RCE via Property/Class Pollution in lightning-ai/pytorch-lightning
Description
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.
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LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
lightningPyPI | < 2.3.3 | 2.3.3 |
Affected products
2- Range: unspecified
Patches
Vulnerability mechanics
References
6- github.com/advisories/GHSA-cgwc-qvrx-rf7fghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2024-5452ghsaADVISORY
- github.com/Lightning-AI/pytorch-lightning/issues/20038ghsaWEB
- github.com/Lightning-AI/pytorch-lightning/releases/tag/2.3.3ghsaWEB
- github.com/lightning-ai/pytorch-lightning/commit/330af381de88cff17515418a341cbc1f9f127f9aghsaWEB
- huntr.com/bounties/486add92-275e-4a7b-92f9-42d84bc759daghsaWEB
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