Security Scan Report: bernardgmillere.pages.dev

Submitted: Jan 12, 2026, 8:20:53 AMCompleted: Jan 12, 2026, 8:22:28 AMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 15 domains to perform 39 HTTP transactions. The main domain is bernardgmillere.pages.dev and was registered NaN years ago.

Submitted URL: https://bernardgmillere.pages.dev/divkj-social-security-tax-limit-2025-married-filing-jointly-swoub/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate informational page with no security concerns.

Safety Factors
Well‑established domain (>5 years old)
No sensitive data collection forms
No known malicious Indicators of Compromise
Content matches the site’s purpose (financial information)
Domain age information unavailable

Details

Page Title

Social Security Tax Limit 2025 Married Filing Jointly - Bernard G Miller

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'bernardgmillere.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'bernardgmillere'. Count 5 characters in 'pages' with two vowels and 3 consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bernardgmillere.pages.dev/divkj-social-security-tax-limit-2025-married-filing-jointly-swoub/

Page Load Overview

11.50s
Total Load Time
39
HTTP Requests
15
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:3,180 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3146.75.121.171Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3172.67.75.176United States
AS13335CLOUDFLARENET
3146.75.122.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3146.75.120.238Frankfurt am Main, Hesse, Germany
AS54113FASTLY
344.242.87.186Boardman, Oregon, United States
AS16509AMAZON-02
35.79.75.212Netherlands
AS60781LeaseWeb Netherlands B.V.
3162.241.226.76Phoenix, Arizona, United States
AS31898ORACLE-BMC-31898
3104.21.18.46United States
AS13335CLOUDFLARENET
3172.66.47.119United States
AS13335CLOUDFLARENET
3913--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151F21B72909D08723F5F83EA95A13318B89DA730C9035BB2B1F661685F88DF641E724F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:QQIZdapi4QEEodp22qxdD9ON3P4tsZzQFZXX:sapZQEEodp22qxd5ON3P4tUzQFVX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36829:IeE5QJKxFQIsjkQsEQHmCgBBCIQohYyFQC8BQBGajyAGECCkhD5zCAHgABhQGWIjHg5AAS1zJGLKd4AmI5sEEFmdWCICzEIg

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:818187cfcfd7c7c7
Perceptual Hash:bc6b6e69b1841639
Difference Hash:0b2b2f3e1b2b2f2e
Wavelet Hash:8181858fcbd3c3d7
Color Hash:#2d7b86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data