Summary
This website contacted 57 IPs in 3 countries across 13 domains to perform 64 HTTP transactions. The main domain is lipsticklatitude.com and was registered NaN years ago.
Submitted URL: https://www.lipsticklatitude.com/2019/10/13/race-report-queen-bee-half-marathon/
AI Security Verdict
Details
Page Title
Race Report: Queen Bee Half Marathon – Lipstick Latitude
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
You're looking at domain 'www.lipsticklatitude.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'lipsticklatitude' spans 16 characters containing 6 vowels alongside 10 consonants. Tokenizing the label suggests two words: lipstick, latitude. Expect 8 characters per word on average. 'lipstick' most strongly signals English. It also appears in Chinese (Pinyin) and Malay contexts. Taken together, it feels English.
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 |
|---|---|---|---|
| 8 | 172.217.23.106 | United States | AS15169GOOGLE |
| 1 | 216.239.34.178 | United States | AS15169GOOGLE |
| 1 | 16.15.182.29 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 142.250.185.99 | United States | AS15169GOOGLE |
| 1 | 142.250.184.227 | United States | AS15169GOOGLE |
| 1 | 173.236.244.144 | United States | AS26347DREAMHOST-AS |
| 1 | 142.250.186.136 | United States | AS15169GOOGLE |
| 1 | 16.15.179.123 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 142.250.184.200 | United States | AS15169GOOGLE |
| 1 | 34.8.45.72 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 64 | 57 | - | - |
Detected Technologies12
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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