Security Scan Report: signelauridsenl.pages.dev

Submitted: Dec 20, 2025, 2:00:06 AMCompleted: Dec 20, 2025, 2:00:25 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 16 domains to perform 43 HTTP transactions. The main domain is signelauridsenl.pages.dev and was registered NaN years ago.

Submitted URL: https://signelauridsenl.pages.dev/ariwl-social-security-stimulus-checks-2025-update-ohsnw/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Impersonates Social Security on a non‑official domain; high risk of phishing.

Risk Factors
Brand impersonation of a government agency on an unrelated domain
Unranked domain used for a purported Social Security stimulus check update
Use of a generic hosting subdomain (pages.dev) instead of an official .gov address
Domain age information unavailable

Details

Page Title

Social Security Stimulus Checks 2025 Update - Signe L. Lauridsen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

The domain 'signelauridsenl.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'signelauridsenl'. The core label 'pages' covers 5 characters with 2 vowels and three consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://signelauridsenl.pages.dev/ariwl-social-security-stimulus-checks-2025-update-ohsnw/

Page Load Overview

3.06s
Total Load Time
43
HTTP Requests
16
Domains
1.5 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:5,057 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1113.226.247.54United States
AS16509AMAZON-02
2172.240.253.132United States
AS7979SERVERS-COM
223.36.162.153Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2188.114.97.3United States
AS13335CLOUDFLARENET
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2104.18.22.177United States
AS13335CLOUDFLARENET
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.67.143.106United States
AS13335CLOUDFLARENET
2208.109.228.251United States
AS398101GO-DADDY-COM-LLC
2172.66.169.241United States
AS13335CLOUDFLARENET
4317--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D353D7E7519161366E1F579993CC6A1CD939AA21CB034F6A32AD10089FC1FF9239732F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIfapKT4jV9RdoKbTNmkuD2FVdiu6pXpp:egTavkmyuJJvVmB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63366:c0iKoB5zMASUpodgKBJALw2A2gUgIzNAKLmuGEhGGAM3QoKYmB2iKAiMEEYIiCEwhQQAgjABBMYQEG2o5CoMKE0HgUAkwBge

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:ff7f3f3f7f3f0101
Perceptual Hash:87d578c1f03c9729
Difference Hash:80c060e0d0605357
Wavelet Hash:7e3e3e3e3e3e0000
Color Hash:#1f932b

Other Hashes

Crop Resistant:80c060e0d0605357

Scan History

Scan history not available

Unable to load historical scan data