Security Scan Report: biancamarinl.pages.dev

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Submitted: Jan 2, 2026, 1:25:07 AMCompleted: Jan 2, 2026, 1:26:16 AMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 15 domains to perform 61 HTTP transactions. The main domain is biancamarinl.pages.dev and was registered NaN years ago.

Submitted URL: https://biancamarinl.pages.dev/lhdgm-social-security-2025-fact-sheet-changes-lzczf/

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing site impersonating Social Security; do not trust.

Risk Factors
External malicious Indicators of Compromise links to pages.dev
Impersonation of a government brand (Social Security) on a personal pages.dev subdomain
Unranked/low‑reputation domain used for brand‑specific content
Domain age information unavailable

Details

Page Title

Social Security 2025 Fact Sheet Changes - Bianca Marin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'biancamarinl.pages.dev' is registered, featuring subdomain 'biancamarinl'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://biancamarinl.pages.dev/lhdgm-social-security-2025-fact-sheet-changes-lzczf/

Page Load Overview

2.27s
Total Load Time
44
HTTP Requests
15
Domains
2.1 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:3,551 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
government public service
32%
adult content
25%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.97.3United States
AS13335CLOUDFLARENET
2172.67.212.207United States
AS13335CLOUDFLARENET
2199.60.103.67Germany
2172.240.127.243Germany
2104.20.23.96United States
AS13335CLOUDFLARENET
2192.124.249.6Menifee, California, United States
AS30148SUCURI-SEC
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2146.75.122.152Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2104.196.125.14North Charleston, South Carolina, United States
AS396982GOOGLE-CLOUD-PLATFORM
2172.240.127.234GermanyUnknown
4418--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B053E8A760D121366D1B57D692DC661CD9399A23CA034E5E32BD24189FC2FF913E322F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIIbapQT9youRHx+U66+7biggUBlAm4qN:0+KTi6CU10BJ9DyyM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63944:BpAUzUkQDFgGEJ1AkSAA1aAy1hAgkgCQUAKqDgXgAwabhCqAggBR2AgkAmyFMhBCYggEmeGKIwygaxiLIpTwjCA6ACJFMKpB

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:0000007fffffffff
Perceptual Hash:890430ebbeb63abc
Difference Hash:c8f2b44d13931b3b
Wavelet Hash:00000020fffbffff
Color Hash:#931f3e

Scan History

Scan history not available

Unable to load historical scan data