Summary
This website contacted 184 IPs in 5 countries across 58 domains to perform 226 HTTP transactions. The main domain is dailyom.com and was registered NaN years ago.
Submitted URL: https://www.dailyom.com/horoscopes/
The Cisco Umbrella rank of the primary domain is #546,894 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Daily Horoscopes by Sign - DailyOM
Scan Type
public
Language
English
Category
adult content
(64%)Domain Information
You're looking at domain 'www.dailyom.com' on the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'dailyom' stretches across 7 characters holding 3 vowels versus 4 consonants. It segments into two words: daily, om. Average segment length settles at 3.5 characters. The linguistic tilt is Swedish for 'daily'. Usage also turns up in Afrikaans and Norwegian contexts.
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 |
|---|---|---|---|
| 43 | 23.36.162.27 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 52.73.137.5 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 142.250.185.106 | United States | AS15169GOOGLE |
| 1 | 216.239.36.21 | Mountain View, California, United States | AS15169GOOGLE |
| 1 | 18.172.114.101 | United States | AS16509AMAZON-02 |
| 1 | 44.217.141.108 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 104.18.39.221 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.32.21 | United States | AS15169GOOGLE |
| 1 | 146.75.121.140 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 226 | 184 | - | - |
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
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