CVE-2025-67511

Comprehensive Technical Analysis of CVE-2025-67511

1. Vulnerability Assessment and Severity Evaluation

CVE ID: CVE-2025-67511 CVSS Score: 9.6

The vulnerability in Cybersecurity AI (CAI) framework versions 0.5.9 and below is classified as a Command Injection vulnerability. The run_ssh_command_with_credentials() function, which is accessible to AI agents, does not adequately sanitize the username, host, and port inputs, making them susceptible to injection attacks. The CVSS score of 9.6 indicates a critical severity level, highlighting the potential for significant impact if exploited.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• Command Injection: An attacker can inject malicious commands through the username, host, or port parameters, leading to arbitrary command execution on the target system.
• Privilege Escalation: If the AI agent has elevated privileges, the injected commands could lead to privilege escalation, allowing the attacker to gain higher access levels.
• Data Exfiltration: Malicious commands can be used to exfiltrate sensitive data from the target system.

Exploitation Methods:

• Crafted Inputs: An attacker can craft specific inputs for the username, host, or port fields to inject commands.
• Automated Scripts: Automated scripts can be used to exploit the vulnerability, making it easier for attackers to target multiple systems simultaneously.

3. Affected Systems and Software Versions

Affected Software:

• Cybersecurity AI (CAI) framework versions 0.5.9 and below.

Affected Systems:

• Any system running the vulnerable versions of the CAI framework, particularly those with AI agents that have access to the run_ssh_command_with_credentials() function.

4. Recommended Mitigation Strategies

Immediate Mitigation:

• Input Validation: Implement strict input validation and sanitization for all parameters, including username, host, and port.
• Least Privilege: Ensure that AI agents operate with the least privilege necessary to minimize the impact of potential exploits.
• Monitoring: Increase monitoring and logging of SSH commands executed by AI agents to detect and respond to suspicious activities.

Long-Term Mitigation:

• Patching: Apply patches or updates from the CAI framework maintainers once they are available.
• Code Review: Conduct a thorough code review to identify and fix similar vulnerabilities in other parts of the framework.
• Security Training: Provide security training for developers to ensure they are aware of common vulnerabilities and best practices for secure coding.

5. Impact on Cybersecurity Landscape

The discovery of this vulnerability underscores the importance of robust input validation and sanitization, especially in open-source frameworks that are widely used. It highlights the need for continuous monitoring and updating of security practices to protect against evolving threats. The high CVSS score indicates the potential for severe consequences, including unauthorized access, data breaches, and system compromises.

6. Technical Details for Security Professionals

Vulnerability Details:

• Function: run_ssh_command_with_credentials()
• Parameters: username, host, port, password, command
• Issue: Only password and command inputs are escaped, leaving username, host, and port vulnerable to injection.

Example Exploit:

# Example of a malicious input
username = "admin; rm -rf /"
host = "example.com"
port = "22"
password = "securepassword"
command = "ls"

# The function call
run_ssh_command_with_credentials(username, host, port, password, command)

Mitigation Code Example:

import shlex
import subprocess

def run_ssh_command_with_credentials(username, host, port, password, command):
    # Sanitize inputs
    username = shlex.quote(username)
    host = shlex.quote(host)
    port = shlex.quote(port)
    password = shlex.quote(password)
    command = shlex.quote(command)

    # Construct the SSH command
    ssh_command = f"sshpass -p {password} ssh {username}@{host} -p {port} {command}"

    # Execute the command
    subprocess.run(ssh_command, shell=True)

References:

• GitHub Commit
• GitHub Security Advisory

By addressing this vulnerability promptly and comprehensively, organizations can significantly reduce the risk of command injection attacks and enhance their overall cybersecurity posture.