CVE Vulnerabilities

CVE-2024-7804

Deserialization of Untrusted Data

Published: Mar 20, 2025 | Modified: Mar 20, 2025
CVSS 3.x
N/A
Source:
NVD
CVSS 2.x
RedHat/V2
RedHat/V3
2.6 LOW
CVSS:3.0/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:L/A:N
Ubuntu
MEDIUM

A deserialization vulnerability exists in the Pytorch RPC framework (torch.distributed.rpc) in pytorch/pytorch versions <=2.3.1. The vulnerability arises from the lack of security verification during the deserialization process of PythonUDF objects in pytorch/torch/distributed/rpc/internal.py. This flaw allows an attacker to execute arbitrary code remotely by sending a malicious serialized PythonUDF object, leading to remote code execution (RCE) on the master node.

Weakness

The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

Extended Description

It is often convenient to serialize objects for communication or to save them for later use. However, deserialized data or code can often be modified without using the provided accessor functions if it does not use cryptography to protect itself. Furthermore, any cryptography would still be client-side security – which is a dangerous security assumption. Data that is untrusted can not be trusted to be well-formed. When developers place no restrictions on “gadget chains,” or series of instances and method invocations that can self-execute during the deserialization process (i.e., before the object is returned to the caller), it is sometimes possible for attackers to leverage them to perform unauthorized actions, like generating a shell.

Potential Mitigations

  • Make fields transient to protect them from deserialization.
  • An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.

References