# CVE-2024-3429: PYSEC-2026-1583 - LoLLMS Path Traversal vulnerability

Source: https://junglewise.ai/threats/cve-2024-3429-lollms-path-traversal-vulnerability  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-07-07  
License: CC BY 4.0 with a link back

CVE-2024-3429 · Severity: low · CVSS 3 · Published 2026-07-07

LoLLMS Path Traversal vulnerability

Technologies: [lollms (PyPI)](https://junglewise.ai/threats/technologies/pypi-lollms). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2024-3429 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2024-3429 being exploited in the wild.

**How severe is CVE-2024-3429?** Low severity, with a CVSS score of 3, published 7 July 2026.

**Which products and versions are affected?** lollms (PyPI) ECOSYSTEM:introduced=0,fixed=9.5.0.

**Is there a fix for CVE-2024-3429?** Yes. lollms (PyPI): upgrade to 9.5.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**Am I affected by CVE-2024-3429?** Check whether you run lollms (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## How to fix

- lollms (PyPI): upgrade to 9.5.0 or later

  ```sh
  pip install "lollms>=9.5.0"
  ```


## Affected products

- lollms (PyPI) ECOSYSTEM:introduced=0,fixed=9.5.0

## Identifiers

- CVE-2024-3429
- GHSA-3x47-w4rx-6pm7
- PYSEC-2026-1583

## Related threats

- [PYSEC-2026-1586 - Lollms has an Improper Access Control vulnerability](https://junglewise.ai/threats/cve-2026-1117-lollms-has-an-improper-access-control-vulnerability)
- [PYSEC-2026-1590 - Lord of Large Language Models vulnerable to Observable Discrepancy attack via authenticate_user function](https://junglewise.ai/threats/cve-2025-6386-lord-of-large-language-models-vulnerable-to-observable-discrepancy)
- [PYSEC-2026-1591 - LoLLMS Code Injection vulnerability](https://junglewise.ai/threats/cve-2024-6982-lollms-code-injection-vulnerability)
- [PYSEC-2026-1585 - Lord of Large Language Models (LoLLMs) Server path traversal vulnerability in lollms_file_system.py](https://junglewise.ai/threats/cve-2024-6971-lord-of-large-language-models-lollms-server-path-traversal)
- [PYSEC-2026-1587 - LoLLMS vulnerable to Expected Behavior Violation](https://junglewise.ai/threats/cve-2024-6281-lollms-vulnerable-to-expected-behavior-violation)