CVE-2017-15300
5.3 · MEDIUMOverview
CVE-2017-15300 is a medium-severity vulnerability affecting ewbf cuda_zcash_miner. 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 and patches from ewbf. Update cuda_zcash_miner 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
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Frequently Asked Questions
What is CVE-2017-15300?
CVE-2017-15300 is a medium-severity vulnerability affecting ewbf cuda_zcash_miner. 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 and patches from ewbf. Update cuda_zcash_miner 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-2017-15300?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-15300 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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