Summary
API
Submitted URL: https://www.an.no/live-fra-radhusplassen-for-bodo-glimt-dortmund/s/80-4-39863
AI Security Verdict
Safe Website
Confidence: 93%
Avisa Nordland (an.no) news article about a local football event. 26-year-old self-branded newspaper domain, only a site search form, and no Indicators of Compromise, malware or phishing signals.
Safety Factors (5)
Details
Page Title
Glimt, Sport | Se stemningen fra Rådhusplassen i Bodø
Scan Type
public
Domain Name Analysis
You're looking at domain 'www.an.no' on the Norwegian country-code top-level domain (.no) and includes subdomain 'www'. The second-level label 'an' is 2 characters long split between 1 vowel and 1 consonant. It segments into 1 word: an. 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 |
|---|---|---|---|
| 18 | 104.18.23.107Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 7 | 87.238.38.4 | Oslo, Oslo, Norway | AS39029Redpill Linpro AS |
| 7 | 104.26.0.90Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 7 | 104.26.5.152Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 7 | 87.238.38.6 | Oslo, Oslo, Norway | AS39029Redpill Linpro AS |
| 7 | 65.9.130.40Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 7 | 87.238.38.9 | Oslo, Oslo, Norway | AS39029Redpill Linpro AS |
| 7 | 37.19.194.80Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 7 | 212.102.56.179Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 7 | 34.98.94.8Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 249 | 34 | - | - |
Detected Technologies9
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
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