Cyber Resilience

CVE-2023-22329

Intel Atom X6200Fe Firmware

Published
14 November 2023
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 2.6
Click a component to see what it means
Raw vectorCVSS:3.1/AV:A/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
EPSS Score 0.0030 22th percentile
Risk Priority 15 floored blend · peak EPSS

Summary

CVE-2023-22329 is a low-severity Improper Input Validation (CWE-20) vulnerability in Intel Atom X6200Fe Firmware. Its CVSS base score is 2.6 (Low).

Operationally, ranked at the 22th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Improper input validation in the BIOS firmware for some Intel(R) Processors may allow an authenticated user to potentially enable denial of service via adjacent access.

CWE(s)

Related Threats

CVEs Like This One

CVE-2023-25756Same product: Intel Atom X6200Fe
CVE-2023-22449Same vendor: Intel
CVE-2024-28947Same vendor: Intel
CVE-2023-25776Same vendor: Intel
CVE-2024-34163Same vendor: Intel
CVE-2024-31153Same vendor: Intel
CVE-2025-24299Same vendor: Intel
CVE-2023-29494Same vendor: Intel
CVE-2023-22379Same vendor: Intel
CVE-2023-25772Same vendor: Intel

Affected Assets

intel
atom x6200fe firmware
all versions
intel
atom x6211e firmware
all versions
intel
atom x6212re firmware
all versions
intel
atom x6413e firmware
all versions
intel
atom x6414re firmware
all versions
intel
atom x6425e firmware
all versions
intel
atom x6425re firmware
all versions
intel
atom x6427fe firmware
all versions
intel
celeron 1000m firmware
all versions
intel
celeron 1005m firmware
all versions
+619 more product configuration(s) — see NVD for full list

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)
  • 6 hardening rules · 3 OS baselines
Validate
Prove the fix (OWASP ASVS)

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-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

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.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require and enforce input validation during development.

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.

detects

Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.

prevents

Secure-coding guidelines and mandatory security testing (including code scans) compel developers to validate and sanitize inputs at design and implementation time, lowering the incidence of malformed or malicious data reaching downstream components.

prevents

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

prevents

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

none

Regular automated validation of system software and data content, combined with scanning of all inbound files, enforces input validation at the boundary before untrusted content is processed.

References