Security Scan Report: stultiern.iceaz.cn

Submitted: Apr 13, 2026, 2:35:32 AMCompleted: Apr 13, 2026, 2:36:56 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is stultiern.iceaz.cn and was registered NaN years ago.

Submitted URL: https://stultiern.iceaz.cn/yual_login_exp/getuug/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: '403 Forbidden' 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

403 Forbidden

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

news media journalism

(43%)

Domain Information

The domain 'stultiern.iceaz.cn' uses the Chinese country-code top-level domain (.cn); it also runs on subdomain 'stultiern'. The core label 'iceaz' covers 5 characters split between 3 vowels and 2 consonants. Segmentation suggests two words: ice, az. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stultiern.iceaz.cn/yual_login_exp/getuug/

Page Load Overview

4.14s
Total Load Time
6
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:82 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism43% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
43%
adult content
40%
documentation technical
37%
healthcare medical
34%
phishing scam
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.165.166.156Tokyo, Tokyo, Japan
AS132203Tencent Building, Kejizhongyi Avenue
61--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4F0909BAF1A243F2E2385B1F4C72168DF640966EF8925D2C749011F72C904288F6FA8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxRgsoCbx0Aqogs01lIgrjKIHTF83TF83TF83TF83TF83TFf:kYEmAUtnBKSTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:541:AAAAAAAAAgABABCAACQAABAAAAAAAAAABAAAAAAAAACIAAAAAAAAAAAAAAAAAAAAAAAAAAAEAgAAAAAAAAAAAAAgAAAIAAAA

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:00ffffffffffffff
Perceptual Hash:e666666666666626
Difference Hash:0c00000000000000
Wavelet Hash:00ff0f0f0f0f0f0f
Color Hash:#ac7453

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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