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Security Scan Report: zacharykdoek.pages.dev

Submitted: Nov 13, 2025, 5:28:55 AMCompleted: Nov 13, 2025, 5:30:36 AMpubliccompleted
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Summary

This website contacted 45 IPs in 0 countries across 17 domains to perform 35 HTTP transactions. The main domain is zacharykdoek.pages.dev.

Submitted URL: https://zacharykdoek.pages.dev/ntbkw-2025-social-security-payment-schedule-2025-dates-usa-2026-qqqtt/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a simple informational page with no evident security threats.

Safety Factors
Informational content only
No credential or payment collection
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 Dates Usa - Zachary K Doe

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

Domain 'zacharykdoek.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'zacharykdoek'. The core label 'pages' covers 5 characters holding two vowels versus 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zacharykdoek.pages.dev/ntbkw-2025-social-security-payment-schedule-2025-dates-usa-2026-qqqtt/

Page Load Overview

72.93s
Total Load Time
35
HTTP Requests
17
Domains
515 KB
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:3,560 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news/blog
35%
government public service
28%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35104.21.18.46UnknownUnknown
0172.66.43.121UnknownUnknown
0109.106.251.20UnknownUnknown
092.113.16.87UnknownUnknown
0104.26.5.18UnknownUnknown
0172.67.153.117UnknownUnknown
0172.66.134.99UnknownUnknown
082.98.157.73UnknownUnknown
0188.114.96.3UnknownUnknown
0188.114.97.3UnknownUnknown
3545--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193432837259C183B3A4F53DCA090F758F69B9E34D5230A7671F62588ABC1EF2066721E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Hxt2Fmap8T+F4coubcS9wVy379oJ2VJE8:HKSTEgJ0JE8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58043:FjIka+i0UqMAqGKMICMgh2DBrJGWQiCJABwgGELwARLIJYEEDAyggnQSUFECREiawiBgUmJq8CzkSHbAaexWAFTVkEFERRbB

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:8381ffffcbc3c3c3
Perceptual Hash:bc2e2c6dc6969692
Difference Hash:2333383b1b1b1b2b
Wavelet Hash:83818fcfc3c3c3c3
Color Hash:#86582d

Other Hashes

Crop Resistant:2333383b1b1b1b2b,4000c0a0a0080000

Scan History

Scan history not available

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