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CVE-2017-1211

2.5 · LOW
Published Oct 24, 2017 ibm CWE-200

Overview

CVE-2017-1211 is a low-severity vulnerability affecting ibm daeja_viewone. It was published on October 24, 2017 and has a CVSS 3.0 base score of 2.5 (LOW).

This vulnerability has a CVSS 3.0 base score of 2.5, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

IBM Daeja ViewONE Professional, Standard & Virtual 4.1.5.1 and 5.0.2 could disclose sensitive information to a local user when logging is enabled. IBM X-Force ID: 123851.

Remediation

Check the references section for vendor advisories and patches from ibm. Update daeja_viewone 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-2017-1211?

CVE-2017-1211 is a low-severity vulnerability affecting ibm daeja_viewone. It was published on October 24, 2017 and has a CVSS 3.0 base score of 2.5 (LOW).

How severe is CVE-2017-1211?

This vulnerability has a CVSS 3.0 base score of 2.5, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2017-1211?

Check the references section for vendor advisories and patches from ibm. Update daeja_viewone 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-2017-1211?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-1211 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.