Security Scan Report: hayleyglasgowr.pages.dev

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Submitted: Jan 17, 2026, 10:32:46 AMCompleted: Jan 17, 2026, 10:34:02 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 12 domains to perform 37 HTTP transactions. The main domain is hayleyglasgowr.pages.dev and was registered NaN years ago.

Submitted URL: https://hayleyglasgowr.pages.dev/clruw-social-security-cola-2025-benefits-ajtvz/

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

Informational page about Social Security COLA 2025 with no phishing or malicious indicators.

Safety Factors
Established domain age reduces suspicion
Absence of login or payment forms
No external links to suspicious domains
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Social Security Cola 2025 Benefits - Hayley R. Glasgow

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(47%)

Domain Information

You're looking at domain 'hayleyglasgowr.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'hayleyglasgowr'. The core label 'pages' covers 5 characters holding 2 vowels versus three consonants. Segmentation suggests 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hayleyglasgowr.pages.dev/clruw-social-security-cola-2025-benefits-ajtvz/

Page Load Overview

3.94s
Total Load Time
37
HTTP Requests
13
Domains
1.0 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:5,304 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
47%
healthcare medical
40%
corporate
35%
news/blog
30%
adult content
28%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
723.36.162.153Germany
3104.20.23.96United States
AS13335CLOUDFLARENET
3172.67.143.106United States
AS13335CLOUDFLARENET
3172.67.180.98United States
AS13335CLOUDFLARENET
3150.171.27.10Germany
3172.240.108.76Germany
3188.114.97.3GermanyUnknown
3172.64.149.94GermanyUnknown
3172.67.215.81United States
AS13335CLOUDFLARENET
3142.251.208.22GermanyUnknown
3711--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D232A3252F815722A8FA7D89AA1771CDA69E601CB038F7A31FC7118AF85DF640B714D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:in2n4nSpniZdapFLjT4Z8iSYv5qcHR+H2Z0DysnqrUbLZSi/8u5NiJ92:in2n4nSpn6apVjT4eYxqcHcHA0Dysqrq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46209:KrZGQJzDCCEo4KhxAXWMjsLCA2RICEFyohBDAAEBoGAPkgx7oBIGIIMBAG0DiXEYqU1MAJBaC1QsTZKgJxMCwOBZwwJ5nR0l

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:0e08b8f1f7ff8f83
Perceptual Hash:bb4a35b5a544ca1b
Difference Hash:5a1961414699191f
Wavelet Hash:000898f3f3ff8f83
Color Hash:#79d2a6

Other Hashes

Crop Resistant:5a1961414699191f

Scan History

Scan history not available

Unable to load historical scan data