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Security Scan Report: sarahmwhitfield.pages.dev

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Submitted: Nov 25, 2025, 3:20:12 AMCompleted: Nov 25, 2025, 3:22:02 AMpubliccompleted
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Summary

This website contacted 56 IPs in 2 countries across 18 domains to perform 43 HTTP transactions. The main domain is sarahmwhitfield.pages.dev.

Submitted URL: https://sarahmwhitfield.pages.dev/jvgnw-social-security-payment-schedule-may-2025-pdf-pqiru/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise
No login or payment collection forms
Content appears to be a personal page with no brand impersonation
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule May 2025 Pdf - Sarah M. Whitfield

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'sarahmwhitfield.pages.dev' is registered, featuring subdomain 'sarahmwhitfield'. The second-level label 'pages' is 5 characters long holding 2 vowels versus three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sarahmwhitfield.pages.dev/jvgnw-social-security-payment-schedule-may-2025-pdf-pqiru/

Page Load Overview

3.15s
Total Load Time
43
HTTP Requests
18
Domains
1.2 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:3,194 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
26%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43188.114.96.3United States
AS13335CLOUDFLARENET
15188.114.97.3United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.66.134.99United States
AS13335CLOUDFLARENET
2142.250.184.227United States
AS15169GOOGLE
2209.59.168.98United States
AS32244LIQUIDWEB
1172.67.75.142United States
AS13335CLOUDFLARENET
1108.167.156.41Ashburn, Virginia, United States
AS19871NETWORK-SOLUTIONS-HOSTING
1142.250.74.193United States
AS15169GOOGLE
1108.138.26.115United States
AS16509AMAZON-02
4356--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED030833A0A910333A5F83ECD196B318A9A8E615CB039B7575FC72A46F84DF641B721D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:bJWtDUE2/GSY608OMu4C0kZdqZUaAVkW8ghnAuFNYLD56pyz/DA3FJxRe2i9VWwC:gpZdap6/26yzEx9i9VWsTGx9yoKlZ5W/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38498:YKodKGpCBEQ0GAEvBACAR4gFGjQVogJLHEhKkLBAhHDEUBYMQAGAAAyUgkyAAGOhRBgEAgBTUIkUO2jYhUiLaPLCRkAgCK0A

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:bb43b5c1bad089b4
Difference Hash:4d69492969690c6d
Wavelet Hash:ff01018d0101ffff
Color Hash:#bac587

Other Hashes

Crop Resistant:4d69492969690c6d

Scan History

Scan history not available

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