Security Scan Report: christinekdooleys.pages.dev

Submitted: Jan 11, 2026, 2:25:32 PMCompleted: Jan 11, 2026, 2:27:20 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 30 HTTP transactions. The main domain is christinekdooleys.pages.dev and was registered NaN years ago.

Submitted URL: https://christinekdooleys.pages.dev/mmyup-social-security-stimulus-checks-news-2025-qpsgi/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Established domain age (>5 years)
Absence of malicious Indicators of Compromise
No credential or payment collection forms
No suspicious hosting (not IPFS or cloud storage)
No brand impersonation or phishing cues
Domain age information unavailable

Details

Page Title

Social Security Stimulus Checks News 2025 - Christine K Dooley

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(38%)

Domain Information

The domain name 'christinekdooleys.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'christinekdooleys'. The second-level label 'pages' is 5 characters long containing two vowels alongside three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://christinekdooleys.pages.dev/mmyup-social-security-stimulus-checks-news-2025-qpsgi/

Page Load Overview

29.04s
Total Load Time
30
HTTP Requests
9
Domains
257 KB
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:3,747 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
38%
news/blog
35%
adult content
34%
news media journalism
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
992.113.23.185Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
3104.21.18.46United States
AS13335CLOUDFLARENET
3188.114.96.3United States
AS13335CLOUDFLARENET
3188.114.97.3United States
AS13335CLOUDFLARENET
3172.66.169.241United States
AS13335CLOUDFLARENET
3150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3104.26.0.222United States
AS13335CLOUDFLARENET
323.58.108.236Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
308--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1233B3381F906773B5F93DDA2A1B31CA59AD918DA131BBAB2F45014EB80DF6026705E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:O1N1NcNhNKZdapzoTWZMbRY1LiO47f8+F3rZ44kV48ZCivMJE:ObbgPyapsTW+lY1LipA83rZ44kV48Zlh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47336:TCPjiwoEIkeoAKiBBi+fMAJwlQI6hiSI6IRTBAgHEzAz0oUKdBiAIyBAIIgMdAZIGAGZzJkKAtlPxkYJiESOUAlIgV9MBqkE

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:ffffff878787c7ff
Perceptual Hash:b2cdcd3232389ccd
Difference Hash:2216361c0c2c1c3a
Wavelet Hash:9f828b878387878f
Color Hash:#8fe06c

Scan History

Scan history not available

Unable to load historical scan data