Security Scan Report: signing0001-dpreo0o8o10l.edgeone.app

Submitted: Jul 16, 2026, 12:50:51 AMCompleted: Jul 16, 2026, 12:53:34 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is signing0001-dpreo0o8o10l.edgeone.app and was registered NaN years ago.

Submitted URL: https://signing0001-dpreo0o8o10l.edgeone.app/[email protected]

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

Domain 'signing0001-dpreo0o8o10l.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'signing0001-dpreo0o8o10l'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. It segments into 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=nelor@38901cbd41a2ced204c945d931ddb07920bd.com

Page Load Overview

4.83s
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
243.152.26.142Singapore
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C516072E192643BA127C5DE7070939EB0E6C402C3976A136DFD9378CACAE939B1134C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Tm4RZc1c2IXZftTM58SVdu65WwVbqF3JqM8LbR56:Tmgkc3lXSVrhWpsMeRE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2544:EhIgEAACAQAEAECIIAGQgRIAgAAgIAgAAAIATYABYgAQAABEgAAAECBAAAARAAIAAgAAIAQKAAQsQGAABAIACAAAEEAGMAMF

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:ffffe7e7e7ffffff
Perceptual Hash:b326cc993366cc99
Difference Hash:0000080c0c080000
Wavelet Hash:ffffc3c300240c0c
Color Hash:#d22dae

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data