detecting-port-scanning-with-fail2ban▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Configures Fail2ban with custom filters and actions to detect port scanning activity, SSH brute force attempts, and network reconnaissance, automatically banning offending IP addresses and alerting security teams to suspicious network probing.
| name | detecting-port-scanning-with-fail2ban |
| description | 'Configures Fail2ban with custom filters and actions to detect port scanning activity, SSH brute force attempts, and network reconnaissance, automatically banning offending IP addresses and alerting security teams to suspicious network probing. ' |
| domain | cybersecurity |
| subdomain | network-security |
| tags | - network-security - fail2ban - port-scanning - intrusion-prevention - automated-defense |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.IR-01 - DE.CM-01 - ID.AM-03 - PR.DS-02 |
Detecting Port Scanning with Fail2ban
When to Use
- Automatically blocking IP addresses that perform port scans against internet-facing servers
- Defending SSH, HTTP, FTP, and other services against brute force attacks with automated IP banning
- Creating custom detection filters for organization-specific attack patterns in log files
- Reducing noise from automated scanning bots before traffic reaches IDS/IPS for deeper analysis
- Implementing defense-in-depth by adding host-based automated response to network monitoring
Do not use as the sole network security control, for protecting against distributed attacks from many source IPs, or as a replacement for proper firewall rules and network segmentation.
Prerequisites
- Fail2ban 0.11+ installed (
fail2ban-client --version) - Root/sudo access for iptables/nftables manipulation
- Services logging connection attempts to parseable log files (syslog, auth.log, access.log)
- iptables or nftables installed and operational as the host firewall
- Optional: SMTP server for email notifications on ban events
Workflow
Step 1: Install and Configure Fail2ban
# Install Fail2ban
sudo apt install -y fail2ban
# Create local configuration (never edit jail.conf directly)
sudo cp /etc/fail2ban/jail.conf /etc/fail2ban/jail.local
# Configure global defaults
sudo tee /etc/fail2ban/jail.local << 'EOF'
[DEFAULT]
# Ban duration (1 hour default, escalates for repeat offenders)
bantime = 3600
# Detection window
findtime = 600
# Max failures before ban
maxretry = 5
# Ban action using iptables
banaction = iptables-multiport
banaction_allports = iptables-allports
# Email notifications
destemail = [email protected]
sender = [email protected]
mta = sendmail
action = %(action_mwl)s
# Ignore internal networks
ignoreip = 127.0.0.1/8 ::1 10.10.0.0/16
# Use systemd journal backend where available
backend = systemd
[sshd]
enabled = true
port = ssh
filter = sshd
logpath = /var/log/auth.log
maxretry = 3
bantime = 7200
findtime = 300
[sshd-ddos]
enabled = true
port = ssh
filter = sshd-ddos
logpath = /var/log/auth.log
maxretry = 6
bantime = 3600
EOF
Step 2: Create Custom Port Scan Detection Filter
# Create iptables logging rule for dropped connections
sudo iptables -N PORTSCAN
sudo iptables -A PORTSCAN -j LOG --log-prefix "PORTSCAN_DETECTED: " --log-level 4
sudo iptables -A PORTSCAN -j DROP
# Log SYN packets to closed ports (indicates scanning)
sudo iptables -A INPUT -p tcp --tcp-flags SYN,ACK,FIN,RST SYN -m state --state NEW \
-m recent --name portscan --set
sudo iptables -A INPUT -p tcp --tcp-flags SYN,ACK,FIN,RST SYN -m state --state NEW \
-m recent --name portscan --rcheck --seconds 10 --hitcount 20 -j PORTSCAN
# Create Fail2ban filter for port scanning
sudo tee /etc/fail2ban/filter.d/portscan.conf << 'EOF'
[Definition]
# Match iptables port scan log entries
failregex = PORTSCAN_DETECTED: .* SRC=<HOST> DST=\S+ .* DPT=\d+
ignoreregex =
datepattern = {^LN-BEG}
EOF
# Create Fail2ban filter for Nmap detection via kernel logs
sudo tee /etc/fail2ban/filter.d/nmap-scan.conf << 'EOF'
[Definition]
# Detect rapid connection attempts to multiple ports from same source
failregex = kernel: \[.*\] PORTSCAN_DETECTED: .* SRC=<HOST>
iptables: .* PORTSCAN .* SRC=<HOST>
ignoreregex =
datepattern = {^LN-BEG}
EOF
# Create filter for HTTP scanning/probing
sudo tee /etc/fail2ban/filter.d/http-scan.conf << 'EOF'
[Definition]
# Detect scanners probing for common vulnerabilities
failregex = ^<HOST> .* "(GET|POST|HEAD) /(wp-login|wp-admin|phpmyadmin|admin|.env|xmlrpc|wp-content/uploads).*" (403|404|444)
^<HOST> .* "(GET|POST) /.*\.(php|asp|aspx|jsp|cgi)\?.*" (403|404)
^<HOST> .* "() .*" 400
^<HOST> .* "(GET|POST) /.*" 400
ignoreregex =
datepattern = {^LN-BEG}
EOF
Step 3: Configure Jail for Port Scanning
# Add port scan jails to jail.local
sudo tee -a /etc/fail2ban/jail.local << 'EOF'
[portscan]
enabled = true
filter = portscan
logpath = /var/log/kern.log
maxretry = 10
findtime = 60
bantime = 86400
banaction = iptables-allports
action = %(action_mwl)s
[nmap-scan]
enabled = true
filter = nmap-scan
logpath = /var/log/kern.log
maxretry = 5
findtime = 30
bantime = 86400
banaction = iptables-allports
action = %(action_mwl)s
[http-scan]
enabled = true
filter = http-scan
logpath = /var/log/nginx/access.log
maxretry = 10
findtime = 300
bantime = 3600
banaction = iptables-multiport
port = http,https
[recidive]
enabled = true
filter = recidive
logpath = /var/log/fail2ban.log
bantime = 604800
findtime = 86400
maxretry = 3
banaction = iptables-allports
action = %(action_mwl)s
EOF
Step 4: Configure Advanced Ban Actions
# Create custom action that blocks and sends webhook notification
sudo tee /etc/fail2ban/action.d/iptables-webhook.conf << 'EOF'
[Definition]
actionstart = <iptables> -N f2b-<name>
<iptables> -A f2b-<name> -j RETURN
<iptables> -I <chain> -p <protocol> -j f2b-<name>
actionstop = <iptables> -D <chain> -p <protocol> -j f2b-<name>
<iptables> -F f2b-<name>
<iptables> -X f2b-<name>
actioncheck = <iptables> -n -L <chain> | grep -q 'f2b-<name>[ \t]'
actionban = <iptables> -I f2b-<name> 1 -s <ip> -j <blocktype>
curl -s -X POST "<webhook_url>" \
-H "Content-Type: application/json" \
-d '{"text":"[Fail2ban] Banned <ip> from <name> jail (failures: <failures>)"}'
actionunban = <iptables> -D f2b-<name> -s <ip> -j <blocktype>
[Init]
chain = INPUT
blocktype = DROP
webhook_url = https://hooks.slack.com/services/XXXX/YYYY/ZZZZ
EOF
# Create escalating ban action for repeat offenders
sudo tee /etc/fail2ban/action.d/escalating-ban.conf << 'EOF'
[Definition]
actionban = <iptables> -I f2b-<name> 1 -s <ip> -j DROP
echo "$(date) BAN <ip> jail=<name> failures=<failures> bantime=<bantime>" >> /var/log/fail2ban-bans.log
actionunban = <iptables> -D f2b-<name> -s <ip> -j DROP
echo "$(date) UNBAN <ip> jail=<name>" >> /var/log/fail2ban-bans.log
EOF
Step 5: Test and Validate Detection
# Restart Fail2ban
sudo systemctl restart fail2ban
# Verify jails are active
sudo fail2ban-client status
sudo fail2ban-client status sshd
sudo fail2ban-client status portscan
# Test the port scan filter with a regex check
sudo fail2ban-regex /var/log/kern.log /etc/fail2ban/filter.d/portscan.conf
# Test the HTTP scan filter
sudo fail2ban-regex /var/log/nginx/access.log /etc/fail2ban/filter.d/http-scan.conf
# Simulate a port scan from a test machine (authorized)
# From the test machine:
nmap -sS -p 1-1000 <target_ip>
# Verify the scanner gets banned
sudo fail2ban-client status portscan
# Should show the test IP in the banned list
# Check iptables for the ban rule
sudo iptables -L f2b-portscan -n
# Unban the test IP
sudo fail2ban-client set portscan unbanip <test_ip>
Step 6: Monitor and Maintain
# View real-time ban activity
sudo tail -f /var/log/fail2ban.log | grep -E "Ban|Unban"
# Generate daily summary report
sudo tee /usr/local/bin/fail2ban-report.sh << 'SCRIPT'
#!/bin/bash
echo "=== Fail2ban Daily Report $(date) ==="
echo ""
echo "Active Jails:"
sudo fail2ban-client status | grep "Jail list"
echo ""
echo "Currently Banned IPs:"
for jail in $(sudo fail2ban-client status | grep "Jail list" | sed 's/.*://;s/,//g'); do
count=$(sudo fail2ban-client status "$jail" | grep "Currently banned" | awk '{print $NF}')
if [ "$count" -gt 0 ]; then
echo " $jail: $count banned"
sudo fail2ban-client status "$jail" | grep "Banned IP"
fi
done
echo ""
echo "Last 24 hours - Ban count by jail:"
grep "Ban " /var/log/fail2ban.log | grep "$(date +%Y-%m-%d)" | awk '{print $NF}' | sort | uniq -c | sort -rn
SCRIPT
chmod +x /usr/local/bin/fail2ban-report.sh
# Schedule daily report
echo "0 8 * * * root /usr/local/bin/fail2ban-report.sh | mail -s 'Fail2ban Report' [email protected]" | sudo tee /etc/cron.d/fail2ban-report
# Persist iptables rules across reboots
sudo apt install iptables-persistent
sudo netfilter-persistent save
Key Concepts
| Term | Definition |
|---|---|
| Jail | Fail2ban configuration unit that combines a filter (what to detect), an action (what to do), and parameters (thresholds, timing) for a specific service |
| Filter | Regular expression patterns that Fail2ban applies to log files to identify failed authentication attempts, scanning, or other malicious activity |
| Recidive Jail | Meta-jail that monitors Fail2ban's own log for repeat offenders, applying escalating ban durations to IPs banned multiple times |
| Find Time | Time window in seconds during which Fail2ban counts matching log entries; maxretry failures within findtime triggers a ban |
| Ban Action | Command or script executed when an IP is banned, typically adding firewall rules but extensible to webhooks, SIEM alerts, or blocklist updates |
| Ignore IP | Whitelist of IP addresses or CIDR ranges that are never banned, preventing lockout of trusted networks and monitoring systems |
Tools & Systems
- Fail2ban 0.11+: Log-parsing intrusion prevention framework that bans IP addresses based on pattern matching across any log file
- iptables/nftables: Linux kernel firewall used by Fail2ban ban actions to block offending IP addresses at the network layer
- fail2ban-regex: Testing utility for validating filter regular expressions against actual log files before deploying to production
- fail2ban-client: Command-line management tool for querying jail status, manually banning/unbanning IPs, and reloading configuration
- rsyslog/syslog-ng: System logging daemons that generate the log files Fail2ban monitors for attack detection
Common Scenarios
Scenario: Defending a Public-Facing Web Server Against Automated Scanning
Context: A company runs a public web server that receives thousands of automated scan attempts daily from bots probing for vulnerable paths (/wp-admin, /phpmyadmin, /.env). The security team wants to automatically block scanners while allowing legitimate traffic. The server runs Nginx on Ubuntu 22.04.
Approach:
- Install Fail2ban and configure it to monitor Nginx access logs for scanning patterns (404/403 responses to known vulnerability paths)
- Create a custom
http-scanfilter matching common scanner signatures and vulnerability probing URIs - Set maxretry to 10 within a 5-minute findtime, with a 1-hour bantime for first offense
- Enable the recidive jail to escalate ban duration to 7 days for repeat offenders
- Configure webhook notifications to Slack for real-time visibility of banning activity
- Add iptables logging rules for SYN packets to closed ports to detect port scanning
- Create a daily report script showing banned IPs, attack patterns, and geographic distribution
Pitfalls:
- Setting maxretry too low (e.g., 1-2), causing legitimate users who mistype URLs to get banned
- Not whitelisting monitoring systems (Nagios, UptimeRobot) that may trigger filters with their health checks
- Forgetting to persist iptables rules, losing all bans after a reboot
- Not testing filters with fail2ban-regex before deploying, resulting in no matches or excessive false positives
Output Format
## Fail2ban Port Scan Defense Report
**Server**: web-prod-01 (203.0.113.50)
**Reporting Period**: 2024-03-15 00:00 to 2024-03-16 00:00 UTC
### Active Jails
| Jail | Filter | Max Retry | Ban Time | Currently Banned |
|------|--------|-----------|----------|------------------|
| sshd | sshd | 3 | 2 hours | 12 IPs |
| portscan | portscan | 10 | 24 hours | 47 IPs |
| http-scan | http-scan | 10 | 1 hour | 89 IPs |
| recidive | recidive | 3 | 7 days | 8 IPs |
### 24-Hour Summary
- Total ban events: 347
- Unique IPs banned: 156
- Top attacking country: CN (67 IPs), RU (34 IPs), US (21 IPs)
- Most targeted service: HTTP scanning (214 bans)
- Recidive escalations: 8 IPs banned for 7 days
### Top 5 Banned IPs
| IP Address | Jail | Ban Count | First Seen | Last Seen |
|------------|------|-----------|------------|-----------|
| 45.33.32.156 | portscan | 12 | 00:15 | 23:47 |
| 198.51.100.23 | http-scan | 8 | 02:30 | 18:22 |
| 203.0.113.100 | sshd | 6 | 05:12 | 21:33 |
How to use detecting-port-scanning-with-fail2ban on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add detecting-port-scanning-with-fail2ban
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches detecting-port-scanning-with-fail2ban from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate detecting-port-scanning-with-fail2ban. Access the skill through slash commands (e.g., /detecting-port-scanning-with-fail2ban) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
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Ratings
4.7★★★★★34 reviews- ★★★★★Ava Garcia· Dec 28, 2024
Solid pick for teams standardizing on skills: detecting-port-scanning-with-fail2ban is focused, and the summary matches what you get after install.
- ★★★★★Yusuf Harris· Dec 20, 2024
Keeps context tight: detecting-port-scanning-with-fail2ban is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Pratham Ware· Dec 12, 2024
Registry listing for detecting-port-scanning-with-fail2ban matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Luis Rao· Dec 8, 2024
We added detecting-port-scanning-with-fail2ban from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ren Choi· Nov 27, 2024
Useful defaults in detecting-port-scanning-with-fail2ban — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Anaya Torres· Nov 27, 2024
detecting-port-scanning-with-fail2ban fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Valentina White· Nov 19, 2024
detecting-port-scanning-with-fail2ban has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Anika Smith· Nov 11, 2024
I recommend detecting-port-scanning-with-fail2ban for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sakshi Patil· Nov 3, 2024
detecting-port-scanning-with-fail2ban reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chaitanya Patil· Oct 22, 2024
I recommend detecting-port-scanning-with-fail2ban for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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