CVE-2024-47072
Published: 08 November 2024
Summary
CVE-2024-47072 is a high-severity Stack-based Buffer Overflow (CWE-121) vulnerability in Github (inferred from references). Its CVSS base score is 7.5 (High).
Operationally, ranked at the 49.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-3262
Vulnerability details
XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to terminate the application with a stack overflow error resulting in a denial of service only by manipulating the processed…
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input stream when XStream is configured to use the BinaryStreamDriver. XStream 1.4.21 has been patched to detect the manipulation in the binary input stream causing the the stack overflow and raises an InputManipulationException instead. Users are advised to upgrade. Users unable to upgrade may catch the StackOverflowError in the client code calling XStream if XStream is configured to use the BinaryStreamDriver.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.