Summary
This website contacted 13 IPs in 2 countries across 14 domains to perform 36 HTTP transactions. The main domain is adabgrahamb.pages.dev and was registered NaN years ago.
Submitted URL: https://adabgrahamb.pages.dev/lwyob-social-security-january-2025-payment-schedule-pdf-images-references-tttbq/
AI Security Verdict
Safe Website
Confidence: 92%
The site shows no suspicious activity and appears legitimate.
Safety Factors
Details
Page Title
Social Security January 2025 Payment Schedule Pdf Images References : - Ada B Graham
Scan Type
public
Language
English
Category
finance banking
(67%)Domain Information
The domain name 'adabgrahamb.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'adabgrahamb'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and 3 consonants. Breaking it apart gives 1 word: pages. 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 |
|---|---|---|---|
| 14 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 2 | 209.59.168.98 | United States | AS32244LIQUIDWEB |
| 2 | 160.153.0.38 | United States | AS209242Cloudflare London, LLC |
| 2 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.43.121 | United States | AS13335CLOUDFLARENET |
| 2 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 2 | 172.67.180.98 | United States | AS13335CLOUDFLARENET |
| 2 | 76.223.67.189 | United States | Unknown |
| 2 | 46.229.172.197 | Netherlands | AS39572DataWeb Global Group B.V. |
| 38 | 13 | - | - |
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