CVE-2015-8530
6.5 · MEDIUMOverview
CVE-2015-8530 is a medium-severity vulnerability affecting ibm spss_statistics. It was published on May 14, 2016 and has a CVSS 3.0 base score of 6.5 (MEDIUM).
This vulnerability has a CVSS 3.0 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
Stack-based buffer overflow in the Initialize function in an ActiveX control in IBM SPSS Statistics 19 and 20 before 20.0.0.2-IF0008, 21 before 21.0.0.2-IF0010, 22 before 22.0.0.2-IF0011, 23 before 23.0.0.3-IF0001, and 24 before 24.0.0.0-IF0003 allows remote authenticated users to execute arbitrary code via a long argument.
Remediation
Check the references section for vendor advisories and patches from ibm. Update spss_statistics 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 |
|---|---|---|---|
| ibm | spss_statistics | 19.0.0.0 | Affected |
Frequently Asked Questions
What is CVE-2015-8530?
CVE-2015-8530 is a medium-severity vulnerability affecting ibm spss_statistics. It was published on May 14, 2016 and has a CVSS 3.0 base score of 6.5 (MEDIUM).
How severe is CVE-2015-8530?
This vulnerability has a CVSS 3.0 base score of 6.5, 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-2015-8530?
Check the references section for vendor advisories and patches from ibm. Update spss_statistics 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-2015-8530?
CyberStrike's AI-powered security agents can automatically detect CVE-2015-8530 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.
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