Summary
This website contacted 16 IPs in 6 countries across 18 domains to perform 1 HTTP transaction. The main domain is rfq.alibaba.com and was registered NaN years ago.
Submitted URL: https://rfq.alibaba.com
The Cisco Umbrella rank of the primary domain is #5,698 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Alibaba RFQ page with no security concerns.
Safety Factors
Details
Page Title
Request for Quotation
Scan Type
public
Language
English
Category
entertainment media
(61%)Domain Information
The domain name 'rfq.alibaba.com' uses the commercial generic top-level domain (.com) and includes subdomain 'rfq'. Its registrable label 'alibaba' stretches across 7 characters split between four vowels and three consonants. Word splitting yields 2 words: ali, baba. The median word length lands at 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 |
|---|---|---|---|
| 18 | 163.181.253.194 | United States | AS24429Zhejiang Taobao Network Co.,Ltd |
| 16 | 47.89.80.90 | United States | AS45102Alibaba US Technology Co., Ltd. |
| 16 | 47.246.146.1 | United States | AS45102Alibaba US Technology Co., Ltd. |
| 16 | 47.246.50.181 | Paris, Île-de-France, France | AS24429Zhejiang Taobao Network Co.,Ltd |
| 16 | 47.246.103.58 | United States | AS45102Alibaba US Technology Co., Ltd. |
| 16 | 124.239.14.250 | China | AS4134Chinanet |
| 16 | 2.23.10.185 | Prague, Prague, Czech Republic | AS16625Akamai Technologies, Inc. |
| 16 | 18.66.110.62 | United States | AS16509Amazon.com, Inc. |
| 16 | 23.52.182.142 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 16 | 140.205.151.6 | Unknown | Unknown |
| 258 | 16 | - | - |
Detected Technologies6
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
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