Summary
This website contacted 49 IPs in 3 countries across 25 domains to perform 294 HTTP transactions. The main domain is united-saints.fandom.com.
Submitted URL: https://united-saints.fandom.com/wiki/Blake_Lively
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate wiki page with no security concerns
Safety Factors
Details
Page Title
Blake Lively | United Saints Wiki | Fandom
Scan Type
public
Language
English
Category
entertainment media
(93%)Domain Information
Within the commercial generic top-level domain (.com), 'united-saints.fandom.com' is registered, featuring subdomain 'united-saints'. The second-level label 'fandom' is 6 characters long with two vowels and four consonants. Word splitting yields 1 word: fandom. Median word length is 6 characters. 'fando' most often appears in Galician. You may catch it in Polish as well. Overall, 'united-saints.fandom.com' reads as Galician with single-word simplicity.
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 |
|---|---|---|---|
| 138 | 199.232.212.194 | United States | AS54113FASTLY |
| 82 | 74.120.188.194 | Frankfurt am Main, Hesse, Germany | AS22300FANDOM |
| 21 | 23.216.77.174 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 13 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 8 | 162.159.135.232 | United States | AS13335CLOUDFLARENET |
| 6 | 142.250.185.67 | United States | AS15169GOOGLE |
| 6 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 6 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 6 | 74.120.189.195 | Reston, Virginia, United States | AS22300FANDOM |
| 6 | 52.49.91.82 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 294 | 49 | - | - |
Detected Technologies4
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
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