CVE-2025-32434 Vulnerability Analysis & Exploit Details

CVE-2025-32434
Vulnerability Scoring

9.8

/10

Critical Risk

As a catastrophic security flaw, CVE-2025-32434 has severe implications, demanding immediate intervention.

Attack Complexity Details

Attack Complexity: Low
Exploits can be performed without significant complexity or special conditions.
Attack Vector: Network
Vulnerability is exploitable over a network without physical access.
Privileges Required: None
No privileges are required for exploitation.
Scope: Unchanged
Exploit remains within the originally vulnerable component.
User Interaction: None
No user interaction is necessary for exploitation.

CVE-2025-32434 Details

Status: Analyzed

Last updated: 🕐 28 May 2025, 13:14 UTC
Originally published on: 🕓 18 Apr 2025, 16:15 UTC

Time between publication and last update: 39 days

CVSS Release: version 3

CVSS3 Source

nvd@nist.gov

CVSS3 Type

Primary

CVSS3 Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

CVE-2025-32434 Vulnerability Summary

CVE-2025-32434: PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.

Assessing the Risk of CVE-2025-32434

Access Complexity Graph

The exploitability of CVE-2025-32434 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2025-32434

With low attack complexity and no required privileges, CVE-2025-32434 is an easy target for cybercriminals. Organizations should prioritize immediate mitigation measures to prevent unauthorized access and data breaches.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2025-32434, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2025-32434, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

Confidentiality: High
Exploiting CVE-2025-32434 can result in unauthorized access to sensitive data, severely compromising data privacy.
Integrity: High
CVE-2025-32434 could allow unauthorized modifications to data, potentially affecting system reliability and trust.
Availability: High
CVE-2025-32434 can disrupt system operations, potentially causing complete denial of service (DoS).

CVE-2025-32434 References

External References

https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6

CWE Common Weakness Enumeration

CWE-502

CAPEC Common Attack Pattern Enumeration and Classification

Object Injection CAPEC-586 An adversary attempts to exploit an application by injecting additional, malicious content during its processing of serialized objects. Developers leverage serialization in order to convert data or state into a static, binary format for saving to disk or transferring over a network. These objects are then deserialized when needed to recover the data/state. By injecting a malformed object into a vulnerable application, an adversary can potentially compromise the application by manipulating the deserialization process. This can result in a number of unwanted outcomes, including remote code execution.

Vulnerable Configurations

cpe:2.3:a:linuxfoundation:pytorch:-:*:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:-:*:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc4:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc4:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc5:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc5:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc6:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc6:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc7:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc7:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc8:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.0:rc8:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.1:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.1:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.1:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.1:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.1:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.1:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.1:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.1:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.2:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.2:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.2:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.2:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.2:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.2:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.2:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.2.2:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc10:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc10:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc11:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc11:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc12:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc12:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc4:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc4:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc5:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc5:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc6:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc6:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc7:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc7:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc8:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc8:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc9:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.0:rc9:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.1:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.1:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.1:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.1:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.1:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.1:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.1:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.3.1:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc4:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc4:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc5:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc5:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc6:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc6:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc7:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc7:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc8:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc8:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc9:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.0:rc9:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.1:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.1:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.1:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.1:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.1:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.1:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.1:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.4.1:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc10:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc10:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc2:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc3:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc4:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc4:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc5:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc5:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc6:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc6:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc7:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc7:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc8:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc8:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc9:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.0:rc9:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.1:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.1:-:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.1:rc1:*:*:*:python:*:*
cpe:2.3:a:linuxfoundation:pytorch:2.5.1:rc1:*:*:*:python:*:*

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