Security Scan Report: push.m.youku.com

Redirected to: https://error.taobao.com/app/tbhome/common/error.html

Submitted: Mar 30, 2026, 2:54:47 AMCompleted: Mar 30, 2026, 2:56:05 AMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 16 domains to perform 1 HTTP transaction. The main domain is error.taobao.com and was registered NaN years ago.

Submitted URL: https://push.m.youku.com

Effective URL: https://error.taobao.com/app/tbhome/common/error.htmlRedirected

The Cisco Umbrella rank of the primary domain is #27,031 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No malicious activity detected; the page appears to be a legitimate Taobao error page.

Safety Factors
Both source and final domains are long‑standing (over 20 years old)
Meta tags correctly describe the Taobao brand and align with the final domain
Absence of login, payment, or hidden fields
No malicious Indicators of Compromise or YARA detections
No suspicious redirects beyond the single legitimate redirect
Domain age information unavailable

Details

Page Title

淘宝网 - 淘!我喜欢

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

healthcare medical

(70%)

Domain Information

Domain 'push.m.youku.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'push.m'. Count 5 characters in 'youku' with three vowels and 2 consonants. Segmentation suggests 2 words: you, ku. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://push.m.youku.com

Page Load Overview

9.06s
Total Load Time
49
HTTP Requests
19
Domains
413 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:1,051 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
70%
e-commerce shopping
66%
corporate business
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13163.181.254.180United States
AS24429Zhejiang Taobao Network Co.,Ltd
323.48.23.8Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3163.181.58.166Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
3163.181.58.167Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
3163.181.58.176Unknown
3140.205.151.4China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
347.246.99.254United States
AS45102Alibaba US Technology Co., Ltd.
3101.91.111.13China
AS4811China Telecom Group
347.246.103.68United States
AS45102Alibaba US Technology Co., Ltd.
3163.181.254.179United States
AS24429Zhejiang Taobao Network Co.,Ltd
4913--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117C3FAD7D6F221542723944D76A15B88232A900FDA0FDC7CB7EC970D8FC95C25BA278A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FHY7ufMIMeyyYuuehOQXK2nLA7q02SkzbpSCQATGbP+zS6j2j4ZbvH5nhOQMngFr:d2ufocKq63yEhGK0lf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123683:mw2KIAQAAwGUgQAAGEHQyUfwBGRNBCx0U7GBb0GRcABuBQDCgHYJZOi12MIMIUAqwFYZhJW8QBUDNEAAAAYCqAMBEATAgJOP

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:f7ff8181ffe7e7ff
Perceptual Hash:bc64c6c6643e2ec6
Difference Hash:cc88333380090dcc
Wavelet Hash:66e70101ff00e7e7
Color Hash:#5385ac

Other Hashes

Crop Resistant:cc88333380090dcc

Scan History

Scan history not available

Unable to load historical scan data