https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Fri, 23 Oct 2026 22:42:29 +0000 https://cve.radiocsirt.org/vuln/bdu:2024-04435 bdu:2024-04435 https://cve.radiocsirt.org/vuln/bdu:2024-04435 https://cve.radiocsirt.org/vuln/fkie_cve-2024-5480 <p>Rejected reason: This CVE ID has been rejected or withdrawn by its CVE Numbering Authority.</p> <p>Rejected reason: This CVE ID has been rejected or withdrawn by its CVE Numbering Authority.</p> https://cve.radiocsirt.org/vuln/fkie_cve-2024-5480 https://cve.radiocsirt.org/vuln/ghsa-7rxh-xq45-8wr4 <p>A vulnerability in the PyTorch&#39;s torch.distributed.rpc framework, specifically in versions prior to 2.2.2, allows for remote code execution (RCE). The framework, which is used in distributed training scenarios, does not properly verify the functions being called during RPC (Remote Procedure Call) operations. This oversight permits attackers to execute arbitrary commands by leveraging built-in Python functions such as eval during multi-cpu RPC communication. The vulnerability arises from the lack of restriction on function calls when a worker node serializes and sends a PythonUDF (User Defined Function) to the master node, which then deserializes and executes the function without validation. This flaw can be exploited to compromise master nodes initiating distributed training, potentially leading to the theft of sensitive AI-related data.</p> <p>A vulnerability in the PyTorch&#39;s torch.distributed.rpc framework, specifically in versions prior to 2.2.2, allows for remote code execution (RCE). The framework, which is used in distributed training scenarios, does not properly verify the functions being called during RPC (Remote Procedure Call) operations. This oversight permits attackers to execute arbitrary commands by leveraging built-in Python functions such as eval during multi-cpu RPC communication. The vulnerability arises from the lack of restriction on function calls when a worker node serializes and sends a PythonUDF (User Defined Function) to the master node, which then deserializes and executes the function without validation. This flaw can be exploited to compromise master nodes initiating distributed training, potentially leading to the theft of sensitive AI-related data.</p> https://cve.radiocsirt.org/vuln/ghsa-7rxh-xq45-8wr4 https://cve.radiocsirt.org/vuln/ubuntu-cve-2024-5480 <p><strong>Withdrawn by the publisher.</strong></p> <p><strong>Affected:</strong> Ubuntu:22.04:LTS: pytorch, Ubuntu:25.04: pytorch</p> <p>A vulnerability in the PyTorch&#39;s torch.distributed.rpc framework, specifically in versions prior to 2.2.2, allows for remote code execution (RCE). The framework, which is used in distributed training scenarios, does not properly verify the functions being called during RPC (Remote Procedure Call) operations. This oversight permits attackers to execute arbitrary commands by leveraging built-in Python functions such as eval during multi-cpu RPC communication. The vulnerability arises from the lack of restriction on function calls when a worker node serializes and sends a PythonUDF (User Defined Function) to the master node, which then deserializes and executes the function without validation. This flaw can be exploited to compromise master nodes initiating distributed training, potentially leading to the theft of sensitive AI-related data.</p> <p><strong>Withdrawn by the publisher.</strong></p> <p><strong>Affected:</strong> Ubuntu:22.04:LTS: pytorch, Ubuntu:25.04: pytorch</p> <p>A vulnerability in the PyTorch&#39;s torch.distributed.rpc framework, specifically in versions prior to 2.2.2, allows for remote code execution (RCE). The framework, which is used in distributed training scenarios, does not properly verify the functions being called during RPC (Remote Procedure Call) operations. This oversight permits attackers to execute arbitrary commands by leveraging built-in Python functions such as eval during multi-cpu RPC communication. The vulnerability arises from the lack of restriction on function calls when a worker node serializes and sends a PythonUDF (User Defined Function) to the master node, which then deserializes and executes the function without validation. This flaw can be exploited to compromise master nodes initiating distributed training, potentially leading to the theft of sensitive AI-related data.</p> https://cve.radiocsirt.org/vuln/ubuntu-cve-2024-5480 https://cve.radiocsirt.org/vuln/wid-sec-w-2024-1323 <p>Ein entfernter, anonymer Angreifer kann eine Schwachstelle in PyTorch ausnutzen, um beliebigen Programmcode auszuführen.</p> <p>Ein entfernter, anonymer Angreifer kann eine Schwachstelle in PyTorch ausnutzen, um beliebigen Programmcode auszuführen.</p> https://cve.radiocsirt.org/vuln/wid-sec-w-2024-1323