Cyber Resilience

CVE-2024-23263

Medium

Published: 08 March 2024

Published
08 March 2024
Modified
02 April 2026
KEV Added
Patch
CVSS Score v3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N
EPSS Score 0.0037 58.9th percentile
Risk Priority 13 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-23263 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Fedoraproject Fedora. Its CVSS base score is 6.5 (Medium).

Operationally, ranked in the top 41.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A logic issue was addressed with improved validation. This issue is fixed in Safari 17.4, iOS 16.7.6 and iPadOS 16.7.6, iOS 17.4 and iPadOS 17.4, macOS Sonoma 14.4, tvOS 17.4, visionOS 1.1, watchOS 10.4. Processing maliciously crafted web content may…

more

prevent Content Security Policy from being enforced.

CWE(s)

Related Threats

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

Affected Assets

apple
safari
≤ 17.4
apple
ipados
≤ 16.7.6 · 17.0 — 17.4
apple
iphone os
≤ 16.7.6 · 17.0 — 17.4
apple
macos
14.0 — 14.4
apple
tvos
≤ 17.4
apple
visionos
≤ 1.1
apple
watchos
≤ 10.4
webkitgtk
webkitgtk
≤ 2.44.0
wpewebkit
wpe webkit
≤ 2.44.0
fedoraproject
fedora
38, 39, 40

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-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.

References