Security Scan Report: filippalorenzenn.pages.dev

Submitted: Dec 20, 2025, 4:10:05 AMCompleted: Dec 20, 2025, 4:10:29 AMpubliccompleted
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Summary

This website contacted 24 IPs in 4 countries across 22 domains to perform 67 HTTP transactions. The main domain is filippalorenzenn.pages.dev and was registered NaN years ago.

Submitted URL: https://filippalorenzenn.pages.dev/fssbw-social-security-stimulus-check-2025-arizona-qhsud/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Impersonates Social Security on an unranked domain – high‑risk phishing site.

Risk Factors
Brand impersonation of a government agency on an unranked, non‑official domain
Unranked domain presenting a public‑sector service (Social Security) without proper authority
Domain age information unavailable

Details

Page Title

Social Security Stimulus Check 2025 Arizona - Filippa N. Lorenzen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(30%)

Domain Information

The domain name 'filippalorenzenn.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'filippalorenzenn'. Count 5 characters in 'pages' split between 2 vowels and three consonants. Breaking it apart gives 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://filippalorenzenn.pages.dev/fssbw-social-security-stimulus-check-2025-arizona-qhsud/

Page Load Overview

4.67s
Total Load Time
67
HTTP Requests
22
Domains
1.6 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:3,292 chars
Detector Agreement:80%

Website Classification

Primary Category

news/blog30% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news/blog
30%
government public service
25%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2123.58.108.236Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2172.67.175.52United States
AS13335CLOUDFLARENET
2147.93.93.62Paris, Île-de-France, France
AS47583Hostinger International Limited
2172.67.218.225United States
AS13335CLOUDFLARENET
2172.67.180.98United States
AS13335CLOUDFLARENET
223.213.161.202Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2172.240.108.76United States
AS7979SERVERS-COM
2216.58.209.195United States
AS15169GOOGLE
2172.66.44.183United States
AS13335CLOUDFLARENET
292.123.135.74Stockholm, Stockholm County, Sweden
AS20940Akamai International B.V.
6724--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D313086291AC1573372F63DCB192B71EE69AA938CB025B7673F82019DB80DF502B711D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4eZdapzvLTlZSnvh+VI8AIVE+MP3lFS/KJc9sj3:4eapDLTl4nvh+VI8AIy+2VFmKJc9sj3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43650:AhBWQIjK6AdQDfZRZgdaggQNDYA4i0EAD6RREKoILUDIRGEABBiA9AWIQGdSMQABCAwRIbpiqAUgrKQYFdEdpBpUJowOHAYJ

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:00000dffffffffff
Perceptual Hash:ab086a0ccdbbf6c2
Difference Hash:37f5cd5ac35d5b3b
Wavelet Hash:0000000f7fff8fff
Color Hash:#2d7186

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data