Security Scan Report: biancamarinl.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 2 countries across 15 domains to perform 44 HTTP transactions. The main domain is pages.dev and was registered 6 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 (3)
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

Domain Name Analysis

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

Bianca Marin Oaen fAvout mR contact MME Disclaimer) AS ay Soclal Securlty 2025 Fact Sheet Changes. The ssa also announced that, for 2025, the maximum amount of an individual's earnings subject to s...

Page Load Overview

2.27s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

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
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.240.127.243Germany
AS26347DREAMHOST-AS
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:N/A

Scan History

Scan history not available

Unable to load historical scan data