Summary
This website contacted 415 IPs in 15 countries across 203 domains to perform 835 HTTP transactions. The main domain is affarsvarlden.bldt.dev and was registered NaN years ago.
Submitted URL: https://affarsvarlden.bldt.dev/
AI Security Verdict
High Risk
Confidence: 92%
Site mimics Affarsvärlden, shows circular redirects and WordPress compromise – high‑risk phishing.
Risk Factors
Details
Page Title
Affarsvärlden Spel | Knightr
Scan Type
public
Language
Swedish
Category
other
(98%)Domain Information
The domain 'affarsvarlden.bldt.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'affarsvarlden'. Its registrable label 'bldt' stretches across 4 characters with zero vowels and four consonants. Tokenizing the label suggests 2 words: bl, dt. Average segment length settles at two 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 |
|---|---|---|---|
| 83 | 213.88.149.81 | Gothenburg, Västra Götaland County, Sweden | AS1257Tele2 SWIPnet |
| 32 | 104.20.40.222 | United States | AS13335CLOUDFLARENET |
| 26 | 103.231.98.109 | Japan | AS62713AS-PUBMATIC |
| 26 | 18.196.74.108 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 25 | 35.212.104.44 | Washington, District of Columbia, United States | AS15169GOOGLE |
| 16 | 163.5.194.37 | France | AS60558Phoenix Nap, LLC. |
| 13 | 188.40.16.220 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 13 | 3.160.150.36 | United States | AS16509AMAZON-02 |
| 11 | 185.89.211.84 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 11 | 172.66.148.140 | United States | AS13335CLOUDFLARENET |
| 835 | 415 | - | - |
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
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