Security Scan Report: signing0001-dpreo0o8o10l.edgeone.app

Submitted: Jul 8, 2026, 11:50:18 PMCompleted: Jul 8, 2026, 11:51:44 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is signing0001-dpreo0o8o10l.edgeone.app and was registered NaN years ago.

Submitted URL: https://signing0001-dpreo0o8o10l.edgeone.app/?eta=

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Tencent Edgeone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(40%)

Domain Information

The domain 'signing0001-dpreo0o8o10l.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'signing0001-dpreo0o8o10l'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Word splitting yields 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://signing0001-dpreo0o8o10l.edgeone.app/?eta=

Page Load Overview

4.15s
Total Load Time
3
HTTP Requests
2
Domains
378 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:185 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software40% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
40%
documentation technical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
143.175.79.234Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D517172E192643BA127C5DE7070939EB0E6C402C3976A136DFD9378CACAE939B1134C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nm4RZc1c2IXZftTM58SVdu65WwVbqF3JqM8LbR56:nmgkc3lXSVrhWpsMeRE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2529:QIgpCAIgAEgAYQghAAAACAAAQACAAHAhAgAAABQRAAAAqAAJEASICABFgQgBQAAAAAAAJBAIAIAQU1AEQACQAMAUAAAAABAA

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:ffffe7e7e7e7ffff
Perceptual Hash:b399cccc33236699
Difference Hash:000008080c0c0000
Wavelet Hash:f0f0c0c0c0e4fcfc
Color Hash:#87a2c5

Other Hashes

Crop Resistant:000008080c0c0000

Scan History

Scan history not available

Unable to load historical scan data