: center;\">\r\n    <a href=\"https:\/\/www.ameeba.com\/chat\" style=\"display: inline-flex; align-items: center; margin-right: 8px;\">\r\n      <img decoding=\"async\" src=\"https:\/\/www.ameeba.com\/blog\/wp-content\/uploads\/2025\/10\/Best-App-icon-Ameeba.png\" alt=\"Ameeba Chat Icon\" style=\"width: 40px; height: 40px;\" \/>\r\n    <\/a>\r\n    A new way to communicate\r\n  <\/h2>\r\n\r\n  <p style=\"margin-bottom: 12px;\">\r\n    Ameeba Chat is built on encrypted identity, not personal profiles.\r\n  <\/p>\r\n\r\n  <p style=\"margin-bottom: 16px;\">\r\n    Message, call, share files, and coordinate with identities kept separate.\r\n  <\/p>\r\n\r\n  <ul style=\"list-style: none; padding-left: 0; margin-bottom: 20px;\">\r\n    <li>\u2022 Encrypted identity<\/li>\r\n    <li>\u2022 Ameeba Chat authenticates access<\/li>\r\n    <li>\u2022 Aliases and categories<\/li>\r\n    <li>\u2022 End-to-end encrypted chat, calls, and files<\/li>\r\n    <li>\u2022 Secure notes for sensitive information<\/li>\r\n  <\/ul>\r\n\r\n  <p style=\"font-style: italic; font-weight: 600; margin-bottom: 24px;\">\r\n    Private communication, rethought.\r\n  <\/p>\r\n\r\n  <div style=\"display: flex; flex-wrap: wrap; gap: 12px;\">\r\n    <a href=\"https:\/\/www.ameeba.com\/chat\/download\" style=\"background-color: #ffffff; color: #000000; padding: 10px 20px; text-decoration: none; border-radius: 6px; font-weight: 500;\">Download Ameeba Chat<\/a>\r\n    <a href=\"https:\/\/www.ameeba.com\/chat\" style=\"border: 1px solid #ffffff; color: #ffffff; padding: 10px 20px; text-decoration: none; border-radius: 6px; font-weight: 500;\">Learn More<\/a>\r\n  <\/div>\r\n<\/div>\r\n<\/div>\n<p>Product | Affected Versions<\/p>\n<p>NVIDIA Megatron-LM | All versions<\/p>\n<p><strong>How the Exploit Works<\/strong><\/p>\n<p>An attacker sends crafted data to the ensemble_classifier script of the NVIDIA Megatron-LM. This malicious data is designed to exploit the script injection vulnerability, triggering unintended command executions. Consequently, the attacker may gain unauthorized access, escalate their privileges, and manipulate data within the system.<\/p>\n<p><strong>Conceptual Example Code<\/strong><\/p><div id=\"ameeb-619629001\" class=\"ameeb-content ameeb-entity-placement\"><div class=\"poptin-embedded\" data-id=\"f6b387694f681\"><\/div>\r\n\r\n\r\n\r\n\r\n\r\n<\/div>\n<p>Below is a conceptual example of how the vulnerability might be exploited using a malicious payload in a POST request:<\/p>\n<pre><code class=\"\" data-line=\"\">POST \/ensemble_classifier HTTP\/1.1\nHost: target.example.com\nContent-Type: application\/json\n{ &quot;malicious_payload&quot;: &quot;&#039;; DROP TABLE users; --&quot; }<\/code><\/pre>\n<p>In this example, the malicious payload is an SQL injection command designed to delete the &#8216;users&#8217; table from a database. This is just a conceptual illustrative example, the actual exploit would depend on the specific vulnerability in the ensemble_classifier script.<\/p>\n<p><strong>Mitigation Guidance<\/strong><\/p>\n<p>To mitigate the risk associated with this vulnerability, users are advised to apply the latest vendor-provided patch for NVIDIA Megatron-LM. In case the patch is not immediately available or applicable, the use of a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can serve as temporary mitigation, helping to detect and prevent the execution of the malicious payload. Furthermore, continuous monitoring of network traffic and system logs can aid in early detection of any exploit attempts.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Overview The CVE-2025-23354 vulnerability is a serious flaw found in NVIDIA&#8217;s Megatron-LM across all platforms. It resides within the ensemble_classifer script, making it susceptible to a malicious data injection attack. This vulnerability is of great concern, as successful exploitation could allow code execution, privilege escalation, information disclosure, or even data tampering. Vulnerability Summary CVE ID: [&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,"footnotes":""},"categories":[],"tags":[],"vendor":[],"product":[],"attack_vector":[],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-85818","post","type-post","status-publish","format-standard","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/posts\/85818","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/comments?post=85818"}],"version-history":[{"count":0,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/posts\/85818\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/media?parent=85818"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/categories?post=85818"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/tags?post=85818"},{"taxonomy":"vendor","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/vendor?post=85818"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/product?post=85818"},{"taxonomy":"attack_vector","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/attack_vector?post=85818"},{"taxonomy":"asset_type","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/asset_type?post=85818"},{"taxonomy":"severity","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/severity?post=85818"},{"taxonomy":"exploit_status","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/exploit_status?post=85818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}