Summary
This website contacted 11 IPs in 2 countries across 3 domains to perform 59 HTTP transactions. The main domain is spoilertown.com and was registered NaN years ago.
Submitted URL: https://spoilertown.com/incendies-2010/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Incendies (2010) summary & plot - Spoiler Town
Scan Type
public
Language
English
Category
adult content
(43%)Domain Information
Domain 'spoilertown.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'spoilertown' is 11 characters long split between 4 vowels and 7 consonants. Tokenizing the label suggests two words: spoiler, town. Median word length comes out to 5.5 characters. Most frequently, 'spoiler' shows up in English. It also appears in Chinese (Pinyin) and Catalan contexts. Taken together, it feels English.
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 |
|---|---|---|---|
| 9 | 142.250.184.232 | United States | AS15169GOOGLE |
| 5 | 172.67.210.74 | United States | AS13335CLOUDFLARENET |
| 5 | 216.239.32.36 | United States | AS15169GOOGLE |
| 5 | 104.21.61.124 | United States | AS13335CLOUDFLARENET |
| 5 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 5 | 2606:4700:3032::6815:3d7c | United States | AS13335CLOUDFLARENET |
| 5 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 5 | 2a00:1450:4001:81d::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2606:4700:3030::ac43:d24a | United States | AS13335CLOUDFLARENET |
| 59 | 11 | - | - |
Detected Technologies12
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
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