Security Scan Report: lilith-xtower-ydc575hyiu.edgeone.app

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Submitted: Dec 29, 2025, 1:51:06 AMCompleted: Dec 29, 2025, 1:52:19 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 61 HTTP transactions. The main domain is lilith-xtower-ydc575hyiu.edgeone.app and was registered NaN years ago.

Submitted URL: https://lilith-xtower-ydc575hyiu.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age > 1 year (963 days)
No malicious Indicators of Compromise matches found
No credential or payment forms detected
No known phishing or malware signatures
Domain age information unavailable

Details

Page Title

Phigros Query - 专业的 Phigros 成绩查询与 RKS 数据分析工具

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

corporate

(70%)

Domain Information

Domain 'lilith-xtower-ydc575hyiu.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'lilith-xtower-ydc575hyiu'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. It segments into 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lilith-xtower-ydc575hyiu.edgeone.app/

Page Load Overview

4.50s
Total Load Time
61
HTTP Requests
0
Domains
N/A
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:473 chars
Detector Agreement:50%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6043.152.26.58Singapore
1104.26.0.192UnknownUnknown
02--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E503E73AB940DD2DA95BAE8D323FBE38505DC32BC55BE868F29CC9544786C7487939C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qRfTouBFV1oY9nKrbJ4eMjmha5RCbSZ6SEcx01W3xXueCm+v:qXFVpgT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40789:GoAKkydGYjgFBjMReCFKXtJIhGWJaCngXiVSaFSaKIkgQADZQwAEAoCcgIgdukDkIICTTQBAkxUgFSZPiMDggAriA7LAhLym

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:7cc2e7c3c7c7ffff
Perceptual Hash:f562c2cc8c999b93
Difference Hash:888e0e362e1e1000
Wavelet Hash:64c2c6c2c2c2defe
Color Hash:#d22d69

Other Hashes

Crop Resistant:888e0e362e1e1000

Scan History

Scan history not available

Unable to load historical scan data