Security Scan Report: biomedical-observer.pages.dev

Submitted: Apr 27, 2026, 10:22:18 PMCompleted: Apr 27, 2026, 10:23:50 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 10 domains to perform 1 HTTP transaction. The main domain is biomedical-observer.pages.dev and was registered NaN years ago.

Submitted URL: https://biomedical-observer.pages.dev/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site is a newly created subdomain on a hosting platform with unranked reputation and contains generic forms, but shows no malicious activity or brand impersonation.

Risk Factors
Unknown subdomain age on a hosting platform
Unranked domain reputation
Presence of forms on a newly created subdomain
Safety Factors
Self‑branding matches the domain (no brand impersonation)
Page type is an article (og:type="article") indicating informational content
No password or payment fields, no credential exfiltration observed
No malicious IoC, YARA, or IDS alerts detected
Domain age information unavailable

Details

Page Title

The Biomedical Observer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(62%)

Domain Information

The domain 'biomedical-observer.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'biomedical-observer'. Count 5 characters in 'pages' with two vowels and 3 consonants. Segmentation suggests 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://biomedical-observer.pages.dev/

Page Load Overview

1.26s
Total Load Time
38
HTTP Requests
12
Domains
3.0 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:30,959 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
62%
education learning
59%
healthcare medical
58%
adult content
37%
government public service
33%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.20.94United States
AS15169Google LLC
4142.251.157.119United States
AS15169Google LLC
4172.64.150.190United States
AS13335Cloudflare, Inc.
4142.251.110.132United States
AS15169Google LLC
4142.251.13.97United States
AS15169Google LLC
4172.66.47.152United States
AS13335Cloudflare, Inc.
4142.251.20.102United States
AS15169Google LLC
4142.251.110.156United States
AS15169Google LLC
4142.251.20.95United States
AS15169Google LLC
389--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105E3B71378D0093B0337929CBDA07759EE53B273C7191961798C694B6B87E878E2A1CF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vipwf4+aEm8+2nXtIYHdI2aqSSNzUowxG/PFHYbWF4QaO7mJZOC07Jsij:vLNXdIkdI2AowxGX2bcC07x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148475:ANFBjUkiGQB7jjkhBgMDA0MMQKpIRAwoAUQkSQIIWSwKkwKSvhW43mDVAIcbgowGFEXEgAEOKEGigxopRCEAJpYzRgwCAwUA

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:dbc3c3e3cffbcfcf
Perceptual Hash:b16c31cfc693cc32
Difference Hash:12969e869e329a9e
Wavelet Hash:02c3c3c3c3ebcbc3
Color Hash:#932d1f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data