Cyber Resilience

CVE-2022-3001

High

Published: 15 September 2022

Published
15 September 2022
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0101 77.5th percentile
Risk Priority 16 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-3001 is a high-severity Improper Input Validation (CWE-20) vulnerability in Milesight Video Management Systems Firmware. Its CVSS base score is 7.5 (High).

Operationally, ranked in the top 22.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

This vulnerability exists in Milesight Video Management Systems (VMS), all firmware versions prior to 40.7.0.79-r1, due to improper input handling at camera’s web-based management interface. A remote attacker could exploit this vulnerability by sending a specially crafted http request on…

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the targeted network camera. Successful exploitation of this vulnerability could allow the attacker to cause a Denial of Service condition on the targeted device.

CWE(s)

Related Threats

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

Affected Assets

milesight
video management systems firmware
40.7.0.79 · ≤ 40.7.0.79

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