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-2017-3319

3.1 · LOW
Published Jan 27, 2017 oracle CWE-200 EPSS 1.35% (69th pctl)

Overview

CVE-2017-3319 is a low-severity vulnerability affecting oracle mysql. It was published on January 27, 2017 and has a CVSS 3.0 base score of 3.1 (LOW).

This vulnerability has a CVSS 3.0 base score of 3.1, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Vulnerability in the MySQL Server component of Oracle MySQL (subcomponent: Server: X Plugin). Supported versions that are affected are 5.7.16 and earlier. Difficult to exploit vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized read access to a subset of MySQL Server accessible data. CVSS v3.0 Base Score 3.1 (Confidentiality impacts).

Remediation

Check the references section for vendor advisories and patches from oracle. Update mysql 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
oracle mysql 0 Affected

Frequently Asked Questions

What is CVE-2017-3319?

CVE-2017-3319 is a low-severity vulnerability affecting oracle mysql. It was published on January 27, 2017 and has a CVSS 3.0 base score of 3.1 (LOW).

How severe is CVE-2017-3319?

This vulnerability has a CVSS 3.0 base score of 3.1, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2017-3319?

Check the references section for vendor advisories and patches from oracle. Update mysql 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-2017-3319?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-3319 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.