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Determine whether an IOC affects your environment, review explainable tenant matches, and safely automate enforceable indicators across SIEM, network, DNS, and endpoint controls.
Determine whether an IOC affects your environment, review explainable tenant matches, and safely automate enforceable indicators across SIEM, network, DNS, and endpoint controls. Audience: Security engineers, SOC analysts, and network administrators. Typical setup time: 5-10 minutes.
Determine whether an IOC affects your environment, review explainable tenant matches, and safely automate enforceable indicators across SIEM, network, DNS, and endpoint controls.
Step 1
Use the Query tab for IPs, domains, URLs, emails, SHA256 hashes, CVEs, or sanctioned entities, then pivot from source rationale into tenant evidence.
What success looks like
Escalate through the normal incident workflow only after validating impact; context records never create incidents directly.
Step 2
The Integrations tab shows prerequisites, expected results, and copy-ready examples for Splunk, Sentinel, Elastic, firewalls, AWS WAF, DNS, EDR, REST, and the Python SDK.
What success looks like
Preserve normal finding lifecycle resolution when intelligence later becomes stale; do not silently close historical evidence.
Step 3
Fetch the IPv4 blocklist and pipe it dynamically into an AWS WAF IPSet to block malicious scanners automatically.
What success looks like
Call `waf_client.update_ip_set()` to push the changes live.
Step 4
Use a bash script to fetch malicious domains and sinkhole them to prevent internal systems from resolving known malware or C2 infrastructure.
What success looks like
Reload your DNS daemon (e.g. `pihole restartdns reload`).
Step 5
Export known malicious SHA256 hashes to import directly into your Endpoint Detection and Response platform (like CrowdStrike Falcon) to quarantine malware on execution.
What success looks like
Execute the request to sync the IOCs with your detection policies.
Demonstration only
This configuration is designed for ease of use. To deploy scanner clients at scale, please plan your deployment architecture accordingly or contact us for enterprise best practices.
import os
import boto3
import requests
def update_waf_ipset():
api_key = os.environ.get("BLACKSHIELD_API_KEY")
waf_client = boto3.client("wafv2", region_name="us-east-1")
ip_set_id = os.environ.get("WAF_IPSET_ID")
ip_set_name = os.environ.get("WAF_IPSET_NAME")
# 1. Fetch latest IP indicators
url = "https://api.blackshield.chaplau.com/api/v1/threat-intel/blocklist/export?format=txt&indicator_type=ip"
res = requests.get(url, headers={"X-API-Key": api_key})
res.raise_for_status()
addresses = []
for ip in res.text.strip().split("\n"):
if ip and not ip.startswith("#"):
addresses.append(f"{ip}/32" if "/" not in ip else ip)
# 2. Update the WAF IPSet
ip_set = waf_client.get_ip_set(Name=ip_set_name, Scope="CLOUDFRONT", Id=ip_set_id)
lock_token = ip_set["LockToken"]
waf_client.update_ip_set(
Name=ip_set_name,
Scope="CLOUDFRONT",
Id=ip_set_id,
Addresses=addresses,
LockToken=lock_token
)
print(f"Updated WAF IPSet {ip_set_name} with {len(addresses)} addresses.")
if __name__ == "__main__":
update_waf_ipset()#!/bin/bash
# Generate a CoreDNS/Pi-Hole compatible hosts file from the domain export
export_url="https://api.blackshield.chaplau.com/api/v1/threat-intel/blocklist/export?format=csv&indicator_type=domain"
curl -s -X GET "$export_url" \
-H "X-API-Key: $BLACKSHIELD_API_KEY" \
> domains.csv
echo "# Threat Intel Sinkhole" > blocklist.hosts
tail -n +2 domains.csv | while IFS=',' read -r indicator type source severity confidence_score last_seen_at
do
if [ -n "$indicator" ]; then
echo "0.0.0.0 $indicator" >> blocklist.hosts
fi
doneimport os
import requests
def get_malicious_hashes():
api_key = os.environ.get("BLACKSHIELD_API_KEY")
url = "https://api.blackshield.chaplau.com/api/v1/threat-intel/blocklist/export?format=csv&indicator_type=sha256"
response = requests.get(url, headers={"X-API-Key": api_key})
response.raise_for_status()
ioc_payloads = []
lines = response.text.strip().split("\n")[1:]
for line in lines:
if not line:
continue
parts = line.split(",")
sha256 = parts[0]
source = parts[2] if len(parts) > 2 else "unknown source"
ioc_payloads.append({
"type": "sha256",
"value": sha256,
"policy": "detect",
"description": f"BlackShield Threat Intel source: {source}"
})
return ioc_payloads