Summary
This website contacted 4 IPs in 1 country across 4 domains to perform 6 HTTP transactions. The main domain is awaissmsbomber-01kmtv6wci.edgeone.app and was registered NaN years ago.
Submitted URL: https://awaissmsbomber-01kmtv6wci.edgeone.app/
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 80%
Site hosts a malicious SMS bomber tool; treat as high risk and do not use.
Risk Factors
Details
Page Title
${name} · ELITE
Scan Type
public
Language
English
Category
technology software
(95%)Domain Information
Domain 'awaissmsbomber-01kmtv6wci.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'awaissmsbomber-01kmtv6wci'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. It segments into 2 words: edge, one. Median word length is 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 |
|---|---|---|---|
| 3 | 142.251.143.99 | Singapore | |
| 1 | 216.58.206.74 | Singapore | |
| 1 | 104.17.25.14 | Singapore | |
| 1 | 43.152.26.58 | Singapore | AS139341ACE |
| 6 | 4 | - | - |
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
Unable to load historical scan data