Summary
This website contacted 61 IPs in 5 countries across 14 domains to perform 42 HTTP transactions. The main domain is sherryspellegrinoe.pages.dev.
Submitted URL: https://sherryspellegrinoe.pages.dev/nmdmy-new-social-security-for-2025-increase-otizn/
AI Security Verdict
High Risk
Confidence: 92%
Site impersonates Social Security on a suspicious, unranked domain – high‑risk phishing.
Risk Factors
Details
Page Title
Social Security For 2025 Increase - Robert T Thomas
Scan Type
public
Language
English
Category
technology software
(80%)Domain Information
You're looking at domain 'sherryspellegrinoe.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sherryspellegrinoe'. Count 5 characters in 'pages' with two vowels and 3 consonants. Segmentation suggests one 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 |
|---|---|---|---|
| 0 | 104.17.157.22 | United States | AS13335CLOUDFLARENET |
| 0 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 0 | 104.21.3.64 | United States | AS13335CLOUDFLARENET |
| 0 | 3.160.150.102 | United States | AS16509AMAZON-02 |
| 0 | 46.32.255.216 | Leeds, England, United Kingdom | AS20738Heart Internet limited |
| 0 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 0 | 76.223.67.189 | United States | AS16509AMAZON-02 |
| 0 | 104.21.18.46 | United States | AS13335CLOUDFLARENET |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 42 | 61 | - | - |
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
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