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Security Scan Report: waltergbattlesk.pages.dev

Submitted: Nov 15, 2025, 4:19:06 AMCompleted: Nov 15, 2025, 4:20:36 AMpubliccompleted
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Summary

This website contacted 52 IPs in 0 countries across 15 domains to perform 35 HTTP transactions. The main domain is waltergbattlesk.pages.dev.

Submitted URL: https://waltergbattlesk.pages.dev/bopng-social-security-payment-schedule-2025-january-gswiu/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears to be a legitimate informational page.

Safety Factors
Informational content only
No data collection fields
No known malicious activity associated with the domain
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 January - Walter G Battles

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain name 'waltergbattlesk.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'waltergbattlesk'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. Word splitting yields 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://waltergbattlesk.pages.dev/bopng-social-security-payment-schedule-2025-january-gswiu/

Page Load Overview

66.57s
Total Load Time
35
HTTP Requests
15
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:2,797 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
25%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35188.114.96.3UnknownUnknown
0172.66.40.135UnknownUnknown
0142.250.186.97UnknownUnknown
0104.21.18.46UnknownUnknown
0104.26.13.221UnknownUnknown
0192.0.78.143UnknownUnknown
0172.66.134.99UnknownUnknown
0150.171.28.10UnknownUnknown
0173.212.192.14UnknownUnknown
046.229.172.197UnknownUnknown
3552--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4031B33A1F910363E5FD3ECC1957728BDA8A611CA035BA635FC62645F84DFA01A760E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ZXUZdapNXGCg4kYkxtSg4kYkKOXRq9TEc9LMGu9WZXH:2apRTGRq9TE4Mx9WVH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40035:gBAASDQADIVBhRTwCh0iFVUioxAApVh/EEICYiBGpAUDOguPZFDQVFPAHNRgIJ80AHoEg4EBaAAhYIhoBDgKBwZhYDUbRAqq

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:dfc7fbfb8787ffc7
Perceptual Hash:b8cfc73630cd3036
Difference Hash:302c2b330f0f031f
Wavelet Hash:9f00dbc38783c3c7
Color Hash:#4042bf

Other Hashes

Crop Resistant:302c2b330f0f031f,000307b129430300

Scan History

Scan history not available

Unable to load historical scan data