Summary
This website contacted 14 IPs in 1 country across 15 domains to perform 50 HTTP transactions. The main domain is ignaciowilhelm.pages.dev and was registered NaN years ago.
Submitted URL: https://ignaciowilhelm.pages.dev/gncwbxm-social-security-2025-calendar-india-wlhlmhqw/
AI Security Verdict
High Risk
Confidence: 95%
Site is high‑risk due to malicious primary domain and deceptive government‑service impersonation.
Risk Factors
Details
Page Title
Social Security 2025 Calendar India - Ignacio Wilhelm
Scan Type
public
Language
English
Category
social media network
(72%)Domain Information
Domain 'ignaciowilhelm.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'ignaciowilhelm'. The second-level label 'pages' is 5 characters long split between 2 vowels and three consonants. It segments into one word: pages. Median word length is five 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 |
|---|---|---|---|
| 10 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 3 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 3 | 108.167.156.41 | Ashburn, Virginia, United States | AS31898ORACLE-BMC-31898 |
| 3 | 172.66.169.241 | United States | |
| 3 | 142.250.185.99 | United States | AS15169GOOGLE |
| 3 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 192.185.5.168 | United States | AS19871NETWORK-SOLUTIONS-HOSTING |
| 3 | 142.250.185.97 | United States | AS15169GOOGLE |
| 3 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 104.16.151.108 | United States | Unknown |
| 49 | 14 | - | - |
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
Unable to load historical scan data