Cyber Resilience

CVE-2020-25717

High

Published: 18 February 2022

Published
18 February 2022
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 8.1 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
EPSS Score 0.0052 67.1th percentile
Risk Priority 17 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2020-25717 is a high-severity Improper Input Validation (CWE-20) vulnerability in Canonical Ubuntu Linux. Its CVSS base score is 8.1 (High).

Operationally, ranked in the top 32.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A flaw was found in the way Samba maps domain users to local users. An authenticated attacker could use this flaw to cause possible privilege escalation.

CWE(s)

Related Threats

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

Affected Assets

samba
samba
3.0.0 — 4.13.14 · 4.14.0 — 4.14.10 · 4.15.0 — 4.15.2
debian
debian linux
10.0, 9.0
fedoraproject
fedora
33, 34, 35
redhat
codeready linux builder
all versions
redhat
gluster storage
3.0, 3.5
redhat
openstack
13, 16.1, 16.2
redhat
virtualization
4.0
redhat
virtualization host
4.0
redhat
enterprise linux
7.0, 8.0
redhat
enterprise linux desktop
7.0
+15 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