Cyber Resilience

CVE-2024-20733

Medium

Published: 15 February 2024

Published
15 February 2024
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 5.5 CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
EPSS Score 0.0044 63.8th percentile
Risk Priority 11 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-20733 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Apple Macos. Its CVSS base score is 5.5 (Medium).

Operationally, ranked in the top 36.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Acrobat Reader versions 20.005.30539, 23.008.20470 and earlier are affected by an Improper Input Validation vulnerability that could lead to an application denial-of-service. An attacker could leverage this vulnerability to cause the application to crash, resulting in a denial of service.…

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Exploitation of this issue requires user interaction in that a victim must open a malicious file.

CWE(s)

Related Threats

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

Affected Assets

adobe
acrobat dc
15.008.20082 — 23.008.20533
adobe
acrobat reader dc
15.008.20082 — 23.008.20533
adobe
acrobat
20.001.30005 — 20.005.30574
adobe
acrobat reader
20.001.30005 — 20.005.30574

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