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CVE-2017-15300

5.3 · MEDIUM

The miner statistics HTTP API in EWBF Cuda Zcash Miner Version 0.3.4b hangs on incoming TCP connections until some sort of request is made (such as "GET / HTTP/1.1"), which allows for a Denial of S…

Published Oct 15, 2017EPSS 1.07%

Overview

CVE-2017-15300 is a medium-severity vulnerability. It was published on October 15, 2017 and has a CVSS 3.0 base score of 5.3 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

The miner statistics HTTP API in EWBF Cuda Zcash Miner Version 0.3.4b hangs on incoming TCP connections until some sort of request is made (such as "GET / HTTP/1.1"), which allows for a Denial of Service attack preventing a user from viewing their mining statistics by an attacker opening a session with telnet or netcat and connecting to the miner on the HTTP API port.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. 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.

Frequently asked questions

What is CVE-2017-15300?

CVE-2017-15300 is a medium-severity vulnerability. It was published on October 15, 2017 and has a CVSS 3.0 base score of 5.3 (MEDIUM).

How severe is CVE-2017-15300?

This vulnerability has a CVSS 3.0 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2017-15300?

Check the references section for vendor advisories, patches, and mitigation guidance. 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-2017-15300?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2017-15300 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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