What is the CVSS score of CVE-2023-0164?

CVE-2023-0164 has a CVSS 3.1 base score of 8.8 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 1.4%.

Is there a public PoC exploit available for CVE-2023-0164?

Yes, a public proof-of-concept exploit is available for CVE-2023-0164. Prioritise patching immediately. EPSS: 1.4%.

Orangescrum CVE-2023-0164

HIGH

OS Command Injection (CWE-78)

2023-01-18 help@fluidattacks.com

Command Injection Orangescrum

8.8

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

8.8 HIGH

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Jan 18, 2023 - 22:15 nvd

HIGH 8.8

DescriptionNVD

OrangeScrum version 2.0.11 allows an authenticated external attacker to execute arbitrary commands on the server. This is possible because the application injects an attacker-controlled parameter into a system function.

AnalysisAI

OrangeScrum version 2.0.11 allows an authenticated external attacker to execute arbitrary commands on the server. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as OS Command Injection (CWE-78), which allows attackers to execute arbitrary operating system commands on the host. OrangeScrum version 2.0.11 allows an authenticated external attacker to execute arbitrary commands on the server. This is possible because the application injects an attacker-controlled parameter into a system function. Affected products include: Orangescrum. Version information: version 2.0.11.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Avoid passing user input to shell commands. Use language-specific APIs instead of shell execution. Apply strict input validation with allowlists.