Configure Cloudflare DDoS protection with managed rulesets, rate limiting, WAF rules, Bot Management, and origin protection to mitigate volumetric, protocol, and application-layer attacks.
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| name | implementing-ddos-mitigation-with-cloudflare |
| description | Configure Cloudflare DDoS protection with managed rulesets, rate limiting, WAF rules, Bot Management, and origin protection to mitigate volumetric, protocol, and application-layer attacks. |
| domain | cybersecurity |
| subdomain | network-security |
| tags | - ddos - cloudflare - ddos-mitigation - rate-limiting - waf - bot-management - layer-7 - volumetric-attack - network-security |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.IR-01 - DE.CM-01 - ID.AM-03 - PR.DS-02 |
Cloudflare provides multi-layer DDoS protection across its global network of over 300 data centers with 477+ Tbps of capacity. The platform protects against L3/4 volumetric attacks (SYN floods, UDP amplification, DNS reflection), protocol attacks (Ping of Death, Smurf), and L7 application-layer attacks (HTTP floods, Slowloris, cache-busting). Cloudflare's autonomous detection systems identify and mitigate attacks within approximately 3 seconds using traffic profiling, machine learning, and adaptive rulesets. This skill covers configuring Cloudflare's DDoS protection stack including managed rulesets, WAF rules, rate limiting, Bot Management, and origin server hardening.
| Layer | Attack Type | Examples | Cloudflare Protection |
|---|---|---|---|
| L3/4 | Volumetric | SYN flood, UDP flood, DNS amplification | Network-layer DDoS managed rules |
| L3/4 | Protocol | Ping of Death, Smurf, IP fragmentation | Advanced TCP Protection |
| L7 | Application | HTTP flood, Slowloris, cache busting | HTTP DDoS managed rules, WAF, Rate Limiting |
| DNS | DNS-specific | DNS query flood, NXDOMAIN attack | Advanced DNS Protection |
Internet Traffic
│
▼
┌─────────────────────────┐
│ Cloudflare Edge (PoP) │
│ ┌───────────────────┐ │
│ │ L3/4 DDoS Mgd Rules│ │ ← Volumetric/Protocol mitigation
│ └───────────────────┘ │
│ ┌───────────────────┐ │
│ │ IP Access Rules │ │ ← Country/ASN/IP blocks
│ └───────────────────┘ │
│ ┌───────────────────┐ │
│ │ Bot Management │ │ ← Bot score, JS challenge
│ └───────────────────┘ │
│ ┌───────────────────┐ │
│ │ WAF Managed Rules │ │ ← OWASP, Cloudflare, Custom
│ └───────────────────┘ │
│ ┌───────────────────┐ │
│ │ Rate Limiting │ │ ← Request rate enforcement
│ └───────────────────┘ │
│ ┌───────────────────┐ │
│ │ HTTP DDoS Mgd Rules│ │ ← L7 flood detection
│ └───────────────────┘ │
└─────────────────────────┘
│
▼
Origin Server
# Add domain via API
curl -X POST "https://api.cloudflare.com/client/v4/zones" \
-H "Authorization: Bearer $CF_API_TOKEN" \
-H "Content-Type: application/json" \
--data '{
"name": "example.com",
"type": "full",
"plan": {"id": "enterprise"}
}'
# Update DNS records (proxy enabled for DDoS protection)
curl -X POST "https://api.cloudflare.com/client/v4/zones/$ZONE_ID/dns_records" \
-H "Authorization: Bearer $CF_API_TOKEN" \
-H "Content-Type: application/json" \
--data '{
"type": "A",
"name": "example.com",
"content": "203.0.113.50",
"proxied": true,
"ttl": 1
}'
HTTP DDoS Attack Protection override:
# List HTTP DDoS managed ruleset
curl -X GET "https://api.cloudflare.com/client/v4/zones/$ZONE_ID/rulesets/phases/ddos_l7/entrypoint" \
-H "Authorization: Bearer $CF_API_TOKEN"
# Override HTTP DDoS sensitivity and action
curl -X PUT "https://api.cloudflare.com/client/v4/zones/$ZONE_ID/rulesets/phases/ddos_l7/entrypoint" \
-H "Authorization: Bearer $CF_API_TOKEN" \
-H "Content-Type: application/json" \
--data '{
"rules": [{
"action": "execute",
"action_parameters": {
"id": "4d21379b4f9f4bb088e0729962c8b3cf",
"overrides": {
"rules": [{
"id": "fdfdac75430c4c47a422bdc024aab531",
"sensitivity_level": "medium",
"action": "block"
}],
"sensitivity_level": "high"
}
},
"expression": "true"
}]
}'
Network-layer DDoS Protection override:
curl -X PUT "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/rulesets/phases/ddos_l4/entrypoint" \
-H "Authorization: Bearer $CF_API_TOKEN" \
-H "Content-Type: application/json" \
--data '{
"rules": [{
"action": "execute",
"action_parameters": {
"id": "3b64149bfa6e4220bbbc2bd6db7c867e",
"overrides": {
"sensitivity_level": "high"
}
},
"expression": "true"
}]
}'
# Create rate limiting rule for login endpoint
curl -X POST "https://api.cloudflare.com/client/v4/zones/$ZONE_ID/rulesets/phases/http_ratelimit/entrypoint" \
-H "Authorization: Bearer $CF_API_TOKEN" \
-H "Content-Type: application/json" \
--data '{
"rules": [
{
"description": "Rate limit login attempts",
"expression": "(http.request.uri.path eq \"/api/login\")",
"action": "block",
"ratelimit": {
"characteristics": ["cf.colo.id", "ip.src"],
"period": 60,
"requests_per_period": 10,
"mitigation_timeout": 600
}
},
{
"description": "Rate limit API endpoints",
"expression": "(http.request.uri.path matches \"^/api/\")",
"action": "managed_challenge",
"ratelimit": {
"characteristics": ["cf.colo.id", "ip.src"],
"period": 60,
"requests_per_period": 100,
"mitigation_timeout": 300
}
},
{
"description": "Global rate limit per IP",
"expression": "true",
"action": "managed_challenge",
"ratelimit": {
"characteristics": ["ip.src"],
"period": 10,
"requests_per_period": 50,
"mitigation_timeout": 60
}
}
]
}'
# Block known attack patterns
curl -X POST "https://api.cloudflare.com/client/v4/zones/$ZONE_ID/rulesets/phases/http_request_firewall_custom/entrypoint" \
-H "Authorization: Bearer $CF_API_TOKEN" \
-H "Content-Type: application/json" \
--data '{
"rules": [
{
"description": "Block requests from known bad ASNs",
"expression": "(ip.geoip.asnum in {12345 67890})",
"action": "block"
},
{
"description": "Challenge requests without User-Agent",
"expression": "(not http.user_agent ne \"\")",
"action": "managed_challenge"
},
{
"description": "Block high-risk countries for admin paths",
"expression": "(http.request.uri.path contains \"/admin\" and not ip.geoip.country in {\"US\" \"CA\" \"GB\"})",
"action": "block"
},
{
"description": "Block oversized request bodies",
"expression": "(http.request.body.size gt 10000000)",
"action": "block"
}
]
}'
Ensure the origin server only accepts traffic from Cloudflare:
# Get Cloudflare IP ranges
curl https://api.cloudflare.com/client/v4/ips
# Configure origin server firewall (iptables)
# Allow only Cloudflare IPs
for ip in $(curl -s https://www.cloudflare.com/ips-v4); do
iptables -A INPUT -p tcp --dport 443 -s $ip -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -s $ip -j ACCEPT
done
# Drop all other HTTP/HTTPS traffic
iptables -A INPUT -p tcp --dport 443 -j DROP
iptables -A INPUT -p tcp --dport 80 -j DROP
# Enable Authenticated Origin Pulls (mutual TLS)
# Download Cloudflare origin CA certificate
curl -o /etc/ssl/cloudflare-origin-pull.pem \
https://developers.cloudflare.com/ssl/static/authenticated_origin_pull_ca.pem
# Nginx configuration for authenticated origin pulls
# ssl_client_certificate /etc/ssl/cloudflare-origin-pull.pem;
# ssl_verify_client on;
#!/usr/bin/env python3
"""Auto-enable Cloudflare Under Attack Mode based on traffic anomalies."""
import requests
import time
import sys
CF_API_TOKEN = "your-api-token"
ZONE_ID = "your-zone-id"
HEADERS = {
"Authorization": f"Bearer {CF_API_TOKEN}",
"Content-Type": "application/json",
}
BASE_URL = f"https://api.cloudflare.com/client/v4/zones/{ZONE_ID}"
NORMAL_RPS_THRESHOLD = 5000 # Requests per second threshold
CHECK_INTERVAL = 30 # Seconds between checks
def get_current_security_level():
"""Get current security level setting."""
resp = requests.get(
f"{BASE_URL}/settings/security_level",
headers=HEADERS
)
return resp.json()["result"]["value"]
def set_security_level(level: str):
"""Set security level (off, essentially_off, low, medium, high, under_attack)."""
resp = requests.patch(
f"{BASE_URL}/settings/security_level",
headers=HEADERS,
json={"value": level}
)
result = resp.json()
if result["success"]:
print(f"[+] Security level set to: {level}")
else:
print(f"[-] Failed to set security level: {result['errors']}")
return result["success"]
def get_traffic_analytics():
"""Get recent traffic data from Cloudflare analytics."""
query = """
query {
viewer {
zones(filter: {zoneTag: "%s"}) {
httpRequests1mGroups(limit: 1, orderBy: [datetime_DESC]) {
sum {
requests
threats
}
dimensions {
datetime
}
}
}
}
}
""" % ZONE_ID
resp = requests.post(
"https://api.cloudflare.com/client/v4/graphql",
headers=HEADERS,
json={"query": query}
)
return resp.json()
def monitor_and_respond():
"""Monitor traffic and auto-enable under attack mode."""
current_level = get_current_security_level()
print(f"[*] Current security level: {current_level}")
print(f"[*] Monitoring traffic (threshold: {NORMAL_RPS_THRESHOLD} RPS)...")
attack_mode_active = False
consecutive_normal = 0
while True:
try:
analytics = get_traffic_analytics()
zones = analytics.get("data", {}).get("viewer", {}).get("zones", [])
if zones and zones[0].get("httpRequests1mGroups"):
data = zones[0]["httpRequests1mGroups"][0]["sum"]
rps = data["requests"] / 60
threats = data["threats"]
print(f"[*] Current RPS: {rps:.0f}, Threats: {threats}")
if rps > NORMAL_RPS_THRESHOLD and not attack_mode_active:
print(f"[!] Traffic spike detected: {rps:.0f} RPS")
set_security_level("under_attack")
attack_mode_active = True
consecutive_normal = 0
elif rps <= NORMAL_RPS_THRESHOLD and attack_mode_active:
consecutive_normal += 1
if consecutive_normal >= 5:
print("[+] Traffic normalized, disabling under attack mode")
set_security_level("high")
attack_mode_active = False
consecutive_normal = 0
except Exception as e:
print(f"[-] Error: {e}")
time.sleep(CHECK_INTERVAL)
if __name__ == "__main__":
monitor_and_respond()
# Create notification policy for DDoS attacks
curl -X POST "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/alerting/v3/policies" \
-H "Authorization: Bearer $CF_API_TOKEN" \
-H "Content-Type: application/json" \
--data '{
"name": "DDoS Attack Alert",
"alert_type": "dos_attack_l7",
"enabled": true,
"mechanisms": {
"email": [{"id": "[email protected]"}],
"webhooks": [{"id": "webhook-id"}]
},
"filters": {
"zones": ["'$ZONE_ID'"]
}
}'
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
implementing-ddos-mitigation-with-cloudflare reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for implementing-ddos-mitigation-with-cloudflare matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: implementing-ddos-mitigation-with-cloudflare is focused, and the summary matches what you get after install.
I recommend implementing-ddos-mitigation-with-cloudflare for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in implementing-ddos-mitigation-with-cloudflare — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added implementing-ddos-mitigation-with-cloudflare from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in implementing-ddos-mitigation-with-cloudflare — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend implementing-ddos-mitigation-with-cloudflare for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
implementing-ddos-mitigation-with-cloudflare fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
implementing-ddos-mitigation-with-cloudflare has been reliable in day-to-day use. Documentation quality is above average for community skills.
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