{"id":64037,"date":"2025-08-14T00:11:44","date_gmt":"2025-08-14T00:11:44","guid":{"rendered":""},"modified":"2025-09-11T18:31:03","modified_gmt":"2025-09-12T00:31:03","slug":"cve-2025-54951-buffer-overflow-vulnerability-in-executorch-models-loading","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-54951-buffer-overflow-vulnerability-in-executorch-models-loading\/","title":{"rendered":"<strong>CVE-2025-54951: Buffer Overflow Vulnerability in ExecuTorch Models Loading<\/strong>"},"content":{"rendered":"<p><strong>Overview<\/strong><\/p>\n<p>The Common Vulnerabilities and Exposures (CVE) system has identified a severe security flaw, denoted as CVE-2025-54951, in the ExecuTorch Machine Learning Framework. This vulnerability stems from a group of related buffer overflow issues that arise during the loading of ExecuTorch models. If successfully exploited, these vulnerabilities could cause the runtime to crash, <a href=\"https:\/\/www.ameeba.com\/blog\/cve-2025-30327-integer-overflow-vulnerability-in-incopy-leading-to-potential-arbitrary-code-execution\/\"  data-wpil-monitor-id=\"73591\">potentially resulting in arbitrary code<\/a> execution or other undesirable effects. This issue is of significant concern to any organization or individual utilizing ExecuTorch <a href=\"https:\/\/www.ameeba.com\/blog\/cve-2025-55010-arbitrary-php-object-instantiation-in-kanboard-prior-to-version-1-2-47\/\"  data-wpil-monitor-id=\"78082\">versions prior<\/a> to commit cea9b23aa8ff78aff92829a466da97461cc7930c.<\/p>\n<p><strong>Vulnerability Summary<\/strong><\/p>\n<p>CVE ID: CVE-2025-54951<br \/>\nSeverity: Critical (9.8 CVSS Score)<br \/>\nAttack Vector: Network<br \/>\nPrivileges Required: None<br \/>\nUser Interaction: None<br \/>\nImpact: <a href=\"https:\/\/www.ameeba.com\/blog\/cve-2025-21432-memory-corruption-vulnerability-resulting-in-potential-system-compromise-or-data-leakage\/\"  data-wpil-monitor-id=\"76490\">System compromise or data<\/a> leakage<\/p>\n<p><strong>Affected Products<\/strong><\/p><div id=\"ameeb-3301251229\" 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: 720px;\">\r\n  <h2 style=\"margin-top: 0; font-size: 22px; font-weight: 600; display: flex; align-items: center; letter-spacing: -0.02em;\">\r\n    <a href=\"https:\/\/www.ameeba.com\/chat\" style=\"display: inline-flex; align-items: center; margin-right: 10px;\">\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: 42px; height: 42px;\" \/>\r\n    <\/a>\r\n    Share secrets securely\r\n  <\/h2>\r\n\r\n  <p style=\"margin-bottom: 14px; color: #d1d5db;\">\r\n    Ameeba is private infrastructure for communication and sensitive work built on encrypted identity instead of exposed corporate identity systems.\r\n  <\/p>\r\n\r\n  <p style=\"margin-bottom: 18px; color: #a1a1aa;\">\r\n    Passwords, credentials, confidential files, screenshots, internal discussions, sensitive AI context, and private coordination should not become exposed across ordinary communication platforms.\r\n  <\/p>\r\n\r\n  <ul style=\"list-style: none; padding-left: 0; margin-bottom: 24px; color: #e4e4e7;\">\r\n    <li style=\"margin-bottom: 8px;\">\u2022 Encrypted identity<\/li>\r\n    <li style=\"margin-bottom: 8px;\">\u2022 Private Spaces for organizations and teams<\/li>\r\n    <li style=\"margin-bottom: 8px;\">\u2022 End-to-end encrypted chat, calls, files, and notes<\/li>\r\n    <li style=\"margin-bottom: 8px;\">\u2022 Sensitive AI work and protected collaboration<\/li>\r\n    <li>\u2022 Built for information that cannot leak<\/li>\r\n  <\/ul>\r\n\r\n  <p style=\"font-style: italic; font-weight: 600; margin-bottom: 24px; color: #ffffff;\">\r\n    Our mission is to secure human work alongside AI.\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: 8px; font-weight: 500;\">\r\n      Download Ameeba\r\n    <\/a>\r\n\r\n    <a href=\"https:\/\/www.ameeba.com\/chat\" style=\"border: 1px solid #ffffff; color: #ffffff; padding: 10px 20px; text-decoration: none; border-radius: 8px; font-weight: 500;\">\r\n      Learn More\r\n    <\/a>\r\n  <\/div>\r\n<\/div><\/div>\n<p>Product | Affected Versions<\/p>\n<p>ExecuTorch | Prior to commit cea9b23aa8ff78aff92829a466da97461cc7930c<\/p>\n<p><strong>How the Exploit Works<\/strong><\/p>\n<p>This flaw exploits <a href=\"https:\/\/www.ameeba.com\/blog\/cve-2025-8184-critical-stack-based-buffer-overflow-vulnerability-in-d-link-dir-513\/\"  data-wpil-monitor-id=\"71778\">buffer overflow vulnerabilities<\/a> in the loading of ExecuTorch models. An attacker can craft a malicious model that, when loaded into the ExecuTorch runtime, <a href=\"https:\/\/www.ameeba.com\/blog\/cve-2025-7463-critical-buffer-overflow-vulnerability-in-tenda-fh1201-1-2-0-14\/\"  data-wpil-monitor-id=\"71839\">overflows the buffer<\/a>, causing a crash. This crash can then be leveraged to execute <a href=\"https:\/\/www.ameeba.com\/blog\/cve-2025-32451-memory-corruption-vulnerability-in-foxit-reader-leading-to-arbitrary-code-execution\/\"  data-wpil-monitor-id=\"74436\">arbitrary code<\/a> or trigger other undesirable effects. This does not require any user interaction or special privileges, making it a particularly <a href=\"https:\/\/www.ameeba.com\/blog\/cve-2025-53213-unrestricted-upload-of-file-with-dangerous-type-vulnerability-in-woocommerce-multi-carrier-conditional-shipping-plugin\/\"  data-wpil-monitor-id=\"81760\">dangerous vulnerability<\/a>.<\/p>\n<p><strong>Conceptual Example Code<\/strong><\/p><div id=\"ameeb-3897359735\" 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>Although the specifics of the exploit could vary, a conceptual example might look something like this:<\/p>\n<pre><code class=\"\" data-line=\"\"># Loading a maliciously crafted model\nmodel = torch.load(&#039;malicious_model.pth&#039;)\n# The model contains oversized tensors that cause a buffer overflow\n# when loaded into the ExecuTorch runtime.<\/code><\/pre>\n<p><strong>Mitigation<\/strong><\/p>\n<p>Users are strongly recommended to apply the vendor-supplied patch by updating their ExecuTorch to a version later than commit cea9b23aa8ff78aff92829a466da97461cc7930c. As a temporary mitigation, users can also implement a Web Application Firewall (WAF) or Intrusion Detection System (IDS) to detect and <a href=\"https:\/\/www.ameeba.com\/blog\/cve-2025-8059-critical-privilege-escalation-vulnerability-in-b-blocks-wordpress-plugin\/\"  data-wpil-monitor-id=\"76489\">block attempts to exploit this vulnerability<\/a>. However, this is a temporary measure and does not substitute updating to a patched version.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Overview The Common Vulnerabilities and Exposures (CVE) system has identified a severe security flaw, denoted as CVE-2025-54951, in the ExecuTorch Machine Learning Framework. This vulnerability stems from a group of related buffer overflow issues that arise during the loading of ExecuTorch models. If successfully exploited, these vulnerabilities could cause the runtime to crash, potentially resulting [&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":[1],"tags":[],"vendor":[],"product":[],"attack_vector":[86,80],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-64037","post","type-post","status-publish","format-standard","hentry","category-uncategorized","attack_vector-buffer-overflow","attack_vector-rce"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/posts\/64037","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=64037"}],"version-history":[{"count":7,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/posts\/64037\/revisions"}],"predecessor-version":[{"id":74220,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/posts\/64037\/revisions\/74220"}],"wp:attachment":[{"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/media?parent=64037"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/categories?post=64037"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/tags?post=64037"},{"taxonomy":"vendor","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/vendor?post=64037"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/product?post=64037"},{"taxonomy":"attack_vector","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/attack_vector?post=64037"},{"taxonomy":"asset_type","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/asset_type?post=64037"},{"taxonomy":"severity","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/severity?post=64037"},{"taxonomy":"exploit_status","embeddable":true,"href":"https:\/\/www.ameeba.com\/blog\/wp-json\/wp\/v2\/exploit_status?post=64037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}