Cyber Resilience

CVE-2025-43299

Apple Macos 14.0 – 14.8

Published
15 September 2025
Modified
02 April 2026
Patch / advisory
CVSS Score v3.1 5.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
EPSS Score 0.0022 12th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2025-43299 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Apple Macos. Its CVSS base score is 5.5 (Medium).

Operationally, ranked at the 12th 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 SC-5 (Denial-of-service Protection) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A denial-of-service issue was addressed with improved validation. This issue is fixed in iOS 18.7 and iPadOS 18.7, macOS Sequoia 15.7, macOS Sonoma 14.8, macOS Tahoe 26. An app may be able to cause a denial-of-service.

CWE(s)

Related Threats

CVEs Like This One

CVE-2026-28894Same product: Apple Ipados
CVE-2026-39868Same product: Apple Ipados
CVE-2026-43722Same product: Apple Ipados
CVE-2026-43724Same product: Apple Ipados
CVE-2026-28936Same product: Apple Ipados
CVE-2023-28200Same product: Apple Ipados
CVE-2026-43708Same product: Apple Ipados
CVE-2026-43725Same product: Apple Ipados
CVE-2026-20643Same product: Apple Ipados
CVE-2026-20686Same product: Apple Ipados

Affected Assets

apple
ipados
≤ 18.7
apple
iphone os
≤ 18.7
apple
macos
14.0 — 14.8 · 15.0 — 15.7

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-10 Information Input Validation
  • SC-5 Denial-of-service Protection
  • SI-11 Error Handling
Detect
Catch it (NIST detect / respond)

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

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires validation of all input to the system, which would have prevented the malformed data that triggered the DoS condition described in CVE-2025-43299.

prevent

Mandates protection mechanisms that limit or block denial-of-service effects, directly mitigating the resource-exhaustion outcome of the input-validation flaw.

prevent

Requires the system to handle error conditions gracefully instead of allowing invalid input to cause a crash or resource exhaustion.

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