Security Scan Report: medreviewinstitute-page.pages.dev

Redirected to: https://medreviewinstitute-page.pages.dev/weight-loss-review/va/

Submitted: Nov 15, 2025, 9:20:28 PMCompleted: Nov 15, 2025, 9:21:40 PMpubliccompleted
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Summary

This website contacted 32 IPs in 0 countries across 10 domains to perform 45 HTTP transactions. The main domain is medreviewinstitute-page.pages.dev.

Submitted URL: https://medreviewinstitute-page.pages.dev/

Effective URL: https://medreviewinstitute-page.pages.dev/weight-loss-review/va/Redirected

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

New site with health content; no clear malicious activity but monitor due to lack of reputation.

Risk Factors
New or unverified domain with no ranking
Health‑related content that could be used for illegal pharmaceutical promotion
Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise matches found
No external links or redirects
Domain age information unavailable

Details

Page Title

Med Review Institutes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(77%)

Domain Information

Domain 'medreviewinstitute-page.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'medreviewinstitute-page'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Tokenizing the label suggests 1 word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://medreviewinstitute-page.pages.dev/

Page Load Overview

23.15s
Total Load Time
45
HTTP Requests
10
Domains
2.0 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
Text Length:13,064 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
77%
e-commerce shopping
67%
blog personal website
48%
government public service
35%
news media journalism
28%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1418.66.102.11UnknownUnknown
134.8.222.81UnknownUnknown
152.208.195.197UnknownUnknown
1142.250.184.227UnknownUnknown
154.194.174.238UnknownUnknown
165.9.175.12UnknownUnknown
1142.250.185.232UnknownUnknown
1142.250.186.74UnknownUnknown
1188.114.97.3UnknownUnknown
1216.58.206.72UnknownUnknown
4532--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122338472A0A5303B013789DD79B16B5AF1E3910DD7638940BBFCC3AC1BE7C91A92255E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:dXNCvy6d5QN/chndQaMqwjyye+/cfziyqnHKLxbUeloqaitE6zfIx8BDHU:dXwvy6vQdsdX2eWGmnqBPbNHzF0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50631:iDqSAAZ2pQB47rhgBgBhQGCEMCPYKjigkIJMwmt4HJAZagLWAx0RE15MhQQIyohRJIJiAQYALBh8IBAMrEoA9MRxUAiAwJBA

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:9b81819997f3ffdf
Perceptual Hash:ad69929696c94d3c
Difference Hash:232b2b3b27273b33
Wavelet Hash:808381e993d3dbdb
Color Hash:#86582d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data