Security Scan Report: accel-udrdg829ny.edgeone.app

Submitted: Dec 18, 2025, 6:09:40 PMCompleted: Dec 18, 2025, 6:09:44 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is accel-udrdg829ny.edgeone.app and was registered NaN years ago.

Submitted URL: https://accel-udrdg829ny.edgeone.app/

AI Security Verdict

Safe Website

Confidence: 78%

0
Risk Score

Site appears legitimate with no apparent security threats.

Safety Factors
Well‑established domain (>2 years)
No malicious Indicators of Compromise
No credential‑collection forms
No external links or redirects
No phishing indicators detected
Domain age information unavailable

Details

Page Title

腾讯 Edge One 加速

Scan Type

public

Language

🇫🇷

French

(14% confidence)

Category

technology software

(69%)

Domain Information

The domain 'accel-udrdg829ny.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'accel-udrdg829ny'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Splitting it apart reveals 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://accel-udrdg829ny.edgeone.app/

Page Load Overview

1.41s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:14%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:14%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:476 chars
Detector Agreement:67%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
social media network
57%
documentation technical
54%
cryptocurrency blockchain
49%
forum community discussion
42%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149A2D92CB2E101367E9340FBE387E958B62590C3DD1FDAB5F99D9200DF8666158E32C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:SrFWh1o9jF4EAueXeZPAMchBFpBypLar6ui67JXeS7JXex/27xzSieAirpzR9mzH:SrgfhL7NeblzR9mzdtXnmelePI9BM76x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21669:IIQQCIAPAQSACQsxDZIANeQwx0KgTM4wijcIqWAgQ4QhQQ4gAZCCUEq0AhHZE0HgBFGA5wVUBHAAJRgAXxIJIRJWgBqkgGhI

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:80e0fe7c7e7e0000
Perceptual Hash:d6a769d85e0896a5
Difference Hash:1088ccf4e0ec8801
Wavelet Hash:e0f0fefcfe7c0000
Color Hash:#56783a

Other Hashes

Crop Resistant:1088ccf4e0ec8801

Scan History

Scan history not available

Unable to load historical scan data