Summary
This website contacted 73 IPs in 4 countries across 15 domains to perform 88 HTTP transactions. The main domain is hiv.gov and was registered NaN years ago.
Submitted URL: https://www.hiv.gov:443/
Effective URL: https://www.hiv.gov/Redirected
The Cisco Umbrella rank of the primary domain is #497,415 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
HIV and AIDS Resources | HIV.gov
Scan Type
public
Language
English
Category
healthcare medical
(70%)Domain Information
The domain name 'www.hiv.gov:443' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. Count 3 characters in 'hiv' split between 1 vowel and two consonants. Segmentation suggests 1 word: hiv. Median word length is three 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 |
|---|---|---|---|
| 16 | 216.58.209.200 | United States | AS15169GOOGLE |
| 1 | 54.77.20.110 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 18.165.140.53 | United States | AS16509AMAZON-02 |
| 1 | 3.164.68.78 | United States | AS16509AMAZON-02 |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 3.174.113.29 | United States | AS16509AMAZON-02 |
| 1 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 52.208.76.107 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 3.174.113.97 | United States | AS16509AMAZON-02 |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 88 | 73 | - | - |
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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