Skip to main content
CVE Vulnerability Database

CVE-2025-1753: Llamaindex CLI RCE Vulnerability

CVE-2025-1753 is an OS command injection vulnerability in Llamaindex CLI v0.12.20 that enables remote code execution. Attackers can exploit the --files argument to execute arbitrary commands. This article covers technical details, affected versions, impact, and mitigation strategies.

Updated:

CVE-2025-1753 Overview

CVE-2025-1753 is an OS command injection vulnerability affecting LlamaIndex CLI version v0.12.20. The vulnerability stems from improper handling of the --files argument, which is directly passed into os.system without proper sanitization. An attacker who controls the content of this argument can inject and execute arbitrary shell commands on the target system.

This vulnerability can be exploited locally when an attacker has control over CLI arguments, or remotely if a web application invokes the LlamaIndex CLI with user-controlled filename parameters. Successful exploitation leads to arbitrary code execution on the affected system.

Critical Impact

Arbitrary code execution through OS command injection in LlamaIndex CLI enables attackers to compromise systems running vulnerable versions of the AI framework.

Affected Products

  • LlamaIndex CLI v0.12.20
  • Applications integrating LlamaIndex CLI with user-controlled inputs
  • Web services that pass user-supplied filenames to the LlamaIndex CLI

Discovery Timeline

  • 2025-05-28 - CVE-2025-1753 published to NVD
  • 2025-08-07 - Last updated in NVD database

Technical Details for CVE-2025-1753

Vulnerability Analysis

This command injection vulnerability (CWE-78) occurs because user-supplied input from the --files argument is passed directly to os.system() without proper sanitization or escaping. The os.system() function executes commands through a shell, making it susceptible to command injection when handling untrusted input. An attacker can craft malicious filenames containing shell metacharacters (such as ;, |, &&, or backticks) to break out of the intended command context and execute arbitrary commands.

The attack requires local access when exploiting directly through CLI arguments. However, the vulnerability becomes remotely exploitable when web applications or services accept user-provided filenames and pass them to the LlamaIndex CLI without validation.

Root Cause

The root cause is the direct use of unsanitized user input in shell command execution via os.system(). The vulnerable code path accepts the --files argument and incorporates it into a shell command without escaping special characters or using safer alternatives like subprocess with shell=False.

Attack Vector

The attack vector is local by default, requiring the attacker to have control over CLI arguments. However, it becomes a network-based attack vector when vulnerable deployments expose the CLI functionality through web interfaces that accept user-controlled filenames. An attacker can inject shell metacharacters within the filename argument to execute arbitrary commands with the privileges of the process running the LlamaIndex CLI.

The official patch introduces the shlex module for proper input escaping before shell execution:

python
 import asyncio
 import os
+import shlex
 import shutil
 from argparse import ArgumentParser
 from glob import iglob

Source: GitHub Commit

The fix imports shlex, which provides proper shell escaping functionality to sanitize user input before it is passed to shell commands.

Detection Methods for CVE-2025-1753

Indicators of Compromise

  • Unusual process spawning from LlamaIndex CLI processes
  • Shell commands containing semicolons, pipes, or backticks in --files arguments
  • Unexpected network connections initiated by LlamaIndex-related processes
  • Anomalous file system activity following LlamaIndex CLI execution

Detection Strategies

  • Monitor command-line arguments passed to LlamaIndex CLI for shell metacharacters (;, |, &&, `, $())
  • Implement application-level logging to capture all --files argument values
  • Use endpoint detection to identify suspicious child process creation from Python processes
  • Review web application logs for requests containing potential command injection patterns

Monitoring Recommendations

  • Enable process auditing on systems running LlamaIndex CLI
  • Configure SIEM rules to alert on shell metacharacters in CLI arguments
  • Monitor for unexpected outbound network connections from application servers
  • Implement file integrity monitoring on systems using LlamaIndex

How to Mitigate CVE-2025-1753

Immediate Actions Required

  • Update LlamaIndex CLI to a patched version that includes commit b57e76738c53ca82d88658b82f2d82d1c7839c7d
  • Audit all applications that integrate with LlamaIndex CLI to ensure proper input validation
  • Implement input validation at the application layer to reject filenames containing shell metacharacters
  • Restrict network access to systems running vulnerable versions until patched

Patch Information

The vulnerability has been addressed in the official GitHub commit, which introduces proper input escaping using Python's shlex module. Organizations should update to the latest version of LlamaIndex that includes this security fix. Additional details about the vulnerability are available in the Huntr bounty report.

Workarounds

  • Implement strict input validation to whitelist allowed characters in filename arguments
  • Avoid exposing LlamaIndex CLI functionality to untrusted user input
  • Run LlamaIndex CLI with minimal privileges using principle of least privilege
  • Use application-level sandboxing to contain potential command execution
bash
# Example input validation before calling LlamaIndex CLI
# Validate filenames contain only alphanumeric characters, dots, and underscores
if [[ "$filename" =~ ^[a-zA-Z0-9._-]+$ ]]; then
    llamaindex-cli --files "$filename"
else
    echo "Invalid filename detected"
    exit 1
fi

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.