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THREATINT
PUBLISHED

CVE-2024-5452

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.

Reserved 2024-05-28 | Published 2024-06-06 | Updated 2024-08-09 | Assigner @huntr_ai


CRITICAL: 9.8CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Problem types

CWE-915 Improperly Controlled Modification of Dynamically-Determined Object Attributes

Product status

Any version
affected

References

huntr.com/bounties/486add92-275e-4a7b-92f9-42d84bc759da

cve.org (CVE-2024-5452)

nvd.nist.gov (CVE-2024-5452)

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