Security Scan Report: hunterbernicem.pages.dev

Submitted: Apr 16, 2026, 4:32:20 PMCompleted: Apr 16, 2026, 4:33:32 PMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 14 domains to perform 18 HTTP transactions. The main domain is hunterbernicem.pages.dev and was registered NaN years ago.

Submitted URL: https://hunterbernicem.pages.dev/jsfna-social-security-max-payment-2025-zqslb/

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The site shows moderate risk due to unknown subdomain age, unranked reputation, and a form, but lacks credential collection or malware.

Risk Factors
Unknown subdomain age
Unranked domain reputation
Presence of a form on a brand‑new subdomain
High JavaScript obfuscation without malware detection
Potential compromised WordPress indicators
Safety Factors
No credential or payment fields in the form
No Indicators of Compromise matched in threat intel
No JavaScript malware YARA patterns detected
No network IDS alerts
Self‑branding matches the subdomain (no brand impersonation)
Domain age information unavailable

Details

Page Title

Social Security Max Payment 2025 - Hunter Bernice M

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'hunterbernicem.pages.dev' is registered, featuring subdomain 'hunterbernicem'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hunterbernicem.pages.dev/jsfna-social-security-max-payment-2025-zqslb/

Page Load Overview

2.98s
Total Load Time
32
HTTP Requests
15
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:3,523 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
6108.138.26.64United States
AS15169Google LLC
252.5.159.58Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
218.66.122.122United States
AS16509Amazon.com, Inc.
2104.26.15.73United States
AS13335Cloudflare, Inc.
2150.171.28.10United States
AS396982Google LLC
2172.66.44.174United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.26.4.18United States
AS13335Cloudflare, Inc.
2104.198.108.103The Dalles, Oregon, United States
AS396982Google LLC
2176.9.114.118Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
3214--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A43C8A7509521366D1797A693CC271CA9389E32CA034E6A71BE20185FC2FF913D332F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIbapjwj5ImXmmkiD/H87QGBKnjq8tDFy:65Aql8tDFyOe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56004:UHAIAIgANCSTRGQ4RKEIAAYAtw8EImISBACQQ4sAWIIAHCBCBIBCsMhCSIBgEHyXISOIoJQACILokNEYCWDArqhI8MgCUQAu

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:0000ffffff87cf87
Perceptual Hash:ba413232c7c7bac9
Difference Hash:8c1333331b2f2f2f
Wavelet Hash:0000d9ffcf87c787
Color Hash:#6cdce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data