CVE-2017-1768:IBM Security Guardium Big Data Intelligence (SonarG) 3.1 Information Disclosure Vulnerability

splash
Back

Description Preview

IBM Security Guardium Big Data Intelligence (SonarG) 3.1 contains a vulnerability where the application generates error messages that include sensitive information about its environment, users, or associated data. This information disclosure vulnerability (CWE-200) could potentially allow attackers to gather information that might be used in further attacks against the system.

Overview

The vulnerability affects IBM Security Guardium Big Data Intelligence (SonarG) version 3.1. When certain error conditions occur, the application reveals sensitive information in error messages that should not be exposed to users. This information could include details about the system environment, user data, or other confidential information that could aid attackers in planning more targeted attacks. The vulnerability has been assigned IBM X-Force ID: 136471 and is categorized as CWE-200 (Information Exposure).

Remediation

Users should apply the security patch provided by IBM in the referenced security bulletin. The patch addresses the information disclosure vulnerability by modifying how error messages are generated and displayed, ensuring sensitive information is not revealed. Organizations using IBM Security Guardium Big Data Intelligence (SonarG) 3.1 should prioritize this update to protect their systems from potential information leakage. Until the patch can be applied, administrators should monitor system logs for unusual activity and limit access to error messages where possible.

References

  1. IBM Security Bulletin: http://www.ibm.com/support/docview.wss?uid=swg22016515
  2. SecurityFocus BID: 104493 - http://www.securityfocus.com/bid/104493
  3. IBM X-Force Advisory: https://exchange.xforce.ibmcloud.com/vulnerabilities/136471

Industry ExposureMost to least
This section illustrates the prevalence of a specific Common Vulnerabilities and Exposures (CVE) across various industries based on customer reports. The ranking displays industries from the most to least affected by this particular vulnerability, offering valuable insight into where this CVE has been most frequently observed. This information can help organizations within these sectors prioritize their security efforts, understand their relative risk exposure compared to their peers, and focus remediation strategies where they are most needed. By understanding the industry-specific impact, organizations can make more informed decisions regarding patching, resource allocation, and overall risk management related to this CVE.

  1. Accommodation & Food Services
    Accommodation & Food Services
  2. Administrative, Support, Waste Management & Remediation Services
    Administrative, Support, Waste Management & Remediation Services
  3. Agriculture, Forestry Fishing & Hunting
    Agriculture, Forestry Fishing & Hunting
  4. Arts, Entertainment & Recreation
    Arts, Entertainment & Recreation
  5. Construction
    Construction
  6. Educational Services
    Educational Services
  7. Finance and Insurance
    Finance and Insurance
  8. Health Care & Social Assistance
    Health Care & Social Assistance
  9. Information
    Information
  10. Management of Companies & Enterprises
    Management of Companies & Enterprises
  11. Manufacturing
    Manufacturing
  12. Mining
    Mining
  13. Other Services (except Public Administration)
    Other Services (except Public Administration)
  14. Professional, Scientific, & Technical Services
    Professional, Scientific, & Technical Services
  15. Public Administration
    Public Administration
  16. Real Estate Rental & Leasing
    Real Estate Rental & Leasing
  17. Retail Trade
    Retail Trade
  18. Transportation & Warehousing
    Transportation & Warehousing
  19. Utilities
    Utilities
  20. Wholesale Trade
    Wholesale Trade

Focus on What Matters

  1. See Everything.
  2. Identify True Risk.
  3. Proactively Mitigate Threats.

Let's talk!

background
Armis Vulnerability Intelligence Database