Cyber Resilience

CVE-2024-39673

Medium

Published: 25 July 2024

Published
25 July 2024
Modified
18 September 2025
KEV Added
Patch
CVSS Score v3.1 6.8 CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
EPSS Score 0.0010 27.4th percentile
Risk Priority 14 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-39673 is a medium-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Huawei Harmonyos. Its CVSS base score is 6.8 (Medium).

Operationally, ranked at the 27.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Vulnerability of serialisation/deserialisation mismatch in the iAware module. Impact: Successful exploitation of this vulnerability may affect service confidentiality.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

huawei
emui
12.0.0, 13.0.0, 14.0.0
huawei
harmonyos
2.0.0, 2.1.0, 3.0.0, 3.1.0, 4.0.0

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.

addresses: CWE-502

Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.

addresses: CWE-502

Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.

addresses: CWE-502

Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.

addresses: CWE-502

Validates or rejects untrusted serialized data before deserialization occurs.

addresses: CWE-502

Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.

addresses: CWE-502

Integrity verification of serialized information can detect tampering before deserialization occurs.

addresses: CWE-502

Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.

References