Summary
This website contacted 26 IPs in 2 countries across 12 domains to perform 41 HTTP transactions. The main domain is christopheryoshidak.pages.dev.
Submitted URL: https://christopheryoshidak.pages.dev/xkjr-social-security-direct-deposit-2025-xyniw/
AI Security Verdict
High Risk
Confidence: 92%
High‑risk phishing site impersonating Social Security to harvest banking details.
Risk Factors
Details
Page Title
Social Security Direct Deposit 2025 - Elizabeth Nakamura D.
Scan Type
public
Language
English
Category
government public service
(41%)Domain Information
Domain 'christopheryoshidak.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'christopheryoshidak'. Count 5 characters in 'pages' holding 2 vowels versus three consonants. Splitting it apart reveals 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 |
|---|---|---|---|
| 16 | 104.18.13.216 | United States | AS13335CLOUDFLARENET |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.166.38 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.185.74 | United States | AS15169GOOGLE |
| 1 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 1 | 104.21.11.140 | United States | AS13335CLOUDFLARENET |
| 1 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.43.121 | United States | AS13335CLOUDFLARENET |
| 41 | 26 | - | - |
Detected Technologies8
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