CVE-2026-31239
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.
Mamba是state-spaces开源的一款线性时间序列建模的状态空间模型。 mamba 2.2.6及之前版本存在安全漏洞，该漏洞源于MambaLMHeadModel.from_pretrained()方法使用torch.load()加载权重文件时未启用weights_only=True参数，可能导致攻击者通过发布恶意模型仓库在受害者系统上执行任意代码。
Possible ATT&CK Techniques 2 AI
T1059 · Command and Scripting Interpreter T1203 · Exploitation for Client Execution
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I. Basic Information for CVE-2026-31239
Vulnerability Information
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Vulnerability Title
N/A
Source: CVE Program / CVE List V5
Vulnerability Description
The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization (CWE-502) when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by publishing a malicious model repository on HuggingFace Hub. When a victim loads a model from this repository, arbitrary code is executed on the victim's system in the context of the mamba process.
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
Mamba 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Mamba是state-spaces开源的一款线性时间序列建模的状态空间模型。 mamba 2.2.6及之前版本存在安全漏洞，该漏洞源于MambaLMHeadModel.from_pretrained()方法使用torch.load()加载权重文件时未启用weights_only=True参数，可能导致攻击者通过发布恶意模型仓库在受害者系统上执行任意代码。
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 | - |
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II. Public POCs for CVE-2026-31239
| # | POC Description | Source Link | Shenlong Link |
|---|
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Security Blog Posts for CVE-2026-31239 (1)
Other References for CVE-2026-31239 (1)
Same Patch Batch · n/a · 2026-05-12 · 60 CVEs total
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| 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 | |
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| CVE-2026-20794 | Intel Data Center Graphics Driver 安全漏洞 | |
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| 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-2026-31222 | Snorkel 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-2026-31239
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