ScanMalware.com

Security Scan Report: lalormlauren.pages.dev

Site favicon
Submitted: Jan 11, 2026, 6:31:46 AMCompleted: Jan 11, 2026, 6:34:44 AMpubliccompleted
Loading additional data...

Summary

This website contacted 14 IPs in 4 countries across 15 domains to perform 45 HTTP transactions. The main domain is lalormlauren.pages.dev and was registered NaN years ago.

Submitted URL: https://lalormlauren.pages.dev/cfths-social-security-increase-2025-estimate-mortgage-aqdin/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Well‑established domain (>5 years)
No malicious Indicators of Compromise
No credential‑harvesting or payment forms
Content appears to be generic informational text
Domain age information unavailable

Details

Page Title

Social Security Increase 2025 Estimate Mortgage - Lalor M Lauren

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(51%)

Domain Information

Domain 'lalormlauren.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'lalormlauren'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. Segmentation suggests 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

95.31s
Total Load Time
40
HTTP Requests
15
Domains
51 KB
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:3,178 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
51%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.67.167.124Sweden
AS15169
2141.193.213.11Netherlands
AS54113
218.66.122.19India
AS2635
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
235.212.32.241Washington, District of Columbia, United States
AS15169GOOGLE
2150.171.27.10Unknown
AS13335
2172.66.40.140Unknown
AS209242
291.108.107.115Mumbai, Maharashtra, India
AS47583Hostinger International Limited
2188.114.97.3United States
AS13335CLOUDFLARENET
2172.67.166.38United States
AS13335CLOUDFLARENET
4014--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E403092241E800372A0E67DED9B2770CDDEA6725CA074B6A72FC71589F80DF681B719D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ofZdapzaTQZcdVxqxa/WOSxsCpUtDJKiU7Qjj:oHapmTQOdV4xJ7xsCatDJKiU7Qjj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41246:GJAJIJCiVkUqkARQDZcktVNIMBAIBSpUAQKjUE9AZhcCQhQCggxMMnyQgkaSQFyNCBRIgQwYIDEgN6DAVK/KViSJoJouCzqG

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:ef00b9ffffe7e7c7
Perceptual Hash:b34c32a79ccb998c
Difference Hash:0c8c6333360f0f0f
Wavelet Hash:0600fdb9cbe3c3c3
Color Hash:#6ce0d0

Other Hashes

Crop Resistant:0c8c6333360f0f0f,909090e4e4908090

Scan History

Scan history not available

Unable to load historical scan data