Security Scan Report: bernardscarterc.pages.dev

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Submitted: Dec 31, 2025, 8:54:09 PMCompleted: Dec 31, 2025, 8:55:29 PMpubliccompleted
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Summary

This website contacted 20 IPs in 5 countries across 17 domains to perform 47 HTTP transactions. The main domain is bernardscarterc.pages.dev and was registered NaN years ago.

Submitted URL: https://bernardscarterc.pages.dev/ykaub-social-security-april-2025-mqull/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site impersonates Social Security and contains malicious external links – high‑risk phishing.

Risk Factors
Brand impersonation of Social Security on a non‑official domain
External link Indicators of Compromise to a known malicious domain (pages.dev)
Unranked domain presenting a trusted government brand
Domain age information unavailable

Details

Page Title

Social Security April 2025 - Bernard S Carter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(44%)

Domain Information

The domain name 'bernardscarterc.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'bernardscarterc'. The registrable portion 'pages' spans 5 characters with 2 vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bernardscarterc.pages.dev/ykaub-social-security-april-2025-mqull/

Page Load Overview

3.85s
Total Load Time
36
HTTP Requests
17
Domains
1.9 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:2,975 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
44%
news media journalism
31%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
1136.243.106.228Spain
1176.9.114.118United States
1172.217.23.106Sweden
1172.217.23.99Finland
1150.171.27.10Unknown
1137.175.109.98San Jose, California, United States
AS54600PEG-SV
1172.64.149.94United States
AS13335CLOUDFLARENET
1104.18.38.162Unknown
1188.114.97.3Unknown
3620--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D103272251E910777B5F83ECD1A5B31CE9AAD200CA039B6671FCA158AF84DF740B359E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:BdI21DZdapSJzsdST+Z5MMqflRrNzUcuWifgEJesB:BdI2lapgLT+7MMqflRrNz3upfgEJesB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40831:EcSAEEmiQGog0BQHrICBkGOFCZG8iR3ABFNpYjM5VriIMErICoAIiDCiuCrEFRTAgEaEGgMFBCaoIQES0MCQQIEhDFyCSqBH

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:ffff87878787dfff
Perceptual Hash:bcc3c33c32633cc3
Difference Hash:36302f3f3f373a38
Wavelet Hash:9f8f83838383839f
Color Hash:#a6d279

Scan History

Scan history not available

Unable to load historical scan data