Summary
This website contacted 61 IPs in 1 country across 9 domains to perform 40 HTTP transactions. The main domain is invasivespeciesinfo.gov and was registered NaN years ago.
Submitted URL: https://www.invasivespeciesinfo.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Official US government site with no security threats detected.
Safety Factors
Details
Page Title
National Invasive Species Information Center (NISIC)
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain name 'www.invasivespeciesinfo.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The core label 'invasivespeciesinfo' covers 19 characters split between nine vowels and 10 consonants. Splitting it apart reveals 3 words: invasive, species, info. Expect 7 characters per word on average. 'invasive' most strongly signals English. It also appears in Chinese (Pinyin) and Dutch contexts.
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 |
|---|---|---|---|
| 40 | 13.33.187.112 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 142.250.185.136 | United States | AS15169GOOGLE |
| 0 | 142.250.185.67 | United States | AS15169GOOGLE |
| 0 | 216.239.34.36 | United States | AS15169GOOGLE |
| 0 | 64.233.184.155 | United States | AS15169GOOGLE |
| 0 | 142.250.186.174 | United States | AS15169GOOGLE |
| 0 | 13.32.27.21 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 216.239.32.36 | United States | AS15169GOOGLE |
| 0 | 13.32.27.50 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 52.245.234.40 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 40 | 61 | - | - |
Detected Technologies7
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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