Summary
API
This website contacted 19 IPs in 2 countries across 21 domains to perform 64 HTTP transactions. The main domain is hustle1040.github.io and was registered 13 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 (5)
Details
Page Title
Download Adobe Acrobat Reader: Free PDF viewer
Scan Type
public
Domain Name Analysis
The domain 'hustle1040.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'hustle1040'. The second-level label 'github' is 6 characters long split between two vowels and four consonants. It segments into 3 words: g, it, hub. Median word length comes out to 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 | 144.160.125.207 | Plano, Texas, United States | AS797AT&T Services, Inc. |
| 3 | 104.17.25.14 | United States | AS13335Cloudflare, Inc. |
| 3 | 165.212.8.244 | Poughkeepsie, New York, United States | AS14454SilverSky, Inc. |
| 3 | 104.26.6.244 | Unknown | AS20940Akamai International B.V. |
| 3 | 23.36.162.197 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.53.40.218 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 216.58.206.78 | United States | AS15169Google LLC |
| 3 | 185.199.109.153 | United States | AS54113Fastly, Inc. |
| 3 | 2.23.245.90 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 64 | 19 | - | - |
Detected Technologies7
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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