InfluxDB - Port 8086

Basic info

What is InfluxDB?

InfluxDB is a purpose-built time series database optimized for handling time-stamped data points. Unlike traditional relational databases, InfluxDB is designed specifically for:

  • High-velocity data ingestion - Millions of data points per second

  • Time-based queries - Fast aggregations over time ranges

  • Automatic data retention - Built-in data expiration policies

  • Efficient storage - Specialized compression for time series data

  • Real-time analytics - Fast queries for monitoring and alerting

Time Series Database Concepts

Time Series Data Structure:

Key Terminology:

  • Measurement - Similar to SQL table (e.g., "cpu", "memory", "disk")

  • Tags - Indexed metadata (hostname, region, environment)

  • Fields - Actual data values (usage percentages, counts, etc.)

  • Point - Single data record with measurement, tags, fields, and timestamp

  • Series - Collection of points with same measurement and tag set

  • Bucket (v2.x) - Named location for time series data

  • Organization (v2.x) - Workspace containing users, buckets, and dashboards

Architecture Differences

InfluxDB v1.x vs v2.x:

Common Use Cases

Monitoring & Observability:

  • System metrics (CPU, memory, disk, network)

  • Application performance monitoring (APM)

  • Infrastructure monitoring with Telegraf

  • Grafana dashboards

IoT & Sensor Data:

  • Temperature, humidity, pressure sensors

  • Industrial equipment telemetry

  • Smart home data collection

Financial & Business:

  • Stock market tick data

  • Transaction monitoring

  • Business metrics and KPIs

DevOps & Cloud:

  • Container metrics (Docker, Kubernetes)

  • Cloud resource utilization

  • CI/CD pipeline metrics

Default Port

Default Port: 8086

Additional Ports:

  • 8088 - RPC service for backup/restore (v1.x)

  • 8089 - UDP service (optional)

Reconnaissance & Enumeration

Port Scanning

Basic Nmap Scan

Sample Output:

Version Detection

Method 1: HTTP Banner (v1.x)

Method 2: Health Endpoint (v2.x)

Method 3: Query Endpoint Version

Method 4: Web Interface (v2.x)

Service Fingerprinting

Check Available Endpoints

Shodan Queries

Find exposed InfluxDB instances:

Authentication Testing

Check Authentication Requirements (v1.x)

Method 1: CLI Connection

Method 2: HTTP API Test

With Authentication:

Check Authentication Requirements (v2.x)

Method 1: Health Endpoint (No Auth Required)

Method 2: API Requests

Default Credentials

Common Default Credentials (v1.x):

Credential Testing Script:

Brute Force Authentication

Using Hydra (v1.x)

Using Medusa

Custom Python Script

Exploitation - InfluxDB v1.x

Unauthenticated Access (No Auth)

List Databases

List Users

List Measurements (Tables)

List Field Keys (Columns)

List Tag Keys

Query Data

Important Note on Quoting:

Data Exfiltration

Dump Entire Database

Export to CSV Format

Search for Sensitive Data

Creating Admin User (If Auth Disabled)

Create Admin User

Grant Admin Privileges to Existing User

Data Manipulation

Write Data (If Auth Disabled)

Delete Data

Authentication Bypass (CVE-2019-20933)

Vulnerability: JWT Token Bypass

Affected Versions: InfluxDB < 1.7.6

Exploitation:

Manual Exploitation:

Exploitation - InfluxDB v2.x

Token-Based Authentication

Understanding v2.x Tokens:

Finding Tokens:

Common locations where tokens might be found:

v2.x Enumeration

Health Check (No Auth Required)

Using Valid Token

Query Data with Flux

v2.x Data Exfiltration

Dump All Buckets

Search for Sensitive Data

CVE-2024-30896: Operator Token Exposure

Vulnerability Overview:

  • Affected: InfluxDB OSS 2.x through 2.7.11 (pre-patch)

  • Impact: Authenticated user can retrieve operator token

  • Severity: Critical (full instance compromise)

Description:

An authenticated user with read access to the authorization resource in the default organization can list and retrieve the instance-wide operator token. With this token, an attacker gains full administrative access.

Detection:

Exploitation:

Automated Exploit:

Post-Exploitation

Persistence

Create Backdoor User (v1.x)

Create Backdoor Token (v2.x)

Data Poisoning

Privilege Escalation

From Read-Only to Admin (v1.x)

Token Privilege Escalation (v2.x)

Lateral Movement

Extract Credentials from Data

Map Infrastructure

Defense & Hardening

Secure Configuration (v1.x)

Enable Authentication

Create Strong Admin Credentials

Remove Default Users

Secure Configuration (v2.x)

Initial Setup with Security

Bind to Localhost

Use TLS/SSL

Token Management Best Practices

Network Security

Firewall Rules

Use Reverse Proxy

Monitoring & Detection

Enable Query Logging

Monitor for Attacks

Intrusion Detection (Snort)

OSSEC/Wazuh Rules

Update & Patch

Check Current Version

Update InfluxDB

Regular Security Audits

Tools & Scripts

Essential Tools

  1. influx - Official CLI client

  2. influxdb-cli - Alternative CLI

  3. curl - HTTP API interaction

  4. jq - JSON parsing

  5. Metasploit - Automated enumeration

  6. nmap - Port scanning

Custom Enumeration Script

Automated Metasploit Module

Cheat Sheet

Quick Reference

Important Endpoints

v1.x:

  • /ping - Health check, version info

  • /query - Query endpoint

  • /write - Write endpoint

  • /debug/vars - Metrics and stats

v2.x:

  • /health - Health check, version info

  • /api/v2/query - Flux query endpoint

  • /api/v2/write - Write endpoint

  • /api/v2/organizations - List orgs

  • /api/v2/buckets - List buckets

  • /api/v2/authorizations - List tokens

  • /metrics - Prometheus metrics

Common Databases/Buckets

Conclusion

InfluxDB, while powerful for time series data management, presents significant security risks when misconfigured. From unauthenticated access to critical vulnerabilities like CVE-2019-20933 and CVE-2024-30896, InfluxDB instances require careful security consideration.

Key Takeaways:

  1. Enable authentication on all instances (v1.x and v2.x)

  2. Bind to localhost unless remote access is required

  3. Update immediately to patched versions

  4. Use strong credentials and rotate tokens regularly

  5. Implement network segmentation with firewall rules

  6. Monitor for attacks with proper logging

  7. Audit regularly for misconfigurations

  8. Principle of least privilege for tokens and users

  9. Use TLS/SSL for production deployments

  10. Defense in depth - multiple security layers

Attack Vectors:

  • Unauthenticated access (misconfiguration)

  • Default credentials

  • CVE-2019-20933 (JWT bypass)

  • CVE-2024-30896 (operator token exposure)

  • Data exfiltration (sensitive metrics)

  • Privilege escalation via token manipulation

Remember to only perform these techniques during authorized security assessments. Unauthorized access is illegal and unethical.

Additional Resources

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