CVE-2026-31222
Quick assessment
Affected
n/a n/a
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.
Snorkel是Snorkel开源的一种利用弱监督快速生成训练数据的系统。 snorkel v0.10.0及之前版本存在安全漏洞，该漏洞源于Trainer类中的Trainer.load()方法使用torch.load()加载模型检查点文件时未启用weights_only=True参数，导致不安全的反序列化，远程攻击者可通过提供恶意构造的模型文件导致任意代码执行。
Possible ATT&CK Techniques 1 AI
T1190 · Exploit Public-Facing Application
Get alerts for future matching vulnerabilities
Log in to subscribe
I. Basic Information for CVE-2026-31222
Vulnerability Information
Have questions about the vulnerability? See if Shenlong's analysis helps!
View Shenlong Deep Dive ↗
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.
Vulnerability Title
N/A
Source: CVE Program / CVE List V5
Vulnerability Description
The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Trainer.load() method of the Trainer class. The method loads model checkpoint files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method.
Source: CVE Program / CVE List V5
CVSS Information
N/A
Source: CVE Program / CVE List V5
Vulnerability Type
N/A
Source: CVE Program / CVE List V5
Vulnerability Title
Snorkel 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Snorkel是Snorkel开源的一种利用弱监督快速生成训练数据的系统。 snorkel v0.10.0及之前版本存在安全漏洞，该漏洞源于Trainer类中的Trainer.load()方法使用torch.load()加载模型检查点文件时未启用weights_only=True参数，导致不安全的反序列化，远程攻击者可通过提供恶意构造的模型文件导致任意代码执行。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
| Vendor | Product | Affected Versions | CPE | Subscribe |
|---|---|---|---|---|
| - | n/a | n/a | - |
|
II. Public POCs for CVE-2026-31222
| # | POC Description | Source Link | Shenlong Link |
|---|
AI-Generated POC
Premium
No public POC found.
Login to generate AI POCIII. Intelligence Information for CVE-2026-31222
请登录查看更多情报信息。
Security Blog Posts for CVE-2026-31222 (1)
Other References for CVE-2026-31222 (1)
Same Patch Batch · n/a · 2026-05-12 · 60 CVEs total
| CVE-2026-20754 | Intel NPU Drivers 代码问题漏洞 | |
| CVE-2026-20714 | Intel QAT software drivers for Windows 缓冲区错误漏洞 | |
| CVE-2025-35991 | Intel Xeon Scalable Processors 安全漏洞 | |
| CVE-2025-35990 | Intel Endpoint Management Assistant 输入验证错误漏洞 | |
| CVE-2025-35979 | Intel Processors 安全漏洞 | |
| CVE-2025-36510 | Intel Display Virtualization for Windows OS driver 缓冲区错误漏洞 | |
| CVE-2026-20793 | Intel QAT software drivers for Windows 安全漏洞 | |
| CVE-2026-20782 | Intel QAT software drivers for Windows 安全漏洞 | |
| CVE-2026-20772 | Intel Connectivity Performance Suite 代码问题漏洞 | |
| CVE-2026-20771 | Intel QAT software drivers for Windows 代码问题漏洞 | |
| CVE-2026-20794 | Intel Data Center Graphics Driver 安全漏洞 | |
| CVE-2026-20753 | Intel Slim Bootloader 输入验证错误漏洞 | |
| CVE-2026-20751 | Intel Data Center Graphics Driver 缓冲区错误漏洞 | |
| CVE-2026-20738 | Intel QuickAssist Adapter 8960 安全漏洞 | |
| CVE-2026-20718 | Intel NPU Driver for Linux和Intel NPU Driver for Windows 安全漏洞 | |
| CVE-2026-20717 | Intel QAT software drivers for Windows 输入验证错误漏洞 | |
| CVE-2025-65719 | kubectl-mcp-server 安全漏洞 | |
| CVE-2025-70842 | FluentCMS 跨站脚本漏洞 | |
| CVE-2026-31239 | Mamba 安全漏洞 | |
| CVE-2026-31236 | LLM 安全漏洞 |
Showing top 20 of 60 CVEs. View all on vendor page → →
IV. Related Vulnerabilities
V. Comments for CVE-2026-31222
No comments yet