Summary
This website contacted 72 IPs in 4 countries across 16 domains to perform 117 HTTP transactions. The main domain is cambridgeday.com and was registered NaN years ago.
Submitted URL: https://www.cambridgeday.com/2025/10/24/man-on-a-bike-fired-a-gun-at-a-woman-on-a-bike-leading-to-a-police-search-friday-for-a-suspect/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Man on a bike fired a gun at a woman on a bike, leading to a police search Friday for a suspect - Cambridge Day
Scan Type
public
Language
English
Category
news/blog
(100%)Domain Information
The domain name 'www.cambridgeday.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'cambridgeday' covers 12 characters split between four vowels and eight consonants. Breaking it apart gives 2 words: cambridge, day. Median word length comes out to 6 characters. 'cambridge' is most common in English usage. It also appears in Chinese (Pinyin) and Vietnamese 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 |
|---|---|---|---|
| 1 | 18.245.46.13 | United States | AS16509AMAZON-02 |
| 1 | 104.102.57.191 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 16.15.181.127 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 142.250.186.136 | United States | AS15169GOOGLE |
| 1 | 141.193.213.11 | United States | AS209242Cloudflare London, LLC |
| 1 | 91.228.74.244 | United Kingdom | AS16509AMAZON-02 |
| 1 | 142.250.186.99 | United States | AS15169GOOGLE |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 3.5.29.28 | United States | AS14618AMAZON-AES |
| 1 | 142.250.186.42 | United States | AS15169GOOGLE |
| 117 | 72 | - | - |
Detected Technologies19
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Unable to load historical scan data