Security Scan Report: aliceeestradaw.pages.dev

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Submitted: Jan 4, 2026, 2:40:02 AMCompleted: Jan 4, 2026, 2:41:28 AMpubliccompleted
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Summary

This website contacted 19 IPs in 1 country across 15 domains to perform 45 HTTP transactions. The main domain is aliceeestradaw.pages.dev and was registered NaN years ago.

Submitted URL: https://aliceeestradaw.pages.dev/nvbjp-social-security-ssi-payment-schedule-2025-yuual/

AI Security Verdict

High Risk

Confidence: 93%

8
Risk Score

Site impersonates Social Security and is flagged malicious – high risk phishing.

Risk Factors
Malicious Indicators of Compromise match (pages.dev)
Social Security brand impersonation on a non‑official domain
Unranked domain (aliceeestradaw.pages.dev) displaying official‑brand content
Form collecting personal information (potential SSN) without legitimate purpose
Domain age information unavailable

Details

Page Title

Social Security Ssi Payment Schedule 2025 - Alice E Estrada

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(58%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'aliceeestradaw.pages.dev' is registered; it also runs on subdomain 'aliceeestradaw'. The registrable portion 'pages' spans 5 characters containing 2 vowels alongside three consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aliceeestradaw.pages.dev/nvbjp-social-security-ssi-payment-schedule-2025-yuual/

Page Load Overview

13.88s
Total Load Time
42
HTTP Requests
15
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:5,071 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
58%
documentation technical
39%
corporate
35%
finance banking
33%
news/blog
30%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.3United States
AS13335CLOUDFLARENET
2172.64.145.83United States
AS13335CLOUDFLARENET
2172.67.75.142United States
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2172.66.43.121United States
AS13335CLOUDFLARENET
2104.20.23.96United States
AS13335CLOUDFLARENET
2216.58.212.129United StatesUnknown
2172.66.44.60United States
AS13335CLOUDFLARENET
2104.21.18.46United StatesUnknown
245.223.102.78United States
AS19551INCAPSULA
4219--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112131A32A1F944736A5F83D8E561B32DEA99E102C7035B6A39FC72549F80EF6447328D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pCuCMCbCyZdapNpv+TJZPBDzgNNpZUlK0gByJmQgn10a7j5fi9IeA0i+:pCuCMCbCqapTv+TJZBDzgNNpsK0gB0tL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44662:SAMENBiAMEGAsNgUCBgMOqMGGilEqFjQAtB9yBggBU0CQFpMAAgj3BUFgiZooaRAhgIsIYG7q5GGiEAgAGHGDGMhjRAwELQA

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:bf8989df87878787
Perceptual Hash:becb9f9494949432
Difference Hash:603b2b2f2f2f2f2f
Wavelet Hash:bf99838387838787
Color Hash:#786e3a

Other Hashes

Crop Resistant:603b2b2f2f2f2f2f

Scan History

Scan history not available

Unable to load historical scan data