Malc0de Database
The domain malc0de.com remains active, but update frequency has slowed. As of 2024-2025, encryption (HTTPS everywhere) and the move to private exploit brokers (Dark0de, Genesis) have made public scraping harder. Furthermore, threat actors now use fast-flux networks where a single malware URL resolves to thousands of IPs in seconds—a nightmare for any static blocklist database.
However, because the malc0de database focuses on persistent infrastructure (the compromised web servers that host malware, not just the rotating domains), it remains a valuable static asset.
Each entry in the Malc0de database typically includes: malc0de database
You might ask: Why use Malc0de when we have VirusTotal, AlienVault OTX, and MISP?
1. The Signal-to-Noise Ratio: Commercial feeds often produce false positives. Malc0de’s entries are almost universally malicious. They were either caught by a sandbox executing a live malware sample or manually verified. There is no "suspicious" category—only "malicious." The domain malc0de
2. Legacy Threat Hunting: Many modern blue teams focus only on "Living off the Land" (LotL) binaries. But critical infrastructure (OT/ICS) still runs old Windows versions. Malc0de’s archive of old ZeuS, SpyEye, and Conficker URLs is invaluable for cleaning up ancient infections that modern EDRs ignore.
3. Simplicity: In a SOC overwhelmed by alerts, a simple blocklist of IPs and URLs can be fed directly into a firewall’s ip deny list or a Pi-hole regex filter. No API keys, no parsing, no JSON bloat. If you want to add Malc0de to your
| ✅ Good for | ❌ Not ideal for | |------------|----------------| | Home lab enthusiasts running Pi-hole / AdGuard | Enterprise with compliance requirements | | SOC analysts wanting a quick secondary indicator | Real-time API-driven automation | | Malware researchers hunting drive-by URLs | Blocking phishing or scam sites (that’s not its focus) | | Free-tier threat feeds in small orgs | Large-scale blocking (list is too small) |
If you want to add Malc0de to your threat intel stack:
Using PowerShell or Python, you can download the RSS feed and parse the XML.
Python Snippet Example:
import feedparser
feed = feedparser.parse('http://malc0de.com/rss/')
for entry in feed.entries:
print(f"Malicious URL: entry.link")
print(f"Date: entry.published")
# Send to your firewall API blocklist






