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CVE Vulnerability Database
Vulnerability Database/CVE-2025-32396

CVE-2025-32396: Rt-labs P-net Buffer Overflow Vulnerability

CVE-2025-32396 is a heap-based buffer overflow vulnerability in RT-Labs P-Net that enables attackers to crash IO devices via malicious RPC packets. This article covers technical details, affected versions, and mitigation.

Published: April 29, 2026

CVE-2025-32396 Overview

A heap-based buffer overflow vulnerability has been identified in RT-Labs P-Net version 1.0.1 and earlier. This vulnerability allows remote attackers to induce a crash in IO devices that utilize the P-Net library by sending specially crafted malicious RPC packets. P-Net is an open-source implementation of the PROFINET protocol stack commonly used in industrial automation and operational technology (OT) environments.

Critical Impact

Remote attackers can cause denial of service conditions on industrial IO devices without authentication, potentially disrupting critical manufacturing and automation processes.

Affected Products

  • RT-Labs P-Net version 1.0.1 and earlier
  • Industrial IO devices implementing the RT-Labs P-Net library
  • PROFINET-enabled automation systems using vulnerable P-Net versions

Discovery Timeline

  • May 7, 2025 - CVE-2025-32396 published to NVD
  • May 13, 2025 - Last updated in NVD database

Technical Details for CVE-2025-32396

Vulnerability Analysis

This vulnerability is classified under CWE-122 (Heap-based Buffer Overflow) and CWE-787 (Out-of-bounds Write). The flaw exists in the RPC packet processing functionality within the P-Net PROFINET implementation. When the library receives a malformed RPC packet, it fails to properly validate buffer boundaries before writing data to heap-allocated memory.

The heap-based buffer overflow can be triggered remotely over the network without requiring any authentication or user interaction. While the primary impact is availability (causing device crashes and denial of service), heap overflow vulnerabilities can potentially be leveraged for more severe attacks depending on the memory layout and exploit sophistication.

Root Cause

The root cause stems from improper bounds checking during RPC packet parsing in the P-Net library. When processing incoming RPC data, the library allocates a buffer on the heap to store packet contents. However, insufficient validation of the packet size or structure allows an attacker to write beyond the allocated buffer boundaries, corrupting adjacent heap memory and causing the application to crash.

Attack Vector

The attack is network-based and can be executed remotely. An attacker with network access to a vulnerable device can craft a malicious RPC packet with oversized or malformed data fields. When the P-Net library processes this packet, the heap buffer overflow is triggered, resulting in memory corruption and subsequent device crash.

The vulnerability is particularly concerning for industrial environments where:

  • Devices are often exposed on operational technology (OT) networks
  • Crashes can disrupt critical manufacturing or automation processes
  • Recovery may require manual intervention and physical access to devices
  • Network segmentation between IT and OT networks may be inadequate

Detection Methods for CVE-2025-32396

Indicators of Compromise

  • Unexpected crashes or restarts of IO devices using P-Net library
  • Anomalous RPC traffic patterns targeting PROFINET-enabled devices
  • Memory corruption errors in device logs related to RPC processing
  • Repeated connection attempts followed by device unavailability

Detection Strategies

  • Implement network monitoring for malformed or oversized RPC packets targeting PROFINET services
  • Deploy intrusion detection signatures for heap overflow attack patterns in industrial protocols
  • Monitor device health metrics for unexpected restarts or availability issues
  • Establish baseline traffic patterns for RPC communications to identify anomalies

Monitoring Recommendations

  • Enable detailed logging on PROFINET-enabled devices where possible
  • Implement network traffic analysis at OT network boundaries
  • Configure alerts for device offline events or rapid restart cycles
  • Monitor memory utilization patterns on critical industrial controllers

How to Mitigate CVE-2025-32396

Immediate Actions Required

  • Identify all devices in your environment using RT-Labs P-Net library version 1.0.1 or earlier
  • Implement network segmentation to restrict access to vulnerable devices from untrusted networks
  • Apply firewall rules to limit RPC traffic to known and trusted sources only
  • Consider temporary isolation of critical devices until patches are available

Patch Information

Organizations should monitor RT-Labs for security updates to the P-Net library. Check the Nozomi Networks Vulnerability Advisory for the latest remediation guidance and vendor response information. Contact your device manufacturer for firmware updates that incorporate patched versions of the P-Net library.

Workarounds

  • Implement strict network segmentation between IT and OT environments
  • Deploy application-layer firewalls capable of inspecting PROFINET/RPC traffic
  • Restrict network access to affected devices using access control lists (ACLs)
  • Enable rate limiting on network connections to industrial devices to slow potential attack attempts
  • Consider deploying industrial-specific intrusion prevention systems (IPS) at network boundaries
bash
# Example network segmentation using iptables
# Restrict access to PROFINET devices (typical port 34964 for RPC)
iptables -A INPUT -p udp --dport 34964 -s 192.168.10.0/24 -j ACCEPT
iptables -A INPUT -p udp --dport 34964 -j DROP
iptables -A INPUT -p tcp --dport 34964 -s 192.168.10.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 34964 -j DROP

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechRt Labs P Net

  • SeverityHIGH

  • CVSS Score7.5

  • EPSS Probability0.37%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-122

  • CWE-787
  • Technical References
  • Nozomi Networks Vulnerability Advisory
  • Related CVEs
  • CVE-2025-32404: Rt-labs P-net Buffer Overflow Vulnerability

  • CVE-2025-32403: Rt-labs P-net Buffer Overflow Vulnerability

  • CVE-2025-32401: Rt-labs P-net Buffer Overflow Vulnerability

  • CVE-2025-32397: Rt-labs P-net Buffer Overflow Vulnerability
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