Raw vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-52547 is a high-severity Improper Handling of Length Parameter Inconsistency (CWE-130) vulnerability in Huawei Curiem-Wfg9B Firmware. Its CVSS base score is 7.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Junk Data (T1001.001); ranked at the 2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-57172
Vulnerability Data
Huawei Matebook D16(Model: CREM-WXX9, BIOS: v2.26. Memory Corruption in SMI Handler of HddPassword SMM Module. This can be leveraged by a malicious OS attacker to corrupt data structures stored at the beginning of SMRAM and can potentially lead to code…
more
execution in SMM.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V3.5.5V4.2.1V4.2.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover length-parameter inconsistencies through targeted parsing tests.
Input validation enforces correct length-to-data consistency checks on parsed messages before processing.
Requiring documented secure-development standards and tools can mandate bounds-checked coding practices that avoid the weakness.
Memory-protection mechanisms limit the exploitability and blast radius of a successful out-of-bounds write.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Vulnerability scanning and recording can discover out-of-bounds write flaws so they can be remediated.
Patching or replacing vulnerable software directly eliminates known instances of this coding weakness.
Secure SDLC practices directly enforce length validation and input sanitization during coding and review.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.