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CVE-2016-10517

7.4 · HIGH
Published Oct 24, 2017 redislabs CWE-254 EPSS 2.15% (81th pctl)

Overview

CVE-2016-10517 is a high-severity vulnerability affecting redislabs redis. It was published on October 24, 2017 and has a CVSS 3.0 base score of 7.4 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.4, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

networking.c in Redis before 3.2.7 allows "Cross Protocol Scripting" because it lacks a check for POST and Host: strings, which are not valid in the Redis protocol (but commonly occur when an attack triggers an HTTP request to the Redis TCP port).

Remediation

Check the references section for vendor advisories and patches from redislabs. Update redis 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
redislabs redis >= 0, < 3.2.7 Affected

Frequently Asked Questions

What is CVE-2016-10517?

CVE-2016-10517 is a high-severity vulnerability affecting redislabs redis. It was published on October 24, 2017 and has a CVSS 3.0 base score of 7.4 (HIGH).

How severe is CVE-2016-10517?

This vulnerability has a CVSS 3.0 base score of 7.4, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2016-10517?

Check the references section for vendor advisories and patches from redislabs. Update redis 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-2016-10517?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-10517 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.