Summary
This website contacted 25 IPs in 2 countries across 4 domains to perform 48 HTTP transactions. The main domain is apps.usfa.fema.gov and was registered NaN years ago.
Submitted URL: https://apps.usfa.fema.gov/firefighter-fatalities/
The Cisco Umbrella rank of the primary domain is #45,163 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Firefighter Fatalities in the United States
Scan Type
public
Language
English
Category
government
(48%)Domain Information
You're looking at domain 'apps.usfa.fema.gov' on the United States government-restricted top-level domain (.gov) with subdomain 'apps.usfa'. The core label 'fema' covers 4 characters with 2 vowels and 2 consonants. Tokenizing the label suggests one word: fema. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 43 | 172.65.90.27 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.185.136 | United States | AS15169GOOGLE |
| 1 | 23.201.247.156 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 172.65.90.25 | United States | AS13335CLOUDFLARENET |
| 1 | 172.65.90.26 | United States | AS13335CLOUDFLARENET |
| 1 | 172.65.90.24 | United States | AS13335CLOUDFLARENET |
| 1 | 3.174.46.89 | United States | AS16509AMAZON-02 |
| 1 | 2a02:26f0:3500:2bf::1955 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2600:9000:28eb:4800:5:83ea:ba80:93a1 | United States | AS16509AMAZON-02 |
| 1 | 2a02:26f0:3500:2b2::1955 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 48 | 25 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
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