Summary
This website contacted 108 IPs in 3 countries across 21 domains to perform 123 HTTP transactions. The main domain is fanfunwithdamianlewis.com and was registered NaN years ago.
Submitted URL: https://www.fanfunwithdamianlewis.com/?tag=fackham-hall
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Fackham Hall – Fan Fun with Damian Lewis
Scan Type
public
Language
English
Category
social media network
(48%)Domain Information
The domain 'www.fanfunwithdamianlewis.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'fanfunwithdamianlewis' spans 21 characters with 8 vowels and 13 consonants. Breaking it apart gives 5 words: fan, fun, with, damian, lewis. Average segment length settles at four characters. 'fan' is most common in Chinese (Pinyin) usage. Secondary signals appear in English and Swedish. Overall, 'www.fanfunwithdamianlewis.com' reads as Chinese (Pinyin).
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 16 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 172.217.18.14 | United States | AS15169GOOGLE |
| 1 | 142.250.185.206 | United States | AS15169GOOGLE |
| 1 | 142.250.186.65 | United States | AS15169GOOGLE |
| 1 | 142.250.185.78 | United States | AS15169GOOGLE |
| 1 | 142.250.181.234 | United States | AS15169GOOGLE |
| 1 | 142.250.185.182 | United States | AS15169GOOGLE |
| 1 | 216.58.206.42 | United States | AS15169GOOGLE |
| 1 | 142.250.185.66 | United States | AS15169GOOGLE |
| 123 | 108 | - | - |
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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