Summary
This website contacted 19 IPs in 3 countries across 19 domains to perform 55 HTTP transactions. The main domain is hustle1040.github.io and was registered NaN years ago.
Submitted URL: https://hustle1040.github.io/hustt
The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 93%
Phishing page impersonating Adobe Acrobat Reader to steal credentials; do not enter any information and report.
Risk Factors
Details
Page Title
Download Adobe Acrobat Reader: Free PDF viewer
Scan Type
public
Language
English
Category
technology software
(74%)Domain Information
Domain 'hustle1040.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'hustle1040'. Its registrable label 'github' stretches across 6 characters split between two vowels and 4 consonants. It segments into 3 words: g, it, hub. The median word length lands at 2 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 |
|---|---|---|---|
| 10 | 104.26.12.205 | Germany | |
| 3 | 23.48.23.180 | United Kingdom | |
| 3 | 184.24.77.152 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.36.162.197 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 165.212.8.244 | Poughkeepsie, New York, United States | AS14454SilverSky, Inc. |
| 3 | 142.251.37.8 | United States | AS15169Google LLC |
| 3 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 3 | 23.36.162.25 | Unknown | |
| 3 | 184.24.77.141 | Unknown | |
| 3 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 64 | 19 | - | - |
Detected Technologies7
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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