Cyber Resilience

CVE-2022-28763

High

Published: 31 October 2022

Published
31 October 2022
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 8.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score 0.0094 76.6th percentile
Risk Priority 18 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-28763 is a high-severity Improper Input Validation (CWE-20) vulnerability in Zoom Meetings. Its CVSS base score is 8.8 (High).

Operationally, ranked in the top 23.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

The Zoom Client for Meetings (for Android, iOS, Linux, macOS, and Windows) before version 5.12.2 is susceptible to a URL parsing vulnerability. If a malicious Zoom meeting URL is opened, the malicious link may direct the user to connect to…

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an arbitrary network address, leading to additional attacks including session takeovers.

CWE(s)

Related Threats

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

Affected Assets

zoom
meetings
≤ 5.12.2 · ≤ 5.12.2 · ≤ 5.12.2
zoom
rooms for conference rooms
≤ 5.12.2 · ≤ 5.12.2 · ≤ 5.12.2
zoom
virtual desktop infrastructure
≤ 5.12.2

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 CWE-601

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

addresses: CWE-601

Security awareness includes verifying URLs and avoiding untrusted redirects that lead to malicious sites.

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

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

References