CVE-2024-1881
CVE-2024-1881
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
AutoGPT, a component of significant-gravitas/autogpt, is vulnerable to an improper neutralization of special elements used in an OS command ('OS Command Injection') due to a flaw in its shell command validation function. Specifically, the vulnerability exists in versions v0.5.0 up to but not including 5.1.0. The issue arises from the application's method of validating shell commands against an allowlist or denylist, where it only checks the first word of the command. This allows an attacker to bypass the intended restrictions by crafting commands that are executed despite not being on the allowlist or by including malicious commands not present in the denylist. Successful exploitation of this vulnerability could allow an attacker to execute arbitrary shell commands.
Comprehensive Technical Analysis of CVE-2024-1881
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-1881 CVSS Score: 9.8
The vulnerability in AutoGPT, a component of significant-gravitas/autogpt, involves an OS Command Injection flaw due to inadequate validation of shell commands. The issue arises from the application's method of validating commands against an allowlist or denylist, where it only checks the first word of the command. This allows attackers to bypass intended restrictions by crafting commands that are executed despite not being on the allowlist or by including malicious commands not present in the denylist.
Severity Evaluation:
- CVSS Score: 9.8 (Critical)
- Impact: Successful exploitation could allow an attacker to execute arbitrary shell commands, leading to potential system compromise, data exfiltration, or further malicious activities.
- Exploitability: High, due to the ease of crafting malicious commands that bypass the validation mechanism.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Direct Command Injection: An attacker could inject malicious commands directly into the application's input fields that accept shell commands.
- Chained Commands: By chaining commands using logical operators (e.g.,
&&,||,;), an attacker can execute multiple commands, including those not on the allowlist. - Obfuscation Techniques: Attackers may use obfuscation techniques to disguise malicious commands, making them harder to detect.
Exploitation Methods:
- Crafting Malicious Inputs: An attacker can input commands that start with an allowed word but include malicious commands later in the string.
- Bypassing Denylist: By including commands not explicitly denied, an attacker can execute harmful actions.
- Environment Variable Manipulation: Attackers might manipulate environment variables to inject malicious commands.
3. Affected Systems and Software Versions
Affected Software:
- AutoGPT component of significant-gravitas/autogpt
Affected Versions:
- Versions v0.5.0 up to but not including 5.1.0
Systems at Risk:
- Any system running the affected versions of AutoGPT, particularly those with user input that can influence shell command execution.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Upgrade to a Patched Version: Upgrade to version 5.1.0 or later, which includes the fix for this vulnerability.
- Disable Shell Command Execution: Temporarily disable or restrict shell command execution capabilities until a patch is applied.
Long-Term Mitigation:
- Enhanced Input Validation: Implement robust input validation mechanisms that check the entire command string, not just the first word.
- Least Privilege Principle: Ensure that the application runs with the least privileges necessary to minimize the impact of a successful exploit.
- Regular Security Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- System Compromise: Organizations using the affected versions of AutoGPT are at high risk of system compromise and data breaches.
- Reputation Damage: Successful exploitation could lead to significant reputational damage for affected organizations.
Long-Term Impact:
- Increased Awareness: This vulnerability highlights the importance of thorough input validation and the risks associated with OS command injection.
- Enhanced Security Practices: The incident may prompt organizations to adopt more stringent security practices and regular vulnerability assessments.
6. Technical Details for Security Professionals
Vulnerability Details:
- Root Cause: The flaw in the shell command validation function only checks the first word of the command, allowing attackers to bypass restrictions.
- Exploitation: Attackers can craft commands that start with an allowed word but include malicious commands later in the string.
Detection and Response:
- Log Analysis: Monitor logs for unusual or unexpected shell command executions.
- Intrusion Detection Systems (IDS): Implement IDS rules to detect and alert on suspicious command patterns.
- Incident Response Plan: Develop and maintain an incident response plan to quickly address any detected exploitation attempts.
Patch Information:
- Patch Commit: GitHub Commit
- Third Party Advisory: Huntr Bounty
Conclusion: CVE-2024-1881 is a critical vulnerability that underscores the importance of robust input validation and secure coding practices. Organizations should prioritize upgrading to the patched version and implementing enhanced security measures to mitigate the risk of exploitation. Regular security audits and adherence to best practices will help prevent similar vulnerabilities in the future.