Security Scan Report: upush-msg-gw.uc.cn

Site favicon
Submitted: Jul 23, 2026, 3:21:25 PMCompleted: Jul 23, 2026, 3:23:08 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is upush-msg-gw.uc.cn and was registered NaN years ago.

Submitted URL: https://upush-msg-gw.uc.cn

The Cisco Umbrella rank of the primary domain is #15,638 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(29% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'upush-msg-gw.uc.cn' uses the Chinese country-code top-level domain (.cn), featuring subdomain 'upush-msg-gw'. Count 2 characters in 'uc' split between 1 vowel and one consonant. It segments into one word: uc. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://upush-msg-gw.uc.cn

Page Load Overview

0.96s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
Text Length:222 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2203.119.174.224China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EFE07DF697240EC5181E55C53AB2109D8F54A3B82273579024DC8C69EB8D0498F35DC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxO96QUsPVCJecN+GF6yoHyMQKf1ghQ8XIrHy9nEcxFLD2LV14HOUBa:kxPQ/v0+GFO0YfsFLD2LV3UBa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:4feb204c1338ad963a57f02199245879

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:1f3fffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:e0c0000000000000
Wavelet Hash:1030f0f0f0f0f0f0
Color Hash:#2d3186

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data