Summary
This website contacted 15 IPs in 3 countries across 15 domains to perform 1 HTTP transaction. The main domain is dagbladet.no and was registered NaN years ago.
Submitted URL: https://dbstatic.no
Effective URL: https://www.dagbladet.no/Redirected
The Cisco Umbrella rank of the primary domain is #334,008 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news site; redirect points to official Dagbladet domain with no malicious activity.
Safety Factors
Details
Page Title
Nyheter i dag: Dagbladet med dagens nyheter 24 timer i døgnet
Scan Type
public
Language
Norwegian
Category
adult content
(93%)Domain Information
Domain 'dbstatic.no' uses the Norwegian country-code top-level domain (.no) with no subdomain. Count 8 characters in 'dbstatic' with 2 vowels and 6 consonants. Tokenizing the label suggests two words: db, static. The median word length lands at four 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 |
|---|---|---|---|
| 20 | 50.19.238.78 | Norway | |
| 11 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 11 | 104.18.35.171 | United States | AS13335Cloudflare, Inc. |
| 11 | 18.66.112.32 | United States | AS16509Amazon.com, Inc. |
| 11 | 212.102.56.179 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 11 | 172.64.151.146 | Unknown | |
| 11 | 23.67.132.201 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 11 | 104.18.31.109 | Unknown | |
| 11 | 172.64.153.95 | United States | AS13335Cloudflare, Inc. |
| 11 | 172.217.20.130 | United States | AS15169Google LLC |
| 174 | 15 | - | - |
Detected Technologies4
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
Scan history not available
Unable to load historical scan data