lightning-ai pytorch-lightning dynamically-determined object attributes

Summaryinfo

A vulnerability identified as very critical has been detected in lightning-ai pytorch-lightning. This affects an unknown function. Performing a manipulation results in dynamically-determined object attributes. This vulnerability is reported as CVE-2024-5452. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in lightning-ai pytorch-lightning (affected version not known). It has been classified as very critical. This affects some unknown functionality. The manipulation with an unknown input leads to a dynamically-determined object attributes vulnerability. CWE is classifying the issue as CWE-915. The product receives input from an upstream component that specifies multiple attributes, properties, or fields that are to be initialized or updated in an object, but it does not properly control which attributes can be modified. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

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.

The advisory is shared at huntr.com. This vulnerability is uniquely identified as CVE-2024-5452 since 05/28/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/10/2024).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

• Artificial Intelligence Software

Vendor

• lightning-ai

Name

• pytorch-lightning

CPE 2.3info

• 🔍

CPE 2.2info

• 🔍

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Entryinfo

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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