Security Scan Report: lalormlauren.pages.dev

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Submitted: Jan 5, 2026, 10:40:19 PMCompleted: Jan 5, 2026, 10:42:00 PMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 16 domains to perform 54 HTTP transactions. The main domain is lalormlauren.pages.dev and was registered NaN years ago.

Submitted URL: https://lalormlauren.pages.dev/cfths-social-security-irmaa-2025-aqdin/

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

High‑risk phishing page using a compromised WordPress subdomain and malicious external links.

Risk Factors
External malicious links to pages.dev
Compromised WordPress site paths
Brand impersonation of a government agency
Unranked domain used for phishing‑style content
Domain age information unavailable

Details

Page Title

Social Security Irmaa 2025 - Lalor M Lauren

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(43%)

Domain Information

You're looking at domain 'lalormlauren.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'lalormlauren'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lalormlauren.pages.dev/cfths-social-security-irmaa-2025-aqdin/

Page Load Overview

28.65s
Total Load Time
43
HTTP Requests
16
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:3,260 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
43%
government public service
37%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.66.169.241United States
235.227.194.51Finland
2188.114.97.3United States
AS13335CLOUDFLARENET
2172.67.166.38United States
AS13335CLOUDFLARENET
2141.193.213.20United States
AS209242Cloudflare London, LLC
2192.124.249.110United States
AS30148SUCURI-SEC
23.14.185.238Columbus, Ohio, United States
AS16509AMAZON-02
2150.171.28.10Unknown
2190.92.157.226United States
AS55293A2HOSTING
2172.66.43.121United States
AS13335CLOUDFLARENET
4319--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C203082390E910333B5EA3DCD9A17B0DE5AA6629CA034B2A76FC32484F84DF641F755D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sua0jeZdapzaTQZezVxq2Ckd0UUEJKiU7Qjj:sua0jeapmTQ4zV4230UUEJKiU7Qjj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40611:M0BQPMIgRDjRwhJoAIUDmKWMMYtAAQAAARDhkEEsEQIAkQUKYUSSUkUiUyFhBBsYIsKOKDBQAGYG4eCAQIhysoQk2AAKFyAL

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:e70018ffffffebe3
Perceptual Hash:ed4232b4b5cbc9c1
Difference Hash:0c8d732332320a0a
Wavelet Hash:0600fdb9cbcbc3c3
Color Hash:#87a9c5

Other Hashes

Scan History

Scan history not available

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