Security Scan Report: alilyellie.pages.dev

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Submitted: Dec 12, 2025, 6:17:38 PMCompleted: Dec 12, 2025, 6:17:59 PMpubliccompleted
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Summary

This website contacted 38 IPs in 2 countries across 13 domains to perform 33 HTTP transactions. The main domain is alilyellie.pages.dev and was registered NaN years ago.

Submitted URL: https://alilyellie.pages.dev/yaori-social-security-news-release-2025-goqmd/

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Site mimics Social Security on an untrusted domain; likely phishing or misinformation.

Risk Factors
Misleading use of the Social Security brand on an unrelated domain
Unranked/low‑reputation domain presenting official‑looking content
Potential misinformation since the site is not the official SSA source
Domain age information unavailable

Details

Page Title

Social Security News Release 2025 - A Lily Ellie

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(87%)

Domain Information

Domain 'alilyellie.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'alilyellie'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus three consonants. Tokenizing the label suggests 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alilyellie.pages.dev/yaori-social-security-news-release-2025-goqmd/

Page Load Overview

5.96s
Total Load Time
33
HTTP Requests
13
Domains
5.0 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:3,434 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
87%
blog personal website
86%
adult content
86%
news media journalism
82%
forum community discussion
80%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33188.114.97.3United States
AS13335CLOUDFLARENET
0172.67.166.38United States
AS13335CLOUDFLARENET
0146.75.121.164Frankfurt am Main, Hesse, Germany
AS54113FASTLY
035.185.53.100North Charleston, South Carolina, United States
AS396982GOOGLE-CLOUD-PLATFORM
0188.114.96.3United States
AS13335CLOUDFLARENET
065.8.131.61United States
AS16509AMAZON-02
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0146.75.121.188Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0146.75.122.62Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0172.66.169.241United States
AS13335CLOUDFLARENET
3338--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14603193292B910733A5B83D9C6957318B9A8E615CA034F7631FD72A46F85CFB01B760E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:XvUZdapNXGCg4kYkxtSg4kYkKSX5zTBZZ+aX1Pgb5chKKT8eWZC:capRTy5zTBZVX1ob5chKKT8eWg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40319:CkxOxghgiIUJlDsyMgAYECMAjhk4cIYaJgLDghBBXHCHAIrBBAFaTC2KQJGEJGBUbRfUUQbHAhWAnIwR4BADsyhTYGQgNCFE

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:0000c3f9cbc3c3db
Perceptual Hash:b9461616c96cbcb3
Difference Hash:242a2b331b1b3b13
Wavelet Hash:1200c3fbcbc3c3db
Color Hash:#bf40ac

Other Hashes

Crop Resistant:242a2b331b1b3b13

Scan History

Scan history not available

Unable to load historical scan data