Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2025-32397

7.5 · HIGH
Published May 7, 2025 rt-labs CWE-122 EPSS 0.40% (33th pctl)

Overview

CVE-2025-32397 is a high-severity vulnerability affecting rt-labs p-net. It was published on May 7, 2025 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

An Heap-based Buffer Overflow in RT-Labs P-Net version 1.0.1 or earlier allows an attacker to induce a crash in IO devices that use the library by sending a malicious RPC packet.

Remediation

Check the references section for vendor advisories and patches from rt-labs. Update p-net 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
rt-labs p-net >= 0, < 1.0.2 Affected

Frequently Asked Questions

What is CVE-2025-32397?

CVE-2025-32397 is a high-severity vulnerability affecting rt-labs p-net. It was published on May 7, 2025 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2025-32397?

This vulnerability has a CVSS 3.1 base score of 7.5, 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-2025-32397?

Check the references section for vendor advisories and patches from rt-labs. Update p-net 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-2025-32397?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-32397 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.