Summary
This website contacted 123 IPs in 9 countries across 86 domains to perform 406 HTTP transactions. The main domain is howlongtobeat.com and was registered NaN years ago.
Submitted URL: https://howlongtobeat.com/game/103900
The Cisco Umbrella rank of the primary domain is #69,997 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
403 Unavailable (IFW-U01)
Scan Type
public
Language
English
Category
entertainment media
(88%)Domain Information
The domain 'howlongtobeat.com' uses the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'howlongtobeat' spans 13 characters containing 5 vowels alongside eight consonants. Splitting it apart reveals 4 words: how, long, to, beat. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 40 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 44.219.128.126 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 104.18.25.18 | United States | AS13335CLOUDFLARENET |
| 3 | 34.254.167.109 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 63.32.149.104 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 104.16.79.73 | United States | AS13335CLOUDFLARENET |
| 3 | 141.95.33.120 | Germany | AS16276OVH SAS |
| 3 | 54.217.198.180 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 3.124.64.248 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 3 | 2.16.168.50 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 406 | 123 | - | - |
Detected Technologies3
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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