Security Scan Report: whitakeremary.pages.dev

Site favicon
Submitted: Jan 8, 2026, 1:42:26 AMCompleted: Jan 8, 2026, 1:43:45 AMpubliccompleted
Loading additional data...

Summary

This website contacted 12 IPs in 2 countries across 12 domains to perform 35 HTTP transactions. The main domain is whitakeremary.pages.dev and was registered NaN years ago.

Submitted URL: https://whitakeremary.pages.dev/qoznt-social-security-direct-deposit-calendar-2025-pdf-download-fruos/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site shows no security concerns; appears legitimate and low risk.

Safety Factors
Well‑established domain (over 5 years old)
No credential or payment collection forms
No malicious Indicators of Compromise detected
No suspicious redirects or external links
Content limited to informational PDF download
Domain age information unavailable

Details

Page Title

Social Security Direct Deposit Calendar 2025 Pdf Download - Whitaker E Mary

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(39%)

Domain Information

The domain name 'whitakeremary.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'whitakeremary'. The second-level label 'pages' is 5 characters long split between 2 vowels and 3 consonants. Tokenizing the label suggests one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://whitakeremary.pages.dev/qoznt-social-security-direct-deposit-calendar-2025-pdf-download-fruos/

Page Load Overview

8.85s
Total Load Time
39
HTTP Requests
12
Domains
2.9 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:2,661 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

government public service
39%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6150.171.28.10Germany
3104.26.13.221Germany
334.54.109.196Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
3104.21.11.140United States
AS13335CLOUDFLARENET
3188.114.97.3United States
AS13335CLOUDFLARENET
3142.250.185.161United States
AS15169GOOGLE
3142.250.186.99GermanyUnknown
3192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
3142.251.208.10United States
AS15169GOOGLE
3912--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T119F2F73251E904733A5F83EDD1967718A8A8E219CA078F6275FC73549FC4DF240AB61E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:v3Zdap6/5H8xyRvCqLoHs7wsgGx9yoKlZU:napC5nqqLoM7wsgGx9yoKlO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37359:AggAgaURgwMAU3QijRhdQiLgEhIF0BCRewhCAxYCKAEgxHxCRJgyYEJChAREgKXDEinpICjYHUQcQSJLAzQBEKe4UFqziKUA

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:ff0000000000ffff
Perceptual Hash:bf43b2c0a1c42ef6
Difference Hash:4e7d657357374d1d
Wavelet Hash:ff0000398103ffff
Color Hash:#2d3086

Other Hashes

Crop Resistant:4e7d657357374d1d

Scan History

Scan history not available

Unable to load historical scan data