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CVE-2024-34694

8.1 · HIGH
Published Jun 14, 2024 CWE-754 EPSS 0.60% (46th pctl)

Overview

CVE-2024-34694 is a high-severity vulnerability. It was published on June 14, 2024 and has a CVSS 3.1 base score of 8.1 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.1, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

LNbits is a Lightning wallet and accounts system. Paying invoices in Eclair that do not get settled within the internal timeout (about 30s) lead to a payment being considered failed, even though it may still be in flight. This vulnerability can lead to a total loss of funds for the node backend. This vulnerability is fixed in 0.12.6.

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-2024-34694?

CVE-2024-34694 is a high-severity vulnerability. It was published on June 14, 2024 and has a CVSS 3.1 base score of 8.1 (HIGH).

How severe is CVE-2024-34694?

This vulnerability has a CVSS 3.1 base score of 8.1, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2024-34694?

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-2024-34694?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-34694 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.