Security Scan Report: ujmfghj.cc

Submitted: Oct 18, 2025, 2:48:47 PMCompleted: Oct 18, 2025, 2:49:50 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 2 domains to perform 22 HTTP transactions. The main domain is ujmfghj.cc and was registered NaN years ago.

Submitted URL: https://ujmfghj.cc/

AI Security Verdict

High Risk

Confidence: 95%

10
Risk Score

Site uses URL spoofing and brand impersonation on a brand‑new domain – high‑risk phishing.

Risk Factors
URL manipulation is a known phishing technique
Brand impersonation on a newly registered, unranked domain
Extremely new domain (<7 days) suggests malicious intent
Login‑related page title without legitimate authentication forms
Unranked domain increases suspicion for brand spoofing
Domain age information unavailable

Details

Page Title

登录

Scan Type

public

Language

🇨🇳

Chinese

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'ujmfghj.cc' uses the .cc country-code top-level domain without a subdomain. The second-level label 'ujmfghj' is 7 characters long with one vowel and 6 consonants. Splitting it apart reveals four words: uj, mf, gh, j. Median word length comes out to 2 characters. 'uj' most strongly signals Chinese (Zhuyin). It also appears in Vietnamese and Albanian contexts.

Screenshot

Security scan screenshot of https://ujmfghj.cc/

Page Load Overview

10.37s
Total Load Time
22
HTTP Requests
2
Domains
55 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:80%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:80%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:143 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10118.25.42.241Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
1137.220.154.61Tokyo, Tokyo, Japan
AS4907BGPNET PTE. LTD.
1111.231.169.247Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
1124.222.174.117Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
12408:4005:30a:4302:6218:d8d9:db29:5de0Hangzhou, Zhejiang, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
12408:4005:30a:4302:6218:d8d9:db29:65c1Hangzhou, Zhejiang, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
1124.220.203.60Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
12408:4005:30a:4302:6218:d8d9:db29:5dd2Hangzhou, Zhejiang, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
12408:4005:30a:4302:6218:d8d9:db29:5dd6Hangzhou, Zhejiang, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
1124.221.80.91Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
2213--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BC324AA54511299A1374E52C7CC8E684B2DDA7344A20CDE735A2C0F8F86FED33DA717

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:76uNQ3fdPwwanleMf72yMPkZ8PFwh1nAukdDO3Xyr5Ir5eh0dTrlXRdxzt+aKGF0:2kZgwh1nAukdDO3Xyr5Ir5eh0dTZ90

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119778:oTwCxRAWLQI5CARgFIIHCagSSQYoBQMgwDQToAAYKCQiAMNNpGbFJAViAjjQgMqkVSgxbZIkcMJZBYsljEJEckYKgCkEOoJP

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:7fffffff0000ffff
Perceptual Hash:bf81812b83952f2f
Difference Hash:c002800055550008
Wavelet Hash:7e7effff00000000
Color Hash:#2d8646

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data