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Security Scan Report: goldenagehelp.site

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Submitted: Jul 18, 2026, 11:39:33 PMCompleted: Jul 18, 2026, 11:40:43 PMpubliccompleted

Summary

This website contacted 3 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is goldenagehelp.site and was registered NaN years ago.

Submitted URL: https://goldenagehelp.site/?p=17&replytocom=15

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site is newly registered and unranked but shows no credential collection or malware; treat as moderate risk.

Risk Factors
Very new domain (<7 days)
Unranked / low reputation domain
Lack of established brand or known entity
Safety Factors
No password, payment, or disguised password fields
No external Indicators of Compromise
No malicious JavaScript patterns detected
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Creating a Safe Home Environment for the Elderly – Elderly Care

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(63%)

Domain Information

You're looking at domain 'goldenagehelp.site' on the .site top-level domain and has no subdomain. The registrable portion 'goldenagehelp' spans 13 characters holding 5 vowels versus eight consonants. Splitting it apart reveals 3 words: golden, age, help. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://goldenagehelp.site/?p=17&replytocom=15

Page Load Overview

2.24s
Total Load Time
46
HTTP Requests
6
Domains
3.7 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-GB
Text Length:6,165 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
63%
healthcare medical
57%
government public service
43%
adult content
43%
blog personal website
40%

Detected Features

Search
Articles
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16142.251.20.95Google · CDNUnited States
AS15169Google LLC
15192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
15188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
463--

Page Statistics

46
Requests
6
Unique Domains
3.9 MB
Total Size

Detected Technologies11

WordPressv7.0.2
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv7.0.2
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
WordPress Block Editor
30%
Gravatar
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB839573C1F81CA3212E9394A57473296892F51BDA025D9CB4BDB26407CBE9B063B7CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Z8dypu+84+Iz28E2QU8yQTe1trNPzP47MuBNct:Z84I+84+Iz28EH7MuBNct

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87946:QRWfDUghQBGg5ZwQJyipAjATYAhQMKzUuBUhAoyxBhBUAFQpCSCAAQwmEADCAUC6g0ACGewGkoMgOjGZQIkjVE85AceAUgRg

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:00fffbcbc78787c7
Perceptual Hash:bc4d4730626b4e1f
Difference Hash:c936333b3f3f2b0f
Wavelet Hash:00ff9bc387878387
Color Hash:#c587a0

Other Hashes

Crop Resistant:c936333b3f3f2b0f,5959210161a59161,00a8566aab938140,001028b2b2320c10,39393cbc393c3c3c,6c74343c0f8b4263

Scan History

Scan history not available

Unable to load historical scan data