Summary
This website contacted 23 IPs in 2 countries across 7 domains to perform 36 HTTP transactions. The main domain is larsen.house.gov and was registered NaN years ago.
Submitted URL: https://larsen.house.gov/news/documentsingle.aspx?DocumentID=1574
The Cisco Umbrella rank of the primary domain is #50,489 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The site is a legitimate government page with no security concerns.
Safety Factors
Details
Page Title
Larsen Encourages Constituents to Report Flood Damage Now | U.S. Representative Rick Larsen
Scan Type
public
Language
English
Category
government public service
(58%)Domain Information
The domain 'larsen.house.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'larsen'. Its registrable label 'house' stretches across 5 characters split between three vowels and two consonants. Word splitting yields one word: house. The median word length lands at 5 characters. 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 |
|---|---|---|---|
| 14 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 23.45.97.72 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 142.250.185.74 | United States | AS15169GOOGLE |
| 1 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 172.217.18.3 | United States | AS15169GOOGLE |
| 1 | 142.250.185.72 | United States | AS15169GOOGLE |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 2a02:26f0:7100:996::12a8 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2a00:1450:4001:831::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 36 | 23 | - | - |
Detected Technologies5
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
Scan history not available
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