Summary
This website contacted 19 IPs in 3 countries across 15 domains to perform 52 HTTP transactions. The main domain is lillianvbochkov.pages.dev and was registered NaN years ago.
Submitted URL: https://lillianvbochkov.pages.dev/rnxfp-social-security-wage-base-2025-projection-psychology-dwtypa/
AI Security Verdict
High Risk
Confidence: 95%
Site is high‑risk due to malicious primary domain despite lack of credential forms.
Risk Factors
Details
Page Title
Social Security Wage Base 2025 Projection Psychology - Ren dewit
Scan Type
public
Language
English
Category
technology software
(46%)Domain Information
The domain 'lillianvbochkov.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'lillianvbochkov'. Count 5 characters in 'pages' with 2 vowels and three consonants. Breaking it apart gives 1 word: pages. Median word length comes out to 5 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 |
|---|---|---|---|
| 3 | 172.66.44.190 | United States | AS13335CLOUDFLARENET |
| 2 | 104.20.23.96 | Germany | |
| 2 | 136.243.106.228 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 2 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 2 | 178.33.160.243 | Roubaix, Hauts-de-France, France | AS16276OVH SAS |
| 2 | 142.250.186.99 | United States | AS15169GOOGLE |
| 2 | 176.9.114.118 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 2 | 172.66.47.66 | United States | AS13335CLOUDFLARENET |
| 2 | 104.26.14.73 | Unknown | Unknown |
| 39 | 19 | - | - |
Detected Technologies11
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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