Summary
This website contacted 14 IPs in 1 country across 11 domains to perform 78 HTTP transactions. The main domain is thomsonreuters.com and was registered NaN years ago.
Submitted URL: https://www.thomsonreuters.com/en-us/posts/investigation-fraud-and-risk/cryptocurrency-atms/
The Cisco Umbrella rank of the primary domain is #16,898 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Thomson Reuters page with no security concerns.
Safety Factors
Details
Page Title
Cryptocurrency ATMs: Risks, rewards and getting to know your customers - Thomson Reuters Institute
Scan Type
public
Language
English
Category
corporate business
(94%)Domain Information
The domain 'www.thomsonreuters.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'thomsonreuters' spans 14 characters containing five vowels alongside nine consonants. It segments into two words: thomson, reuters. Expect seven 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 |
|---|---|---|---|
| 16 | 99.83.254.102 | United States | AS16509AMAZON-02 |
| 4 | 18.245.46.71 | United States | |
| 4 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 4 | 65.8.131.19 | United States | |
| 4 | 23.36.237.138 | United States | |
| 4 | 18.245.46.125 | United States | Unknown |
| 4 | 130.35.231.29 | Ashburn, Virginia, United States | AS31898ORACLE-BMC-31898 |
| 4 | 142.251.141.110 | United States | Unknown |
| 4 | 142.250.184.200 | United States | Unknown |
| 4 | 65.8.131.71 | United States | Unknown |
| 68 | 14 | - | - |
Detected Technologies8
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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