Summary
This website contacted 28 IPs in 3 countries across 22 domains to perform 99 HTTP transactions. The main domain is newsradiokkob.com and was registered NaN years ago.
Submitted URL: https://www.newsradiokkob.com/2025/12/29/breaking-fernando-lovo-announced-as-new-ad-at-university-of-colorado/
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security threats and is likely a legitimate news page.
Safety Factors
Details
Page Title
BREAKING NEWS- Fernando Lovo hired as new AD at University of Colorado, will owe over $800k to UNM | 96.3 KKOB
Scan Type
public
Language
English
Category
government public service
(55%)Domain Information
You're looking at domain 'www.newsradiokkob.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The second-level label 'newsradiokkob' is 13 characters long holding 5 vowels versus eight consonants. It segments into 3 words: newsradio, kk, ob. Expect 2 characters per word on average. 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 |
|---|---|---|---|
| 10 | 54.155.55.4 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 18.172.112.49 | United States | AS16509AMAZON-02 |
| 3 | 104.18.35.42 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.184.194 | United States | AS15169GOOGLE |
| 3 | 99.86.159.42 | United States | AS16509AMAZON-02 |
| 3 | 142.251.141.104 | United States | AS15169GOOGLE |
| 3 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 3 | 54.84.131.112 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 67.202.105.34 | United States | AS32748STEADFAST |
| 3 | 142.250.185.99 | Unknown | Unknown |
| 91 | 28 | - | - |
Detected Technologies22
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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