CVE-2024-27322

Deserialization of untrusted data can occur in the R statistical programming language, on any version starting at 1.4.0 up to and not including 4.4.0, enabling a maliciously crafted RDS (R Data Serialization) formatted file or R package to run arbitrary code on an end user’s system when interacted with.

Weakness

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

Affected Software

Name	Vendor	Start Version	End Version
R-base	Ubuntu	esm-apps/bionic	*
R-base	Ubuntu	esm-apps/focal	*
R-base	Ubuntu	esm-apps/jammy	*
R-base	Ubuntu	esm-apps/noble	*
R-base	Ubuntu	esm-apps/xenial	*
R-base	Ubuntu	esm-infra-legacy/trusty	*
R-base	Ubuntu	focal	*
R-base	Ubuntu	jammy	*
R-base	Ubuntu	noble	*
R-base	Ubuntu	trusty/esm	*
R-base	Ubuntu	upstream	*

Potential Mitigations

Make fields transient to protect them from deserialization.
An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.

https://cwe.mitre.org/data/definitions/586.html

NVD	https://nvd.nist.gov/vuln/detail/CVE-2024-27322
CWE	https://cwe.mitre.org/data/definitions/502.html

Deserialization of Untrusted Data

Weakness

Affected Software

Potential Mitigations

References

CVE-2024-27322

Deserialization of Untrusted Data

Weakness

Affected Software

Potential Mitigations

Related Attack Patterns

References