Security Scan Report: bwilliamsnate.pages.dev

Submitted: Jan 5, 2026, 7:43:09 AMCompleted: Jan 5, 2026, 7:51:45 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 13 domains to perform 36 HTTP transactions. The main domain is bwilliamsnate.pages.dev and was registered NaN years ago.

Submitted URL: https://bwilliamsnate.pages.dev/umntf-social-security-payment-schedule-calendar-2025-ukyti/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Site links to a malicious pages.dev domain and is flagged as high risk.

Risk Factors
External link to known malicious domain (pages.dev)
Unranked domain with suspicious social security content
Potential social engineering targeting users seeking Social Security information
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule Calendar 2025 - B Williams Nate

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(32%)

Domain Information

The domain 'bwilliamsnate.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'bwilliamsnate'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bwilliamsnate.pages.dev/umntf-social-security-payment-schedule-calendar-2025-ukyti/

Page Load Overview

1.69s
Total Load Time
36
HTTP Requests
13
Domains
1.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:2,808 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service32% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
32%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16172.66.47.13United States
AS13335CLOUDFLARENET
4142.251.141.67Netherlands
2172.66.43.121Netherlands
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.186.138Netherlands
2172.66.44.243United States
AS13335CLOUDFLARENET
2209.59.168.98United States
AS32244LIQUIDWEB
2104.21.11.140United States
AS13335CLOUDFLARENET
2104.20.23.96United States
AS13335CLOUDFLARENET
2188.114.96.3NetherlandsUnknown
3617--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182030A73149D20377A4E93E8E161B30EFAA9DA14CA03AE5936FC35985FC0DF640A714E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Nn2BYOPN7QNhLZdapzf69jHcXkST9ZDr/iZzO5UJ9D7eqleA35mTYGcgJZDR:Nn27BQap5T9lD4O5UJ9Dn5mTYGcgJZDR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40327:J2IBVCNRgCAY7XAFAYmBkSAYIA2ICgDEehoRBgQGCDoFdQKRQDlAkBqQQY0KglBArChDQQiaYA9BCqhFogBhRLghGALIASNB

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

Average Hash:ffe7ffe7878787cf
Perceptual Hash:b2c7c936c39ccb30
Difference Hash:1c8e380c0f2e1f1c
Wavelet Hash:dec38f8783838387
Color Hash:#6ce0d4

Scan History

Scan history not available

Unable to load historical scan data