Summary
This website contacted 94 IPs in 5 countries across 20 domains to perform 101 HTTP transactions. The main domain is kmit.com and was registered NaN years ago.
Submitted URL: https://kmit.com/news/030030-janelle-monae-embraces-halloqueen-role-creating-an-empire-where-art-and-freedom-collide-in-october/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Janelle Monáe embraces HalloQueen role, creating an empire where art and freedom collide in October | KMIT 105.9 FM
Scan Type
public
Language
English
Category
entertainment media
(48%)Domain Information
You're looking at domain 'kmit.com' on the commercial generic top-level domain (.com) without a subdomain. The second-level label 'kmit' is 4 characters long split between 1 vowel and three consonants. Tokenizing the label suggests 2 words: km, it. Median word length is two characters. 'km' most often appears in English. You may catch it in Chinese (Pinyin) and Chinese (Zhuyin) as well.
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 |
|---|---|---|---|
| 44 | 129.153.27.65 | Ashburn, Virginia, United States | AS31898ORACLE-BMC-31898 |
| 12 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 8 | 142.250.184.232 | United States | AS15169GOOGLE |
| 8 | 57.129.140.221 | United Kingdom | AS16276OVH SAS |
| 5 | 129.153.191.162 | Ashburn, Virginia, United States | AS31898ORACLE-BMC-31898 |
| 4 | 142.250.185.234 | United States | AS15169GOOGLE |
| 3 | 216.58.206.72 | United States | AS15169GOOGLE |
| 3 | 216.239.34.36 | United States | AS15169GOOGLE |
| 3 | 143.204.98.56 | United States | AS16509AMAZON-02 |
| 2 | 142.250.185.163 | United States | AS15169GOOGLE |
| 101 | 94 | - | - |
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
Scan History
Scan history not available
Unable to load historical scan data