Ameeba Chat App store presentation
Download Ameeba Chat Today
Ameeba Blog Search

CVE-2025-55319: Command Injection Vulnerability in Agentic AI and Visual Studio Code

Ameeba’s Mission: Safeguarding privacy by securing data and communication with our patented anonymization technology.

Overview

The vulnerability identified as CVE-2025-55319 is a critical security flaw that affects Agentic AI and Visual Studio Code. This vulnerability allows an unauthorized attacker to execute arbitrary code over a network, posing a significant risk to the integrity and confidentiality of the affected systems. Given the widespread use of Visual Studio Code and Agentic AI in various sectors, this vulnerability could have severe implications if left unaddressed.

Vulnerability Summary

CVE ID: CVE-2025-55319
Severity: High (8.8)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: Potential system compromise or data leakage

Affected Products

Ameeba Chat Icon Escape the Surveillance Era

Most apps won’t tell you the truth.
They’re part of the problem.

Phone numbers. Emails. Profiles. Logs.
It’s all fuel for surveillance.

Ameeba Chat gives you a way out.

  • • No phone number
  • • No email
  • • No personal info
  • • Anonymous aliases
  • • End-to-end encrypted

Chat without a trace.

Product | Affected Versions

Agentic AI | All versions prior to the patch
Visual Studio Code | All versions prior to the patch

How the Exploit Works

The vulnerability exploits the way Agentic AI and Visual Studio Code handle AI commands. Through a crafted AI command, an attacker can inject malicious code that the systems execute inadvertently. This is possible because the affected systems fail to sanitize or properly validate the AI commands received over the network. This allows the attacker to execute unauthorized commands, potentially leading to system compromise or data leakage.

Conceptual Example Code

The following pseudocode illustrates a conceptual example of how this vulnerability might be exploited:

POST /ai_command HTTP/1.1
Host: target.example.com
Content-Type: application/json
{ "ai_command": "; rm -rf / --no-preserve-root ;" }

In this example, the attacker sends a malicious AI command (`; rm -rf / –no-preserve-root ;`) that, if executed, would remove all files in the system. The semicolons act as command separators, tricking the system into executing the malicious command as part of a legitimate AI command.

Mitigation

To mitigate this vulnerability, users of Agentic AI and Visual Studio Code should immediately apply the vendor’s patch. In the absence of a patch, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can be used as temporary mitigation. These systems should be configured to block or alert on AI commands that contain suspicious or malicious payloads.

Talk freely. Stay anonymous with Ameeba 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