ScanMalware.com

SCAN INCOMPLETE - LIMITED DATA COLLECTED

There were problems collecting data from this website

The website may be blocking automated browsers (bot protection)
The site may be using geo-blocking or rate limiting
Network connectivity issues may have prevented access

LIMITED DATA

Note: There were problems collecting data during this scan, and some information may be missing or incomplete. The security analysis below is based on limited information and may not be accurate. Consider trying the scan again.

Security Scan Report: lilyhdeffell.pages.dev

Submitted: Dec 13, 2025, 9:04:48 PMCompleted: Dec 13, 2025, 9:05:34 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is lilyhdeffell.pages.dev and was registered NaN years ago.

Submitted URL: https://lilyhdeffell.pages.dev/lvvgh-social-security-payment-schedule-2025-dates-ychsv/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Page impersonates Bank of America on an unrelated domain, indicating a high‑risk phishing attempt.

Risk Factors
Brand impersonation/typosquatting on a non‑official domain
Unranked domain presenting a major financial brand
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 Dates - Lily H Deffell

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

Domain 'lilyhdeffell.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'lilyhdeffell'. The core label 'pages' covers 5 characters split between 2 vowels and three consonants. It segments into one word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lilyhdeffell.pages.dev/lvvgh-social-security-payment-schedule-2025-dates-ychsv/

Page Load Overview

8.16s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
Text Length:762 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
61%
adult content
49%
phishing scam
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.47.90United States
AS13335CLOUDFLARENET
0172.66.44.166United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2ca6United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2f5aUnited States
AS13335CLOUDFLARENET
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17DF21833A0A910373D0F93ECC1927319FAA9E525CA039E6971FC32689F85EF641A711D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:BjZdapNV+rlbXWuuP/UXqGoBteZdomiErZs:5apmxWuuP/UXqG0teZdotErG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35236:QQVrkAImmQMAIYQPELUGrjBAgYgokKkYJAbCojwKDvIoISADEThICoQWSkEQQA1HEBQAQBYRW6AIViAHTDIOBCQATCT6Dw4h

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:fffff9f9f9f9f9f1
Perceptual Hash:e99696c5694b32ca
Difference Hash:0c83133333333313
Wavelet Hash:ffff89c981818981
Color Hash:#e06cd0

Other Hashes

Crop Resistant:0c83133333333313,01a080e8e880a801,0101010101010001,838181a4818181a1

Scan History

Scan history not available

Unable to load historical scan data