Cyber Resilience

CVE-2023-35306

Medium

Published: 11 July 2023

Published
11 July 2023
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 5.5 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.0023 46.1th percentile
Risk Priority 11 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-35306 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Windows Server 2012. Its CVSS base score is 5.5 (Medium).

Operationally, ranked at the 46.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Microsoft PostScript and PCL6 Class Printer Driver Information Disclosure Vulnerability

CWE(s)

Related Threats

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

Affected Assets

microsoft
windows 10 1507
≤ 10.0.10240.20048
microsoft
windows 10 1607
≤ 10.0.14393.6085
microsoft
windows 10 1809
≤ 10.0.17763.4645
microsoft
windows 10 21h2
≤ 10.0.19041.3208
microsoft
windows 10 22h2
≤ 10.0.19045.3208
microsoft
windows 11 21h2
≤ 10.0.22000.2176
microsoft
windows 11 22h2
≤ 10.0.22621.1992
microsoft
windows server 2012
all versions, r2
microsoft
windows server 2016
all versions
microsoft
windows server 2019
all versions
+1 more product configuration(s) — see NVD for full list

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