What is the CVSS score of CVE-2022-25619?

CVE-2022-25619 has a CVSS 3.1 base score of 6.7 (Medium). CVSS vector: CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.3%.

Sambabox CVE-2022-25619

MEDIUM

Command Injection (CWE-77)

2022-03-30 cve@profelis.com.tr

RCE Command Injection Sambabox

6.7

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

6.7 MEDIUM

AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Local

Attack Complexity

Low

Privileges Required

High

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Mar 30, 2022 - 15:15 nvd

MEDIUM 6.7

DescriptionNVD

Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in ping tool of Profelis IT Consultancy SambaBox allows AUTHENTICATED user to cause run arbitrary code. This issue affects: Profelis IT Consultancy SambaBox 4.0 version 4.0 and prior versions on x86.

AnalysisAI

Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in ping tool of Profelis IT Consultancy SambaBox allows AUTHENTICATED user to cause run arbitrary. Rated medium severity (CVSS 6.7), this vulnerability is low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as Command Injection (CWE-77), which allows attackers to inject arbitrary commands into system command execution. Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in ping tool of Profelis IT Consultancy SambaBox allows AUTHENTICATED user to cause run arbitrary code. This issue affects: Profelis IT Consultancy SambaBox 4.0 version 4.0 and prior versions on x86. Affected products include: Profelis Sambabox. Version information: version 4.0.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Use parameterized APIs, avoid shell execution, validate input with strict allowlists.