CVE-2024-28212
Published: 07 March 2024
Summary
CVE-2024-28212 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Naver Ngrinder. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 8.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
nGrinder versions prior to 3.5.9 incorporate an outdated release of the SnakeYAML library. This exposes the application to unsafe deserialization of untrusted data, tracked as CWE-502, and carries a CVSS 3.1 base score of 9.8 reflecting network attack vector, low complexity, and no required credentials or user interaction.
A remote attacker can supply a malicious YAML payload that the affected nGrinder instance will deserialize, resulting in arbitrary code execution on the server with full confidentiality, integrity, and availability impact.
The associated EPSS score has remained flat at 0.0704 with no material increase since disclosure. No additional real-world exploitation details or mitigation guidance appear in the supplied references.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-25331
Vulnerability details
nGrinder before 3.5.9 uses old version of SnakeYAML, which could allow remote attacker to execute arbitrary code via unsafe deserialization.
- 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.