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Security Scan Report: bigthink.com

Submitted: Oct 16, 2025, 2:22:13 PMCompleted: Oct 16, 2025, 2:24:00 PMpubliccompleted
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Summary

This website contacted 117 IPs in 3 countries across 27 domains to perform 74 HTTP transactions. The main domain is bigthink.com and was registered NaN years ago.

Submitted URL: https://bigthink.com/people/rebeccamiller/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established domain with long registration history
Content matches the official brand (Big Think) and uses the correct domain
Only a standard search form is present
Domain age information unavailable

Details

Page Title

Rebecca Miller - Big Think

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(78%)

Domain Information

Domain 'bigthink.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'bigthink' spans 8 characters holding two vowels versus six consonants. Splitting it apart reveals 2 words: big, think. Average segment length settles at 4 characters. Most frequently, 'big' shows up in Chinese (Pinyin). You will also see it in English and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://bigthink.com/people/rebeccamiller/

Page Load Overview

52.97s
Total Load Time
74
HTTP Requests
27
Domains
722 KB
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-US
Text Length:3,997 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media78% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
78%
adult content
40%
finance banking
36%
education learning
35%
corporate business
33%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
74104.17.92.187United States
AS13335CLOUDFLARENET
018.244.18.32United States
AS16509AMAZON-02
0192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
0216.239.34.36United States
AS15169GOOGLE
0104.18.10.67United States
AS13335CLOUDFLARENET
018.66.147.26United States
AS16509AMAZON-02
0150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0104.19.175.188United States
AS13335CLOUDFLARENET
0104.16.108.254United States
AS13335CLOUDFLARENET
091.228.74.166United Kingdom
AS16509AMAZON-02
74117--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE8329F367A410760653C3903A34FE2DE896A42BCB5789C5B7AD16886FC5ED7C80364E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jW1YKFXsH3E1S9S6+9kpGmJsvLmLVcPwUL08TBd8e4pfS9S6+9kpGmJsvvxovvxu:jWWKFXsAr4I7J4xovpu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85455:rEgQKQEltHgMtYIBgEBQzKUgEY6UrAJFBLMEMmEUWEAUcUDG8mlkQGM0EEgEFIKOiGgBToCIgBgBoFIAWuiQGGoVIwiAIMhr

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:fcc3cf8f8f8fff81
Perceptual Hash:bbe262da1aca5ac2
Difference Hash:49161c381a38233b
Wavelet Hash:a4c2868e8e8fff81
Color Hash:#1f2593

Other Hashes

Crop Resistant:49161c381a38233b

Scan History

Scan history not available

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