Summary
This website contacted 16 IPs in 2 countries across 7 domains to perform 76 HTTP transactions. The main domain is apphop.co and was registered NaN years ago.
Submitted URL: http://apphop.co/
Effective URL: https://apphop.co/Redirected
AI Security Verdict
Safe Website
Confidence: 92%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
apphop.co
Scan Type
public
Language
English
Category
technology software
(55%)Domain Information
You're looking at domain 'apphop.co' on the Colombian country-code top-level domain (.co) and has no subdomain. The second-level label 'apphop' is 6 characters long containing 2 vowels alongside four consonants. Splitting it apart reveals 2 words: app, hop. Median word length comes out to three 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 |
|---|---|---|---|
| 16 | 45.40.130.51 | United States | AS26496AS-26496-GO-DADDY-COM-LLC |
| 4 | 13.248.243.5 | United States | AS16509AMAZON-02 |
| 4 | 95.100.110.3 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.126.37.138 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.20.35.239 | United States | AS13335CLOUDFLARENET |
| 4 | 95.100.110.21 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 76.223.105.230 | United States | AS16509AMAZON-02 |
| 4 | 172.217.18.4 | United States | AS15169GOOGLE |
| 4 | 23.37.63.62 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 2a02:26f0:480:5ad::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 76 | 16 | - | - |
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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