Security Scan Report: margaretcoley.pages.dev

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Submitted: Dec 10, 2025, 4:28:43 PMCompleted: Dec 10, 2025, 4:29:46 PMpubliccompleted
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Summary

This website contacted 55 IPs in 3 countries across 14 domains to perform 62 HTTP transactions. The main domain is margaretcoley.pages.dev.

Submitted URL: https://margaretcoley.pages.dev/ghfuuh-social-security-stimulus-checks-2025-eligibility-nzvnta/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Impersonates Social Security on an untrusted domain; high‑risk phishing site.

Risk Factors
Brand impersonation of Social Security Administration
Unranked, low‑reputation domain
Likely newly registered domain (age unknown)
Social engineering claim about stimulus checks
Domain age information unavailable

Details

Page Title

Social Security Stimulus Checks 2025 Eligibility - Margaret Coley

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(53%)

Domain Information

The domain name 'margaretcoley.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'margaretcoley'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. Segmentation suggests 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://margaretcoley.pages.dev/ghfuuh-social-security-stimulus-checks-2025-eligibility-nzvnta/

Page Load Overview

45.03s
Total Load Time
62
HTTP Requests
14
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:3,738 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service53% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
53%
adult content
34%
healthcare medical
27%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.67.74.63United States
AS13335CLOUDFLARENET
1192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
1142.250.185.182United States
AS15169GOOGLE
1104.26.1.222United States
AS13335CLOUDFLARENET
1192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
1142.250.185.150United States
AS15169GOOGLE
123.58.108.236Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1188.114.97.3United States
AS13335CLOUDFLARENET
1104.21.11.140United States
AS13335CLOUDFLARENET
1104.20.23.96United States
AS13335CLOUDFLARENET
6255--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10273F83251F4243765AB92D8A2B0BB1EEF91D607C6070B5172EC4B88EFC5FA6991724C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:r6apjT9XrnzRtZyQO8FXNSBE+A6+EMaEwaJ3Q:rNpT5rnzRtZyb85NSBE3EMaE9J3Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74699:A5AAEZjAAmbiiVnFI0FYSHFSlQAwlAEiCIagUB3AIDAEUEFMVYgFHCcSBIYUBYnQAgoIHzAgBQRgBQIggYXC3AOzggbCtJFi

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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