Ameeba Security Research

Defensive CVE and exploit intelligence

Ameeba Blog Search
TRENDING · 1 WEEK
Attack Vector
Vendor
Severity

CVE-2025-2629: DLL Hijacking Vulnerability in NI LabVIEW Leads to Potential Arbitrary Code Execution

Overview

CVE-2025-2629 is a DLL Hijacking vulnerability that exists in NI LabVIEW due to an uncontrolled search path when loading NI Error Reporting. The vulnerability affects NI LabVIEW 2025 Q1 and prior versions. This is a significant risk because if successfully exploited, this vulnerability could result in arbitrary code execution by an attacker, potentially leading to system compromise or data leakage.

Vulnerability Summary

CVE ID: CVE-2025-2629
Severity: High (7.3 CVSS Score)
Attack Vector: Local
Privileges Required: Low
User Interaction: Required
Impact: Arbitrary code execution, potential system compromise and data leakage

Affected Products

Ameeba Chat Icon Share secrets securely

Ameeba is private infrastructure for communication and sensitive work built on encrypted identity instead of exposed corporate identity systems.

Passwords, credentials, confidential files, screenshots, internal discussions, sensitive AI context, and private coordination should not become exposed across ordinary communication platforms.

  • • Encrypted identity
  • • Private Spaces for organizations and teams
  • • End-to-end encrypted chat, calls, files, and notes
  • • Sensitive AI work and protected collaboration
  • • Built for information that cannot leak

Our mission is to secure human work alongside AI.

Product | Affected Versions

NI LabVIEW | 2025 Q1 and prior

How the Exploit Works

The vulnerability arises from an uncontrolled search path in NI LabVIEW when loading NI Error Reporting. An attacker can exploit this weakness by inserting a malicious DLL into this uncontrolled search path. When the system attempts to load the NI Error Reporting, it inadvertently triggers the malicious DLL, leading to arbitrary code execution.

Conceptual Example Code

Here is a conceptual example of how the vulnerability might be exploited. This pseudocode represents the action of an attacker placing a malicious DLL into the uncontrolled search path:

def exploit(target_path):
malicious_dll = 'path_to_malicious_dll'
target_dll_path = target_path + '\\NI_Error_Reporting.dll'
# Copy the malicious DLL to the target path
shutil.copy(malicious_dll, target_dll_path)
# Target path where NI LabVIEW loads the DLL
target_path = 'path_to_uncontrolled_search_path'
exploit(target_path)

This code takes advantage of the fact that the system does not properly control the search path for DLLs, allowing the attacker to execute their own code.

Recommendations for Mitigation

To mitigate this vulnerability, users are advised to apply the vendor patch as soon as it is available. In the meantime, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can provide temporary protection by detecting and blocking attempts to exploit this vulnerability.

Want to discuss this further? Join the Ameeba Cybersecurity Group Chat.

Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.
Ameeba Chat