Summary
This website contacted 39 IPs in 2 countries across 13 domains to perform 39 HTTP transactions. The main domain is btcrecover.readthedocs.io and was registered NaN years ago.
Submitted URL: https://btcrecover.readthedocs.io/
Effective URL: https://btcrecover.readthedocs.io/en/latest/Redirected
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate documentation site for BTCRecover with minimal risk.
Safety Factors
Details
Page Title
BTCRecover
Scan Type
public
Language
English
Category
cryptocurrency
(45%)Domain Information
Within the British Indian Ocean Territory country-code top-level domain (.io), 'btcrecover.readthedocs.io' is registered with subdomain 'btcrecover'. The core label 'readthedocs' covers 11 characters split between four vowels and seven consonants. Word splitting yields three words: read, the, docs. Expect four characters per word on average. 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 |
|---|---|---|---|
| 9 | 104.16.254.120 | United States | AS13335CLOUDFLARENET |
| 7 | 142.250.186.131 | United States | AS15169GOOGLE |
| 6 | 172.67.71.230 | United States | AS13335CLOUDFLARENET |
| 4 | 185.199.110.133 | United States | AS54113FASTLY |
| 3 | 140.82.121.3 | Frankfurt am Main, Hesse, Germany | AS36459GITHUB |
| 2 | 140.82.121.5 | Frankfurt am Main, Hesse, Germany | AS36459GITHUB |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 140.82.121.6 | Frankfurt am Main, Hesse, Germany | AS36459GITHUB |
| 1 | 104.16.253.120 | United States | AS13335CLOUDFLARENET |
| 1 | 185.199.109.133 | United States | AS54113FASTLY |
| 39 | 39 | - | - |
Detected Technologies2
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
Scan History
Scan history not available
Unable to load historical scan data