Summary
This website contacted 17 IPs in 1 country across 13 domains to perform 41 HTTP transactions. The main domain is ashlieygwendolen.pages.dev and was registered NaN years ago.
Submitted URL: https://ashlieygwendolen.pages.dev/tjbibzr-social-security-payment-schedule-2024-june-23-images-mjknrmi/
AI Security Verdict
Confirmed Scam
Confidence: 95%
Confirmed phishing scam using Social Security branding; avoid interaction.
Risk Factors
Details
Page Title
Social Security Payment Schedule 2024 June 23 - Vanna Jannelle
Scan Type
public
Language
English
Category
government public service
(61%)Domain Information
The domain 'ashlieygwendolen.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'ashlieygwendolen'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. Splitting it apart reveals one word: pages. Average segment length settles at 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 |
|---|---|---|---|
| 24 | 172.66.44.251 | United States | AS13335CLOUDFLARENET |
| 9 | 172.66.47.5 | United States | AS13335CLOUDFLARENET |
| 2 | 172.240.108.84 | United States | AS7979SERVERS-COM |
| 2 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.40.135 | United States | Unknown |
| 2 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 104.26.5.18 | United States | Unknown |
| 2 | 172.240.253.132 | United States | AS7979SERVERS-COM |
| 2 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 2 | 104.20.23.96 | United States | Unknown |
| 41 | 17 | - | - |
Detected Technologies12
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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