{"id":64034,"date":"2025-08-13T21:10:49","date_gmt":"2025-08-13T21:10:49","guid":{"rendered":""},"modified":"2025-10-03T06:13:46","modified_gmt":"2025-10-03T12:13:46","slug":"cve-2025-30405-executorch-integer-overflow-vulnerability-could-lead-to-system-compromise","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-30405-executorch-integer-overflow-vulnerability-could-lead-to-system-compromise\/","title":{"rendered":"CVE-2025-30405: ExecuTorch Integer Overflow Vulnerability Could Lead to System Compromise<\/strong>"},"content":{"rendered":"

Overview<\/strong><\/p>\n

We are examining a critical vulnerability identified as CVE-2025-30405, which affects the loading of ExecuTorch models. This vulnerability is due to an integer overflow that can lead to objects being placed outside their allocated memory area. Consequently, this can potentially result in unauthorized code<\/a> execution or other undesirable effects. This issue is particularly alarming because it poses a severe risk to any system utilizing ExecuTorch<\/a> prior to the specified commit. It is of utmost importance due to its potential for system<\/a> compromise and data leakage.<\/p>\n

Vulnerability Summary<\/strong><\/p>\n

CVE ID: CVE-2025-30405
\nSeverity: Critical (CVSS 9.8)
\nAttack Vector: Local\/Remote
\nPrivileges Required: None
\nUser Interaction: Required
\nImpact: System compromise<\/a>, Potential data leakage<\/p>\n

Affected Products<\/strong><\/p>\n

Product | Affected Versions<\/p>\n

ExecuTorch | Prior to commit 0830af8207240df8d7f35b984cdf8bc35d74fa73<\/p>\n

How the Exploit Works<\/strong><\/p>\n

An attacker exploiting this vulnerability would take advantage of the integer overflow<\/a> in the loading of ExecuTorch models. The overflow occurs when the size of an object exceeds its allocated memory space, allowing the attacker to place malicious<\/a> objects outside this area. This misplaced object can then be used to execute code<\/a> or cause other undesired effects. The vulnerability can be exploited locally or remotely<\/a>, and while user interaction is required, no special privileges are needed, increasing its potential impact.<\/p>\n

Conceptual Example Code<\/strong><\/p>\n

Here’s a conceptual example of how the vulnerability might be exploited. This pseudocode outlines how an attacker might overflow the integer<\/a> during the loading of an ExecuTorch model:<\/p>\n

# Attacker creates an oversized model\nmodel = execuTorch.Model()\nmodel.size = 2**31 # Size exceeding the max integer\n# Attacker loads the oversized model\nmodel.load()\n# Overflow occurs, allowing attacker to place malicious objects outside allocated memory area\nmalicious_object = Malicious()\nmodel.place(malicious_object)\n# Malicious object can potentially execute unauthorized code or cause other undesirable effects\nmalicious_object.execute()<\/code><\/pre>\n
Please note that this is a theoretical example and the actual exploit might be more complex and require in-depth knowledge of the target system and the ExecuTorch<\/a> software.<\/p>\n","protected":false},"excerpt":{"rendered":"
Overview We are examining a critical vulnerability identified as CVE-2025-30405, which affects the loading of ExecuTorch models. This vulnerability is due to an integer overflow that can lead to objects being placed outside their allocated memory area. Consequently, this can potentially result in unauthorized code execution or other undesirable effects. This issue is particularly alarming […]<\/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":[1],"tags":[],"vendor":[],"product":[],"attack_vector":[],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-64034","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t