RCE via Property/Class Pollution in lightning-ai/pytorch-lightning
53Vexday Risk Score
No sign of exploitation. It has a public proof of concept.
ssvc Attendcvss 9.8epss 26%
from disclosure to weapon248 days
Published on NVDJun 6
1st PoC+248d
exploitation probability
26%top 2% of all CVEs
observed exploitation
nono source reports it
1 public exploit(s)
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.
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Affected products
lightning-ai · lightning-ai/pytorch-lightningpublic PoCs found — 1
githubgithub.com/skrkcb2/CVE-2024-5452★ 0⚠ Public resources, to assess the exposure of systems you control or are authorized to test. Test only with authorization.