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CVE-2017-1000385

5.9 · MEDIUM
Published Dec 12, 2017 erlang CWE-203 EPSS 22.10% (97th pctl)

Overview

CVE-2017-1000385 is a medium-severity vulnerability affecting erlang erlang\/otp. It was published on December 12, 2017 and has a CVSS 3.0 base score of 5.9 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 5.9, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

The Erlang otp TLS server answers with different TLS alerts to different error types in the RSA PKCS #1 1.5 padding. This allows an attacker to decrypt content or sign messages with the server's private key (this is a variation of the Bleichenbacher attack).

Remediation

Check the references section for vendor advisories and patches from erlang. Update erlang\/otp 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

Frequently Asked Questions

What is CVE-2017-1000385?

CVE-2017-1000385 is a medium-severity vulnerability affecting erlang erlang\/otp. It was published on December 12, 2017 and has a CVSS 3.0 base score of 5.9 (MEDIUM).

How severe is CVE-2017-1000385?

This vulnerability has a CVSS 3.0 base score of 5.9, 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-2017-1000385?

Check the references section for vendor advisories and patches from erlang. Update erlang\/otp 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-2017-1000385?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-1000385 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.