Security Scan Report: smart.jd.com

Redirected to:
https://smart.jd.com/pc
Site favicon
Submitted: Sep 20, 2026, 10:39:04 AMCompleted: Sep 20, 2026, 10:39:49 AMpubliccompleted

This website contacted 18 IPs in 7 countries across 19 domains to perform 52 HTTP transactions. The main domain is smart.jd.com and was registered 17 years ago.

Submitted URL: https://smart.jd.com

Effective URL:

https://smart.jd.com/pc
Redirected

The Cisco Umbrella rank of the primary domain is #17,610 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official JD.com subdomain (smart.jd.com) hosting the 京东小家 app download page. 33-year-old established domain, no forms, no credential capture, no Indicators of Compromise, YARA, or phishing/malware IDS hits. Legitimate.

Safety Factors (5)
Official JD.com brand domain and subdomain (smart.jd.com)
33-year-old domain with established reputation in the Umbrella top 100K
No credential, login, or payment forms present
No Indicators of Compromise, YARA malware, or known-kit matches
Content is an official app download page for 京东小家 (JD Smart Home)
Domain age information unavailable

Details

Page Title

京东小家APP官方下载

Scan Type

public

Domain Name Analysis

The domain 'smart.jd.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'smart'. The second-level label 'jd' is 2 characters long with 0 vowels and 2 consonants. Tokenizing the label suggests 1 word: jd. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://smart.jd.com

Page Load Overview

10.83s
Total Load Time
5.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:125 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
29%
e-commerce shopping
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
182.16.10.149Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2163.171.242.126Meteverse · CDNUnited States
AS54994Meteverse Limited.
2163.181.254.193United States
AS24429Zhejiang Taobao Network Co.,Ltd
2163.171.242.128Meteverse · CDNUnited States
AS54994Meteverse Limited.
22.16.10.151Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2163.181.58.188Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
2138.113.91.117Meteverse · CDNCanada
AS54994Meteverse Limited.
2163.171.242.130Meteverse · CDNUnited States
AS54994Meteverse Limited.
284.53.175.32Akamai · CDNAmsterdam, North Holland, Netherlands
AS20940Akamai International B.V.
2163.181.58.189Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
5218--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12941F2B3C412AD0C169289B5EF8AF494BB75F62E99606C80F4C891ED0DE1FD044C3376

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T70hb7uIqqgrI9lichB5FAH5RZndK26SMC:TIhfgrI377oPZdK2sC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2065:AABAEEIAAAAAADABAAAgAAAAiAAAAQAgYAAQAEgCAoQSCAhAAAAEAQCwAABAACCwqBABMAAAAAAAgCAEAAAAQABgAIAAAAJA

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:fefe8e8a8a8a8fff
Perceptual Hash:bdc5c639c738381c
Difference Hash:6230343232323c10
Wavelet Hash:fede8e808a888cde
Color Hash:#bf4093

Other Hashes

Crop Resistant:6230343232323c10

Scan History

Scan history not available

Unable to load historical scan data