CVE-2024-5480
PyTorch torch.distributed.rpc Remote Code Execution (RCE)
Description
Rejected reason: This CVE ID has been rejected or withdrawn by its CVE Numbering Authority.
INFO
Published Date :
June 6, 2024, 7:16 p.m.
Last Modified :
Oct. 2, 2024, 4:15 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
6.0
Exploitability Score :
3.9
Affected Products
The following products are affected by CVE-2024-5480
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-5480 vulnerability anywhere in the article.
-
Daily CyberSecurity
Critical PyTorch Vulnerability CVE-2025-32434 Allows Remote Code Execution
A critical vulnerability has been unearthed in PyTorch, one of the most beloved deep learning frameworks out there. Security researcher Ji’an Zhou has identified a critical Remote Command Execution (R ... Read more
The following table lists the changes that have been made to the
CVE-2024-5480 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Rejected by [email protected]
Oct. 02, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Oct. 02, 2024
Action Type Old Value New Value Changed Description A vulnerability in the PyTorch'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. Rejected reason: This CVE ID has been rejected or withdrawn by its CVE Numbering Authority. Removed Reference huntr.dev https://huntr.com/bounties/39811836-c5b3-4999-831e-46fee8fcade3 Removed CWE huntr.dev CWE-77 Removed CVSS V3 huntr.dev AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H -
CVE Translated by [email protected]
Oct. 02, 2024
Action Type Old Value New Value Removed Translation Title: PyTorch Description: Una vulnerabilidad en el framework torch.distributed.rpc de PyTorch, específicamente en versiones anteriores a la 2.2.2, permite la ejecución remota de código (RCE). El framework, que se utiliza en escenarios de capacitación distribuida, no verifica adecuadamente las funciones que se llaman durante las operaciones RPC (llamada a procedimiento remoto). Esta supervisión permite a los atacantes ejecutar comandos arbitrarios aprovechando las funciones integradas de Python, como la evaluación, durante la comunicación RPC entre múltiples CPU. La vulnerabilidad surge de la falta de restricción en las llamadas a funciones cuando un nodo trabajador serializa y envía una PythonUDF (función definida por el usuario) al nodo maestro, que luego deserializa y ejecuta la función sin validación. Esta falla puede explotarse para comprometer los nodos maestros que inician el entrenamiento distribuido, lo que podría conducir al robo de datos confidenciales relacionados con la IA. -
CVE Received by [email protected]
Jun. 06, 2024
Action Type Old Value New Value Added Description A vulnerability in the PyTorch'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. Added Reference huntr.dev https://huntr.com/bounties/39811836-c5b3-4999-831e-46fee8fcade3 [No types assigned] Added CWE huntr.dev CWE-77 Added CVSS V3 huntr.dev AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-5480 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2024-5480
weaknesses.