Security Scan Report: joannejjosed.pages.dev

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Submitted: Jan 15, 2026, 7:26:06 AMCompleted: Jan 15, 2026, 7:28:12 AMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 15 domains to perform 1 HTTP transaction. The main domain is joannejjosed.pages.dev and was registered NaN years ago.

Submitted URL: https://joannejjosed.pages.dev/sfvjk-social-security-payment-schedule-july-2025-2025-sptny/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Informational page about Social Security; low risk with no malicious activity detected.

Safety Factors
Established domain (>5 years)
No suspicious forms or data collection
No Indicators of Compromise
Informational content rather than impersonation
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule July 2025 2025 - Joanne J Jose

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(39%)

Domain Information

The domain name 'joannejjosed.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'joannejjosed'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus three consonants. Word splitting yields one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://joannejjosed.pages.dev/sfvjk-social-security-payment-schedule-july-2025-2025-sptny/

Page Load Overview

3.02s
Total Load Time
49
HTTP Requests
15
Domains
2.2 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:3,868 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service39% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
39%
news/blog
35%
corporate
35%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7141.193.213.11United States
AS209242Cloudflare London, LLC
345.223.102.78United States
AS19551INCAPSULA
3142.250.184.225Netherlands
3188.114.96.3United States
AS13335CLOUDFLARENET
367.227.189.78United States
AS32244LIQUIDWEB
3142.250.185.161Netherlands
3150.171.28.10Netherlands
346.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
3172.67.180.98Netherlands
3108.138.26.38Netherlands
4915--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17373F72150F51073659BE3D9D6E06B1AEFA0E607CA434E6532FC97949FC8EF2886321D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+K6veapWNKT4p45dyEF4tQy0dXAvMYdoOvg74BDJm0WcajcoKV:IuKT7s0dsFJm0WcajcoKV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79705:cEAUDicLIIAEJiiaFxYABIWgh7YFZEUSK1mIhAEYcGACABBDwCQ+ViKFQNARQVkwgcAxUnARB2CADBhGgEQAKSRYUC4sDggK

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:00ff00ffffffffef
Perceptual Hash:bb0678bf79406169
Difference Hash:316085b52366991b
Wavelet Hash:009f003f81bffdc9
Color Hash:#553a78

Scan History

Scan history not available

Unable to load historical scan data