Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2016-2957

4.3 · MEDIUM
Published Nov 30, 2016 ibm CWE-200 EPSS 1.15% (65th pctl)

Overview

CVE-2016-2957 is a medium-severity vulnerability affecting ibm connections. It was published on November 30, 2016 and has a CVSS 3.0 base score of 4.3 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 4.3, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

IBM Connections 4.0 through CR4, 4.5 through CR5, and 5.0 before CR4 allows remote authenticated users to obtain sensitive information by reading a stack trace in a response.

Remediation

Check the references section for vendor advisories and patches from ibm. Update connections to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status

Frequently Asked Questions

What is CVE-2016-2957?

CVE-2016-2957 is a medium-severity vulnerability affecting ibm connections. It was published on November 30, 2016 and has a CVSS 3.0 base score of 4.3 (MEDIUM).

How severe is CVE-2016-2957?

This vulnerability has a CVSS 3.0 base score of 4.3, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2016-2957?

Check the references section for vendor advisories and patches from ibm. Update connections to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2016-2957?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-2957 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.