Security Scan Report: www.thehealthsite.com

Submitted: Oct 8, 2025, 6:04:48 AMCompleted: Oct 8, 2025, 6:06:24 AMpubliccompleted
Loading additional data...

Summary

This website contacted 158 IPs in 6 countries across 58 domains to perform 385 HTTP transactions. The main domain is thehealthsite.com and was registered NaN years ago.

Submitted URL: https://www.thehealthsite.com/news/rajvir-jawanda-death-news-punjabi-singer-dies-at-35-after-being-on-ventilator-for-11-days-following-a-fatal-road-accident-1270499/

The Cisco Umbrella rank of the primary domain is #637,173 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears legitimate but shows minor brand‑impersonation cues; no immediate threat.

Risk Factors
Brand impersonation (Google branding) on an unrelated domain
Low Cisco Umbrella ranking for a site displaying a major brand
Safety Factors
Domain age > 20 years (well‑established)
No password, payment, or credential‑harvesting forms
No malicious Indicators of Compromise detected
No noindex meta tags indicating hidden phishing pages
Domain age information unavailable

Details

Page Title

Rajvir Jawanda Death News: Punjabi Singer Dies At 35 After Being On Ventilator For 11 Days Following a Fatal Road Accident | TheHealthSite.com

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

healthcare medical

(75%)

Domain Information

Domain 'www.thehealthsite.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label 'thehealthsite' stretches across 13 characters containing five vowels alongside eight consonants. It segments into 3 words: the, health, site. Average segment length settles at four characters. 'the' is most common in Chinese (Pinyin) usage. You will also see it in English and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://www.thehealthsite.com/news/rajvir-jawanda-death-news-punjabi-singer-dies-at-35-after-being-on-ventilator-for-11-days-following-a-fatal-road-accident-1270499/

Page Load Overview

25.88s
Total Load Time
385
HTTP Requests
58
Domains
3.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:en
Text Length:63,872 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical75% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
75%
adult content
34%
news/blog
20%
forum
20%
news
15%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7123.50.131.151Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.186.142United States
AS15169GOOGLE
218.244.18.38United States
AS16509AMAZON-02
218.245.64.167United States
AS16509AMAZON-02
2216.58.206.34United States
AS15169GOOGLE
299.86.4.128United States
AS16509AMAZON-02
2142.250.186.130United States
AS15169GOOGLE
2142.250.181.234United States
AS15169GOOGLE
218.203.182.189Dublin, Leinster, Ireland
AS16509AMAZON-02
213.35.58.39United States
AS16509AMAZON-02
385158--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8B4C631F840193F663F45C4E749A70E72C7A31FE9990450D2E6476886E9E78F42E2EB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:foSDMjofC/7TUQgofC/7TUQUEf46hi7nMx2:dDMjofC/7TUQgofC/7TUQlfmMx2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501656:RREKZAgsoMS2I/WQCugBAniSoCQsAUMiIwIcAWhCAAgC4SgjAgGBJoAIkQAxgZp25JEJuUdliAMiFMgQTBiJSEeOIZWgAxDw

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:00001818181800ff
Perceptual Hash:8849733edd23dc29
Difference Hash:0571b33333332f0c
Wavelet Hash:01013d3d3d1d01ff
Color Hash:#4d2d86

Scan History

Scan history not available

Unable to load historical scan data