Summary
This website contacted 89 IPs in 1 country across 15 domains to perform 76 HTTP transactions. The main domain is them.us and was registered NaN years ago.
Submitted URL: https://www.them.us/story/lukas-gage-interview-sexuality-marriage-mental-health-memoir
The Cisco Umbrella rank of the primary domain is #85,606 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and is legitimate.
Safety Factors
Details
Page Title
“Of Course I Was a Nightmare”: Lukas Gage on His Sexuality, Mental Illness, and New Memoir | Them
Scan Type
public
Language
English
Category
social media network
(36%)Domain Information
The domain name 'www.them.us' uses the United States country-code top-level domain (.us), featuring subdomain 'www'. The second-level label 'them' is 4 characters long with 1 vowel and three consonants. Breaking it apart gives one word: them. Average segment length settles at 4 characters. 'them' is most common in Chinese (Pinyin) usage. You may catch it in English and Albanian as well. Overall, 'www.them.us' reads as Chinese (Pinyin) with single-word simplicity.
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 |
|---|---|---|---|
| 76 | 18.173.205.99 | United States | AS16509AMAZON-02 |
| 0 | 3.171.214.91 | United States | AS16509AMAZON-02 |
| 0 | 13.32.99.70 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 13.32.99.87 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 3.167.227.121 | United States | AS16509AMAZON-02 |
| 0 | 18.66.122.76 | United States | AS16509AMAZON-02 |
| 0 | 13.226.244.60 | United States | AS16509AMAZON-02 |
| 0 | 13.32.99.58 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 13.32.99.11 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 3.167.227.10 | United States | AS16509AMAZON-02 |
| 76 | 89 | - | - |
Detected Technologies3
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
Unable to load historical scan data