Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 21 HTTP transactions. The main domain is bigbrotherhoh.com and was registered NaN years ago.
Submitted URL: https://www.bigbrotherhoh.com/mickey-lee-big-brother-27-contestant-profile-strategy-breakdown/
Effective URL: https://www.bigbrotherhoh.com/.well-known/sgcaptcha/?r=%2Fmickey-lee-big-brother-27-contestant-profile-strategy-breakdown%2F&y=ipr:178.63.16.224:1766763796.924Redirected
AI Security Verdict
Details
Primary Scan Blocked — Fallback Capture Shown
The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.
Page Title
Robot Challenge Screen
Scan Type
public
Domain Information
The domain name 'www.bigbrotherhoh.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'bigbrotherhoh' is 13 characters long holding 4 vowels versus 9 consonants. Word splitting yields three words: big, brother, hoh. Median word length is 3 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 3 | 108.138.2.142 | United States | AS15169GOOGLE |
| 3 | 35.209.133.255 | Council Bluffs, Iowa, United States | AS15169GOOGLE |
| 6 | 2 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data