Summary
This website contacted 57 IPs in 3 countries across 16 domains to perform 130 HTTP transactions. The main domain is thesiliconreview.com and was registered NaN years ago.
Submitted URL: https://thesiliconreview.com/ibm
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate news article site; no security concerns detected.
Safety Factors
Details
Page Title
IBM: Driving Innovation In Technology & Business | The Silicon Review
Scan Type
public
Language
English
Category
e-commerce
(59%)Domain Information
The domain 'thesiliconreview.com' uses the commercial generic top-level domain (.com). Count 16 characters in 'thesiliconreview' with 7 vowels and nine consonants. Word splitting yields three words: the, silicon, review. The median word length lands at six characters. 'the' is most common in English usage. Usage also turns up in Chinese (Pinyin) and Indonesian contexts.
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 |
|---|---|---|---|
| 56 | 132.148.178.210 | United States | AS398101GO-DADDY-COM-LLC |
| 29 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 18 | 108.138.26.88 | United States | AS16509AMAZON-02 |
| 15 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 4 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.185.131 | United States | AS15169GOOGLE |
| 3 | 104.18.11.207 | United States | AS13335CLOUDFLARENET |
| 2 | 142.251.140.170 | United States | AS15169GOOGLE |
| 2 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.37.42.16 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 130 | 57 | - | - |
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
Scan History
Scan history not available
Unable to load historical scan data