Security Scan Report: abababab-84n70bkj0b.edgeone.app

Submitted: Mar 18, 2026, 7:36:19 PMCompleted: Mar 18, 2026, 7:37:55 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is abababab-84n70bkj0b.edgeone.app and was registered NaN years ago.

Submitted URL: https://abababab-84n70bkj0b.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

The page hosts a password‑only form on a fresh subdomain, indicating credential phishing – do not submit credentials.

Risk Factors
Password‑only form on a newly created subdomain
Hosting on a free platform (.edgeone.app) with no established reputation
Domain age information unavailable

Details

Page Title

竹林七贤

Scan Type

public

Language

🏳️

ZH_CN

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'abababab-84n70bkj0b.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'abababab-84n70bkj0b'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abababab-84n70bkj0b.edgeone.app/

Page Load Overview

0.48s
Total Load Time
4
HTTP Requests
1
Domains
68 KB
Total Size

Language Analysis

Primary Language

🏳️ZH_CN
Code: zh_cn
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:zh_cn
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:zh_cn
Text Length:19 chars
Detector Agreement:0%

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
443.152.26.58Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123212074B1F0599F521388B1B981BE191CCEC307CB674608F1A8407E2BD4E918947478

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hWMCvcKW7Vvx7EaPJuUFpJaI9VLI0qGQN59VLI0qYWqPjqJ:1/x7VPJZFDaIPM0qGQ3PM0q5q8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1308:AABAAEAUQQAAQBAAAAAAJRAAAAwAAACEAAIACAAAABEACAAAAAAAAAAAgEAQBAAAAAAAAAAIIQAAAACACIIABIAgAAAAAEgg

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:ffffffffe7e7ffe7
Perceptual Hash:b389cc6699996666
Difference Hash:000020304c4c3008
Wavelet Hash:0f0f1f1f07070f0f
Color Hash:#2dd0d2

Other Hashes

Crop Resistant:000020304c4c3008

Scan History

Scan history not available

Unable to load historical scan data