CVE-2025-43533
Apple Ipados ≤ 26.2
Raw vector
CVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:HSummary
CVE-2025-43533 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Apple Ipados. Its CVSS base score is 5.7 (Medium).
Operationally, ranked at the 24th 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 SI-10 (Information Input Validation) and SC-41 (Port and I/O Device Access) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-203980
Vulnerability Data
The issue was addressed with improved bounds checks. This issue is fixed in iOS 18.7.5 and iPadOS 18.7.5, iOS 26.2 and iPadOS 26.2, macOS Sequoia 15.7.4, macOS Sonoma 14.8.4, macOS Tahoe 26.2, tvOS 26.2, visionOS 26.2, watchOS 26.2. A malicious…
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HID device may cause an unexpected process crash.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires validation of input from external sources such as HID devices, addressing the missing bounds checks that allow a malicious device to crash a process.
Restricts or authorizes access to I/O ports and devices, limiting the ability of an untrusted HID device to supply malformed input to the system.
Protects process memory from corruption caused by invalid or out-of-bounds data supplied by a malicious HID device, reducing crash impact.
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.
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.
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.
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.
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.
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.
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.
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.