Security Scan Report: valorant-nextjs-4fa65nq9xr.edgeone.app

Submitted: Apr 10, 2026, 1:39:32 PMCompleted: Apr 10, 2026, 1:40:52 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 11 HTTP transactions. The main domain is valorant-nextjs-4fa65nq9xr.edgeone.app and was registered NaN years ago.

Submitted URL: https://valorant-nextjs-4fa65nq9xr.edgeone.app/_not-found.html

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No malicious activity detected; the page simply returns a 404 error.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Page content is unavailable (404), reducing attack surface
Domain age information unavailable

Details

Page Title

Valorant Web Query - 实时数据查询系统

Scan Type

public

Language

🇺🇸

English

(47% confidence)

Category

government public service

(67%)

Domain Information

The domain name 'valorant-nextjs-4fa65nq9xr.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'valorant-nextjs-4fa65nq9xr'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://valorant-nextjs-4fa65nq9xr.edgeone.app/_not-found.html

Page Load Overview

1.48s
Total Load Time
11
HTTP Requests
1
Domains
148 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:47%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:47%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:128 chars
Detector Agreement:50%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
67%
technology software
65%
adult content
59%
healthcare medical
55%
news media journalism
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.152.26.58Singapore
111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164023329E405ED4AED6B7D6D413EEE3F20CE853F86B499B8968DCE48075147A1783DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:qsvZuudBlUlDHnvXWn4BzHk7e0SijXcGaD7cg1xqzc/xmW5g8MsSSYExqz8SSuGo:qsvZu8ClnvXWSzHkVBgnqzcpmEqzEta

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8971:0QDA1ADYAtBCAABRFQEEdEehYJAIxDEkEAIlAWaRCAJEKxTA0EwAOQgBMFAgGAg10KBRJV0oBYIFELUhEAWAhwBAwCJKGmiM

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:0000000000000000
Perceptual Hash:b331cccc3333cccc
Difference Hash:0000000000000000
Wavelet Hash:3f3f3f27040c0c0c
Color Hash:#62862d

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data