جزئیات آسیبپذیری
CVE-2025-58756
MONAI's unsafe torch usage may lead to arbitrary code execution
شرح رسمی (انگلیسی)
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available.
امتیازهای CVSS
| امتیاز | نسخه | منبع | بردار |
|---|---|---|---|
| 8.8بالا | 3.1 | CVEProject cvelistV5 (CNA) (GitHub_M) | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
محصولات آسیبپذیر
| فروشنده | محصول | نسخهها | منبع |
|---|---|---|---|
| Project-MONAI | MONAI | <= 1.5.0 | CVEProject cvelistV5 (CNA) |
منابع و راهنماها
۱- https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj x_refsource_CONFIRM
اطلاعات
- تاریخ انتشار
- ۱۴۰۴/۰۶/۱۸
- آخرین بهروزرسانی
- ۱۴۰۴/۰۶/۱۸
- وضعیت
- منتشرشده
- صادرکننده (CNA)
- GitHub_M
پیشبینی بهرهبرداری (EPSS)
ارزیابی SSVC (CISA)
- قابل خودکارسازی
- خیر
- وضعیت بهرهبرداری
- ندارد
- اثر فنی
- کامل
ضعفها (CWE)
- CWE-502Deserialization of Untrusted Data