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Security Scan Report: claudejstreetert.pages.dev

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Submitted: Dec 28, 2025, 3:46:42 AMCompleted: Dec 28, 2025, 3:47:02 AMpubliccompleted
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Summary

This website contacted 11 IPs in 1 country across 14 domains to perform 58 HTTP transactions. The main domain is claudejstreetert.pages.dev and was registered NaN years ago.

Submitted URL: https://claudejstreetert.pages.dev/vbiih-social-security-check-schedule-2025-pozlm/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site impersonates Social Security and contains malicious external links; treat as high‑risk phishing.

Risk Factors
Malicious external link to pages.dev (known malicious Indicators of Compromise)
Impersonation of the U.S. Social Security service on an unranked domain
Presence of multiple Indicators of Compromise matches increases threat confidence
Unranked domain (claudejstreetert.pages.dev) claiming official authority
Domain age information unavailable

Details

Page Title

Social Security Check Schedule 2025 - Claude J Streeter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(70%)

Domain Information

The domain name 'claudejstreetert.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'claudejstreetert'. The second-level label 'pages' is 5 characters long with two vowels and 3 consonants. Tokenizing the label suggests one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://claudejstreetert.pages.dev/vbiih-social-security-check-schedule-2025-pozlm/

Page Load Overview

0.53s
Total Load Time
58
HTTP Requests
0
Domains
N/A
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:4,789 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
70%
finance banking
70%
news media journalism
69%
healthcare medical
61%
travel tourism
52%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30172.66.47.64United States
AS13335CLOUDFLARENET
3192.0.77.2UnknownUnknown
1104.20.23.96UnknownUnknown
1150.171.28.10UnknownUnknown
1142.250.185.129UnknownUnknown
1172.66.169.241United States
AS13335CLOUDFLARENET
113.226.247.222UnknownUnknown
1172.66.40.135UnknownUnknown
1142.251.141.97UnknownUnknown
1104.21.18.46United States
AS13335CLOUDFLARENET
011--

Detected Technologies5

WordPressv6.5.5
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.5.5
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139130832508D05373A0F57EDD1A1B71DEA6A9F30CB139E6A72F560185B80FF681AB09D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:jZdapF9+DpT4Z8opT8z05ESroygcRW72gtYJpUy6D:japiT4dpT8zWdvgcc72gtYJpUy6D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43320:FeFQAwylDmElAsoCHJlQ5B0MBmGGVACAATCEEdigCpAyCAKAiOGDEIQAQFrEARChAFRCpoVJlivCoAAdAplGCkCUBAhyoM1z

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:00000000ffffffff
Perceptual Hash:b84633e9c94173e6
Difference Hash:d13169b3233b1e1a
Wavelet Hash:00000000ffffffff
Color Hash:#d22d6c

Other Hashes

Crop Resistant:c36969b3203b1e1a,d1c1210369690fb3

Scan History

Scan history not available

Unable to load historical scan data