Security Scan Report: lpollackmackenzie.pages.dev

Submitted: Apr 2, 2026, 4:12:06 AMCompleted: Apr 2, 2026, 4:13:18 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 15 domains to perform 1 HTTP transaction. The main domain is lpollackmackenzie.pages.dev and was registered NaN years ago.

Submitted URL: https://lpollackmackenzie.pages.dev/dzwrn-social-security-survivor-benefits-calendar-2025-aunkf/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Informational page with no malicious activity; safe to view.

Safety Factors
Informational article about Social Security survivor benefits
No forms collecting sensitive data (email, password, payment)
Cross‑origin POST appears benign (no credential exfiltration)
Page metadata does not impersonate any major brand
Domain age information unavailable

Details

Page Title

Social Security Survivor Benefits Calendar 2025 - L Pollack Mackenzie

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'lpollackmackenzie.pages.dev' is registered, featuring subdomain 'lpollackmackenzie'. The core label 'pages' covers 5 characters containing 2 vowels alongside 3 consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lpollackmackenzie.pages.dev/dzwrn-social-security-survivor-benefits-calendar-2025-aunkf/

Page Load Overview

1.77s
Total Load Time
41
HTTP Requests
16
Domains
1.2 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:4,241 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%
news/blog
60%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
3142.251.13.95United States
AS15169Google LLC
3172.64.154.50United States
AS13335Cloudflare, Inc.
3104.21.62.69United States
3104.20.23.96United States
AS13335Cloudflare, Inc.
3146.75.120.238Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3142.251.14.94United States
AS15169Google LLC
3172.66.44.204United States
AS13335Cloudflare, Inc.
3172.67.166.38United States
AS13335Cloudflare, Inc.
3188.114.97.3United States
AS13335Cloudflare, Inc.
4113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F313F836549D2037661E5398D561B309E6A9DA18CB13DE7633FD7258DBC1EF200B328E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3RMAwRMS2RMMU5ptMRtuRM+AZdapNYT4ZYUZWCeQ78MaWdSu5/yEUXXBJDQ+Sb5P:mgGq9apOT4lWCZtRdj5/yEUXXBJDQ+SR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43474:BSSMgEFIIQDJBUyTlCEAGCGI2gNgQIQppKBgPBIOTAUhhyDAYhJiA6zoSOo2LhAWJOYAAY6QDApIEIIDiGAWkgkYkqlDADRD

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:00dfffffcfc3c7df
Perceptual Hash:bc4e5c7341674363
Difference Hash:24302d1e1e0f0f36
Wavelet Hash:009fff87c38383c3
Color Hash:#3a6378

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data