First Watch Malicious Domains Data Feed | WhoisXML API

Stop Attacks Before They Launch with 97% Accuracy

It’s time to move from defense to offense. Instead of reacting to threats, our proprietary deep learning neural network predicts and blocks malicious domains at the point of registration with 97% accuracy—eliminating the concept of "patient zero."

With 12x more malicious domains detected than other leading feeds, we give your SOC the upper hand—neutralizing threats before they can attack. Traditional threat feeds fall short by missing early indicators, leaving you exposed to preventable attacks.

Catch What Others Miss

  • ✅ 97% accuracy – block domains at day zero

    Our predictive neural network detects malicious intent at registration, stopping phishing, spam, and malware campaigns before they launch.

  • ✅ 12x more attack infrastructure detected

    We discover hidden campaign domains other feeds overlook, eliminating pervasive C2 communications to obscured attack domains currently undetected.

  • ✅ No noise, just results

    Eliminate alert fatigue by focusing only on actionable intelligence relevant to emerging and ongoing threat signals.

  • ✅ 3x more effective detection without excessive costs

    Higher accuracy means fewer false positives, letting your SOC operate efficiently with less time wasted on irrelevant alerts.

A Step Ahead Across the Attack Timeline

See how First Watch’s Neural Net blocks and analyzes weaponized domains over time:

Timeline Attack Progression First Watch Neural Net
Hour Zero Attackers register a new domain Real-time monitoring detects suspicious domain registration
Hour One Infrastructure staged for attack Domains detected and proactively classified as malicious
Hour Two Domains used in phishing emails First Watch users block domains, preventing initial access
Day 6 First network compromised by attackers, malware deployed Compromised traffic monitored to uncover further insights
Day 85 Initial domain reported as malicious in commercial feeds Recursive analysis identifies additional threat patterns
Day 86 Attackers shift to other undetected domains for phishing and C2 commands Predictive analytics flag emerging phishing and existing C2 domains
Day 90 Initial phishing domain taken down for abuse Historically archived; surveillance continues
Day 91+ Persistent access maintained with obfuscated domains Entire campaign tracked through recursive monitoring and training

Practical Intelligence

Where our intelligence makes an impact:

  • Prevent phishing campaigns

    Identify and block phishing domains at registration, preventing harm before it starts.

  • Neutralize C2 infrastructure

    Detect and block C2 servers invisible to other security feeds.

  • Reduce false positives

    With 97% prediction accuracy, SOC teams focus on real threats, minimizing unnecessary alerts.

  • Proactive malware defense

    Block malicious infrastructure from day one, staying ahead of malware campaigns.

First Watch Vs. Traditional Threat Feeds

Factor First Watch Traditional Threat Intelligence Feeds
Detection at Registration ✅ Detection ❌ Reactive detection post-attack
Prediction Accuracy 97% 70-85%
Attack Infrastructure Discovery 12x more attacker domains discovered Initial attack domains only
False Positive Overblocking Risk Ad trackers, Spam, Suspended domains Critical software services, sales and marketing tools
Average Detection Time First hour 14 Months
>65%
of security specialists use CTI data to continuously monitor for threats.
(SANS, 2024)
$500 Billion+
is expected to be spent by enterprises by 2028 to combat malinformation.
(Gartner, 2024)
63+
of security professionals believe AI can enhance threat detection and response.
(Cloud Security Alliance, 2024)

Frequently Asked Questions

Can I upgrade between tiers?

Yes, upgrading between Starter, Pro, and Enterprise tiers is seamless.

How do you measure 97% accuracy?

We consider false positives as domains which may have legitimate use cases, even if those use cases are generally spam, ad trackers, or cybersquatting domains intentionally registered to defensively block domain names.

How does your solution predict domain threats so early?

With industry-leading domain registration visibility, we use a proprietary custom-built neural network trained on billions of data points to identify malicious intent at domain registration, offering unprecedented predictive accuracy.

Can I use this in my SIEM/SOAR/TIP/Blocklist?

You sure can. Anywhere you can utilize CSV files.