Security Scan Report: 7fresh.com

Redirected to:
https://www.7fresh.com/
Site favicon
Submitted: Sep 30, 2026, 3:43:40 AMCompleted: Sep 30, 2026, 3:44:25 AMpubliccompleted

This website contacted 12 IPs in 5 countries across 6 domains to perform 58 HTTP transactions. The main domain is 7fresh.com and was registered 34 years ago.

Submitted URL: https://7fresh.com

Effective URL:

https://www.7fresh.com/
Redirected

The Cisco Umbrella rank of the primary domain is #657,673 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Official 7FRESH (七鲜) site of JD Group on its own 12-year-old domain, with matching self-branding, regulatory filings, and no forms, IoCs, or malware. Legitimate.

Safety Factors (5)
Established domain (12+ years old, WELL_ESTABLISHED)
Self-branding: page presents its own brand matching its own domain — not impersonation
Official Chinese regulatory filings displayed (ICP/公安备案 11030102010484, medical device filing numbers)
Zero credential or payment forms; no cross-origin form submissions or exfiltration
No threat intelligence, YARA, Safe Browsing, or IDS hits
Domain age information unavailable

Details

Page Title

七鲜官网 - 品质生活 在七鲜

Scan Type

public

Domain Name Analysis

You're looking at domain '7fresh.com' on the commercial generic top-level domain (.com) and has no subdomain. Count 6 characters in '7fresh' split between one vowel and 4 consonants, plus 1 digit. Breaking it apart gives 2 words: 7, fresh. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://7fresh.com

Page Load Overview

8.71s
Total Load Time
16.6 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Text Length:1,167 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical76% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
76%
adult content
57%
education learning
48%
government public service
39%
blog personal website
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1436.110.180.163China
AS23724IDC, China Telecommunications Corporation
4211.144.24.157China
AS4808China Unicom Beijing Province Network
4103.107.90.172Hong Kong
AS10099China Unicom Global
4138.113.27.176Meteverse · CDNFrankfurt am Main, Hesse, Germany
AS54994Meteverse Limited.
4104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
447.246.109.97United States
AS45102Alibaba (US) Technology Co., Ltd.
4163.181.254.191United States
AS24429Zhejiang Taobao Network Co.,Ltd
4138.113.20.50Meteverse · CDNCity of London, England, United Kingdom
AS54994Meteverse Limited.
4163.171.242.126Meteverse · CDNUnited States
AS54994Meteverse Limited.
436.143.248.19Shijiazhuang, Hebei, China
AS24547Hebei Mobile Communication Company Limited
5812--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB63C722B24F39131433CC88A5C0DB2DA52A9B23C4620995F7552F7E8FD7FD60A66F49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YddZXEnea0aJivXAO9F0ANWk+mHyqMc9M08MmaZkJoTzhBeC3D:gbr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70295:RECdgBiHBwOECKIiQACEPCBlGW1QCBqdRkRw5ABtCAEuKQAACAAQYAFjENAJ1IwlGCJqiMJMBMDIWkIhBBOACBF8wNQAGGJA

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

Average Hash:7fffffe7e7ff0000
Perceptual Hash:a789258d271d8d1f
Difference Hash:c008800c0c004c4d
Wavelet Hash:00ffffe727270000
Color Hash:#c187c5

Other Hashes

Crop Resistant:c008800c0c004c4d

Scan History

Scan history not available

Unable to load historical scan data