CVE-2023-39662

9.8 CRITICAL

📋 TL;DR

This vulnerability allows remote attackers to execute arbitrary code on systems running vulnerable versions of llama_index. Attackers can exploit the PandasQueryEngine function's exec parameter to run malicious commands. Anyone using llama_index v0.7.13 or earlier is affected.

💻 Affected Systems

Products:
  • llama_index
Versions: v0.7.13 and all earlier versions
Operating Systems: All operating systems running Python
Default Config Vulnerable: ⚠️ Yes
Notes: Any system using PandasQueryEngine with user-controlled input is vulnerable. The vulnerability exists in the core library functionality.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete system compromise with attacker gaining full control over the server, allowing data theft, lateral movement, and persistent backdoor installation.

🟠

Likely Case

Remote code execution leading to data exfiltration, cryptocurrency mining, or ransomware deployment on vulnerable systems.

🟢

If Mitigated

Limited impact with proper input validation and sandboxing, potentially only affecting the llama_index process scope.

🌐 Internet-Facing: HIGH - Remote exploitation without authentication makes internet-facing instances extremely vulnerable.
🏢 Internal Only: MEDIUM - Internal systems are still vulnerable but require network access; could be exploited via phishing or compromised internal accounts.

🎯 Exploit Status

Public PoC: ⚠️ Yes
Weaponized: LIKELY
Unauthenticated Exploit: ⚠️ Yes
Complexity: LOW

The GitHub issue contains proof-of-concept details. The vulnerability is straightforward to exploit with minimal technical knowledge required.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: v0.7.14 or later

Vendor Advisory: https://github.com/jerryjliu/llama_index/issues/7054

Restart Required: Yes

Instructions:

1. Update llama_index using pip: pip install --upgrade llama-index
2. Verify version is 0.7.14 or higher
3. Restart all applications using llama_index
4. Test that PandasQueryEngine functionality still works as expected

🔧 Temporary Workarounds

Disable PandasQueryEngine

all

Temporarily disable or remove PandasQueryEngine functionality until patching is possible

# Modify code to avoid using PandasQueryEngine
# Remove or comment out PandasQueryEngine imports and usage

Input Validation Wrapper

all

Implement strict input validation for all parameters passed to PandasQueryEngine

# Implement input sanitization before calling PandasQueryEngine
# Validate and sanitize all user inputs
# Consider using allowlists for acceptable parameters

🧯 If You Can't Patch

  • Network segmentation: Isolate systems running vulnerable versions from internet and sensitive internal networks
  • Implement strict application allowlisting and monitor for suspicious process execution

🔍 How to Verify

Check if Vulnerable:

Check llama_index version: python -c "import llama_index; print(llama_index.__version__)" - if version is 0.7.13 or lower, system is vulnerable

Check Version:

python -c "import llama_index; print(llama_index.__version__)"

Verify Fix Applied:

After update, verify version is 0.7.14+: python -c "import llama_index; print(llama_index.__version__)"

📡 Detection & Monitoring

Log Indicators:

  • Unusual Python process execution patterns
  • Suspicious command execution via llama_index
  • Error logs containing exec-related failures

Network Indicators:

  • Unexpected outbound connections from llama_index processes
  • Command and control traffic patterns

SIEM Query:

process.name: "python" AND process.args: "llama_index" AND process.args: "exec"

🔗 References

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