Summary
This website contacted 15 IPs in 3 countries across 17 domains to perform 25 HTTP transactions. The main domain is dailynorseman.com and was registered NaN years ago.
Submitted URL: https://dailynorseman.com
Effective URL: https://www.dailynorseman.com/Redirected
The Cisco Umbrella rank of the primary domain is #643,185 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 85%
Legitimate news site but contains a malicious ad link; browse cautiously.
Risk Factors
Safety Factors
Details
Page Title
Daily Norseman
Scan Type
public
Language
English
Category
social media network
(53%)Domain Information
You're looking at domain 'dailynorseman.com' on the commercial generic top-level domain (.com) and has no subdomain. Count 13 characters in 'dailynorseman' holding 5 vowels versus 8 consonants. Tokenizing the label suggests 2 words: daily, norseman. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 14 | 108.138.3.93 | United States | AS16509Amazon.com, Inc. |
| 8 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 8 | 142.251.13.155 | United Kingdom | |
| 8 | 142.251.20.119 | Unknown | |
| 8 | 104.18.87.42 | United States | AS13335Cloudflare, Inc. |
| 8 | 192.0.66.165 | San Francisco, California, United States | AS2635Automattic, Inc |
| 8 | 34.120.171.7 | Kansas City, Missouri, United States | AS396982Google LLC |
| 8 | 192.0.66.223 | San Francisco, California, United States | AS2635Automattic, Inc |
| 8 | 199.232.193.246 | Unknown | Unknown |
| 8 | 87.248.119.252 | United Kingdom | AS203220Yahoo-UK Limited |
| 126 | 15 | - | - |
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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