PyTorch是PyTorch开源的一个 Python 包。 PyTorch Serve 0.1.0版本至0.8.1版本存在代码问题漏洞,该漏洞源于缺乏输入验证。
尽管我们使用了先进的大模型技术,但其输出仍可能包含不准确或过时的信息。神龙努力确保数据的准确性,但请您根据实际情况进行核实和判断。
| # | POC 描述 | 源链接 | 神龙链接 |
|---|---|---|---|
| 1 | A tool that checks if a TorchServe instance is vulnerable to CVE-2023-43654 | https://github.com/OligoCyberSecurity/ShellTorchChecker | POC详情 |
| 2 | Demo for CVE-2023-43654 - Remote Code Execution in PyTorch TorchServe | https://github.com/OligoCyberSecurity/CVE-2023-43654 | POC详情 |
| 3 | TorchServe is a tool for serving and scaling PyTorch models in production. TorchServe default configuration lacks proper input validation, enabling third parties to invoke remote HTTP download requests and write files to the disk. This issue could be taken advantage of to compromise the integrity of the system and sensitive data. This issue is present in versions 0.1.0 to 0.8.1. A user is able to load the model of their choice from any URL that they would like to use. The user of TorchServe is responsible for configuring both the allowed_urls and specifying the model URL to be used. A pull request to warn the user when the default value for allowed_urls is used has been merged in PR #2534. TorchServe release 0.8.2 includes this change. Users are advised to upgrade. There are no known workarounds for this issue. | https://github.com/projectdiscovery/nuclei-templates/blob/main/http/cves/2023/CVE-2023-43654.yaml | POC详情 |
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