What is the CVSS score of CVE-2015-7901?

CVE-2015-7901 has a CVSS 2.0 base score of 6.5 (Medium). CVSS vector: AV:N/AC:L/Au:S/C:P/I:P/A:P. EPSS exploitation probability: 7.3%.

Is there a public PoC exploit available for CVE-2015-7901?

Yes, a public proof-of-concept exploit is available for CVE-2015-7901. Prioritise patching immediately. EPSS: 7.3%.

Is there a patch available for CVE-2015-7901?

Yes, a patch is available for CVE-2015-7901. Update the affected software to the latest version immediately.

Mango Automation CVE-2015-7901

MEDIUM

OS Command Injection (CWE-78)

2015-10-28 ics-cert@hq.dhs.gov

Command Injection Mango Automation

6.5

CVSS 2.0 · NVD

Severity by source

NVD PRIMARY

6.5 MEDIUM

AV:N/AC:L/Au:S/C:P/I:P/A:P

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

AV:N/AC:L/Au:S/C:P/I:P/A:P

Attack Vector

Network

Attack Complexity

Low

Confidentiality

Integrity

Availability

Lifecycle Timeline

CVE Published

Oct 28, 2015 - 10:59 cve.org

MEDIUM 6.5

DescriptionCVE.org

Infinite Automation Mango Automation 2.5.x and 2.6.x through 2.6.0 build 430 allows remote authenticated users to execute arbitrary OS commands via unspecified vectors.

AnalysisAI

Infinite Automation Mango Automation 2.5.x and 2.6.x through 2.6.0 build 430 allows remote authenticated users to execute arbitrary OS commands via unspecified vectors. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, low attack complexity. Public exploit code 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. Infinite Automation Mango Automation 2.5.x and 2.6.x through 2.6.0 build 430 allows remote authenticated users to execute arbitrary OS commands via unspecified vectors. Affected products include: Infinite Automation Systems Mango Automation. Version information: through 2.6.0.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Avoid passing user input to shell commands. Use language-specific APIs instead of shell execution. Apply strict input validation with allowlists.