Security Scan Report: kato-index-wbfuq1vol2.edgeone.dev

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Submitted: Jan 6, 2026, 4:36:33 AMCompleted: Jan 6, 2026, 4:37:51 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 162 HTTP transactions. The main domain is kato-index-wbfuq1vol2.edgeone.dev and was registered NaN years ago.

Submitted URL: https://kato-index-wbfuq1vol2.edgeone.dev/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Absence of password or payment fields
Unranked domain but no malicious Indicators of Compromise
Content matches developer blog theme
Domain age information unavailable

Details

Page Title

hyastar - 物联网全栈开发者

Scan Type

public

Language

🇺🇸

English

(46% confidence)

Category

technology software

(92%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'kato-index-wbfuq1vol2.edgeone.dev' is registered; it also runs on subdomain 'kato-index-wbfuq1vol2'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Tokenizing the label suggests 2 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://kato-index-wbfuq1vol2.edgeone.dev/

Page Load Overview

10.55s
Total Load Time
70
HTTP Requests
2
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:46%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:46%
Script Type:Latin
Text Length:614 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software92% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
92%
documentation technical
80%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24104.21.80.27United States
AS13335CLOUDFLARENET
23172.67.173.89United States
AS13335CLOUDFLARENET
2343.174.246.29Singapore
703--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1160439E5B324C2BE8C1BCA86DB395458311ED37BFB6442A08A7E5B3817D7C56F81AC14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4jy63G1tB2yNi1teXzk38QGfvQUn2EgT4xuY:4jyVQUhgW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:176031:YxksLQAgUBMCwCBOBEIDoELiBAwYboCFQQNCqgQSEJYULIiBRU0AEILqTaRBiUBgDsLRQa43pMaySEgQAIRmJABRvswFRMAE

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:63636164643c1e00
Perceptual Hash:82e1ac9e2d9c6b6c
Difference Hash:c6c4c7cdcdddbc7d
Wavelet Hash:677361656c3e1e05
Color Hash:#d2b879

Other Hashes

Crop Resistant:c6c6c7cdccdcbc5d

Scan History

Scan history not available

Unable to load historical scan data