Security Scan Report: bettyearmstrongd.pages.dev

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Submitted: Jan 12, 2026, 5:44:04 PMCompleted: Jan 12, 2026, 5:45:27 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 13 domains to perform 1 HTTP transaction. The main domain is bettyearmstrongd.pages.dev and was registered NaN years ago.

Submitted URL: https://bettyearmstrongd.pages.dev/mluov-social-security-payment-schedule-2025-for-ssi-and-ssdi-lgzrq/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Impersonates Social Security on a non‑official site; high phishing risk.

Risk Factors
Brand impersonation of Social Security Administration on non‑official domain
Unranked domain presenting government service information
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 For Ssi And Ssdi - Betty E Armstrong

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(72%)

Domain Information

You're looking at domain 'bettyearmstrongd.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'bettyearmstrongd'. Count 5 characters in 'pages' holding two vowels versus 3 consonants. Tokenizing the label suggests 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bettyearmstrongd.pages.dev/mluov-social-security-payment-schedule-2025-for-ssi-and-ssdi-lgzrq/

Page Load Overview

11.41s
Total Load Time
51
HTTP Requests
14
Domains
2.5 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:4,585 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service72% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
72%
news media journalism
68%
healthcare medical
56%
adult content
51%
finance banking
37%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15142.251.141.86Germany
3172.67.75.142Netherlands
3172.66.43.121United States
AS13335CLOUDFLARENET
3104.26.5.18Unknown
3192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
3173.236.141.159United States
AS26347DREAMHOST-AS
3172.66.44.104United States
AS13335CLOUDFLARENET
3150.171.27.10UnknownUnknown
3188.114.97.3UnknownUnknown
346.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
5113--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F63183251D01033363B93ED95A17B19EF93A62EC623061DB2FC2B449F68EB7465B14E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8apWTQFqRJee2quuz9WI2B1FMe8BKB/BwB5aGLj9fJat9fWjDx:7sTaqReoJat9fQDx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71801:gIFJRgxY8BV8BHZhASEhDEAWqsQYQUAWUAAVgUIrAAgKihRMAeAVgJISxPoBMYQmFNmkVNcF6oMTG6wYNMAr1AjsgQLCQhCA

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:00ff9fffbfff8787
Perceptual Hash:be493661413e4d3e
Difference Hash:cd0c65797b262e2e
Wavelet Hash:00ff81bd8f938387
Color Hash:#742d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data