Summary
This website contacted 15 IPs in 3 countries across 10 domains to perform 485 HTTP transactions. The main domain is cifnews.com and was registered NaN years ago.
Submitted URL: https://m.cifnews.com
Effective URL: https://www.cifnews.com/Redirected
The Cisco Umbrella rank of the primary domain is #140,972 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 72%
Site shows moderate risk due to brand impersonation but lacks credential collection.
Risk Factors
Safety Factors
Details
Page Title
雨果跨境-跨境电商品牌出海产业互联网平台
Scan Type
public
Language
Chinese
Category
social media network
(72%)Domain Information
You're looking at domain 'm.cifnews.com' on the commercial generic top-level domain (.com) and includes subdomain 'm'. The registrable portion 'cifnews' spans 7 characters split between 2 vowels and 5 consonants. Segmentation suggests three words: c, if, news. The median word length lands at 2 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 |
|---|---|---|---|
| 74 | 120.55.220.55 | Hangzhou, Zhejiang, China | AS37963Hangzhou Alibaba Advertising Co.,Ltd. |
| 67 | 122.228.214.98 | Germany | |
| 67 | 47.97.9.253 | Hangzhou, Zhejiang, China | AS37963Hangzhou Alibaba Advertising Co.,Ltd. |
| 67 | 47.97.242.7 | Hangzhou, Zhejiang, China | AS37963Hangzhou Alibaba Advertising Co.,Ltd. |
| 67 | 163.181.254.193 | France | |
| 67 | 163.181.58.166 | Unknown | |
| 67 | 184.25.51.56 | Unknown | |
| 67 | 163.181.58.176 | Unknown | Unknown |
| 67 | 23.36.163.14 | Unknown | Unknown |
| 67 | 101.226.26.145 | Unknown | Unknown |
| 1012 | 15 | - | - |
Detected Technologies1
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