CVE-2024-5452: RCE via Property/Class Pollution in lightning-ai/pytorch-lightning
A remote code execution (RCE) vulnerability exists in the lightning-ai/pytorch-lightning library version 2.2.1 due to improper handling of deserialized user input and mismanagement of dunder attributes by the deepdiff library. The library uses deepdiff.Delta objects to modify application state based on frontend actions. However, it is possible to bypass the intended restrictions on modifying dunder attributes, allowing an attacker to construct a serialized delta that passes the deserializer whitelist and contains dunder attributes. When processed, this can be exploited to access other modules, classes, and instances, leading to arbitrary attribute write and total RCE on any self-hosted pytorch-lightning application in its default configuration, as the delta endpoint is enabled by default.
Affected Software
Remediation
Recommended actions to resolve this vulnerability, in priority order.
- Upgrade
Upgrade
pip/lightningto a version that resolves this vulnerability.Fixed in 2.3.3
Event History
Frequently Asked Questions
What is the severity of CVE-2024-5452?
CVE-2024-5452 has a high severity rating due to its potential for remote code execution.
How can I fix CVE-2024-5452?
To fix CVE-2024-5452, upgrade the lightning-ai/pytorch-lightning library to version 2.3.3 or later.
What causes the CVE-2024-5452 vulnerability?
CVE-2024-5452 is caused by improper handling of deserialized user input and mismanagement of dunder attributes within the deepdiff library.
Which software versions are affected by CVE-2024-5452?
CVE-2024-5452 affects lightning-ai/pytorch-lightning versions prior to 2.3.3.
Is CVE-2024-5452 related to specific libraries?
Yes, CVE-2024-5452 is related to the improper use of the deepdiff library within the pytorch-lightning framework.