Summary
This website contacted 180 IPs in 8 countries across 57 domains to perform 267 HTTP transactions. The main domain is businesstoday.in and was registered NaN years ago.
Submitted URL: https://www.businesstoday.in/nri/study/story/us-news-2026-best-colleges-princeton-retains-no1-spot-mit-harvard-stanford-lead-here-are-top-10-500456-2025-11-01
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
US News 2026 Best Colleges: Princeton retains No.1 spot, MIT, Harvard, Stanford lead; here are top 10 - BusinessToday
Scan Type
public
Language
English
Category
social media network
(61%)Domain Information
Domain 'www.businesstoday.in' uses the Indian country-code top-level domain (.in), featuring subdomain 'www'. The second-level label 'businesstoday' is 13 characters long containing five vowels alongside 8 consonants. It segments into 2 words: business, today. Expect 6.5 characters per word on average. 'business' most often appears in English. You may catch it in Chinese (Pinyin) and Sinhala as well. Net impression: English phrase.
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 |
|---|---|---|---|
| 88 | 184.24.77.11 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 142.250.184.200 | United States | AS15169GOOGLE |
| 1 | 178.250.1.12 | France | AS44788Criteo Technology SAS |
| 1 | 54.192.35.102 | United States | AS16509AMAZON-02 |
| 1 | 23.32.97.53 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 18.244.18.122 | United States | AS16509AMAZON-02 |
| 1 | 185.89.210.20 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 1 | 103.231.98.84 | Japan | AS62713AS-PUBMATIC |
| 1 | 172.66.169.55 | United States | AS13335CLOUDFLARENET |
| 267 | 180 | - | - |
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
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