Summary
API
Submitted URL: https://nyhetslinjen.se
AI Security Verdict
Low Risk
Confidence: 70%
Established 4-year-old Swedish news-style site with self-branding, no forms and no malware/phishing indicators. Only a low-quality/aggregated content concern; no concrete malicious signal.
Risk Factors (2)
Safety Factors (4)
Details
Page Title
Nyhetslinjen: Breaking News & Current Events Coverage
Scan Type
public
Domain Name Analysis
The domain 'nyhetslinjen.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. Count 12 characters in 'nyhetslinjen' containing 3 vowels alongside 9 consonants. It segments into 6 words: ny, he, t, sl, in, jen. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
![16:31:07 October, 04° 2026 MEI could hardly walk'\- the issue that troubles one in five expectant mothers, GD @> Git eqD nyJtinerse [Fashion] [More] rangela Benson, jTiming,Location & [oct 04,'2026...](/api/v1/screenshot/f09988e3-e4e3-4c58-a823-8a9e4870b5df.png?width=640)
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 |
|---|---|---|---|
| 5 | 104.21.8.88Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 209.126.15.85 | St Louis, Missouri, United States | AS40021Contabo Inc. |
| 5 | 104.17.25.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 5 | 172.67.139.15Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 209.126.15.84 | St Louis, Missouri, United States | AS40021Contabo Inc. |
| 5 | 104.17.24.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 35 | 7 | - | - |
Detected Technologies6
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
Scan History
Scan history not available
Unable to load historical scan data