Security Scan Report: scratchall-033zipqpod.edgeone.app

Submitted: Apr 30, 2026, 3:49:08 AMCompleted: Apr 30, 2026, 3:50:24 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is scratchall-033zipqpod.edgeone.app and was registered NaN years ago.

Submitted URL: https://scratchall-033zipqpod.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low‑risk site; no malicious indicators detected and no credential collection present.

Risk Factors
Low domain ranking (455,732) in Cisco Umbrella
Safety Factors
Absence of login or payment forms
No credential exfiltration or suspicious network activity
Content classified as technical documentation with high confidence
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇵🇭

TL

(50% confidence)

Category

documentation technical

(86%)

Domain Information

The domain 'scratchall-033zipqpod.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'scratchall-033zipqpod'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scratchall-033zipqpod.edgeone.app/

Page Load Overview

0.41s
Total Load Time
2
HTTP Requests
1
Domains
8 KB
Total Size

Language Analysis

Primary Language

🇵🇭TL
Code: tl
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:tl
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:zh
Text Length:3,559 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as tl

Website Classification

Primary Category

documentation technical86% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
86%
cryptocurrency blockchain
79%
technology software
65%
news media journalism
64%
healthcare medical
62%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19C84A0519FF83FECB05E8640973D7B3B6A256103A48D019CF9AD0EB0EF44986E4BB465

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:jL3dTVv1j9XN7lTxDFbp71TvTpnZj5/5z5ntjpT1jZzNDz/z/HLz/TDH/77nfTRr:jL3dTVv1j9XN7lTxDFbp71TvTpnZj5/v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:379926:cCnA2GgoCBUGTsqbjkcoSBBoSYU+hhdoSJoEEEBIGAYOAAkwCIYQAnEgRFcOcBAYCAIVTiIAEOhCAKHTdAAqiJyENxWMVJki

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:1c1c3c3c3c3c3c3c
Perceptual Hash:9e38383818d7c7c7
Difference Hash:b030603030303030
Wavelet Hash:1c5c7c3c3c3c3c3c
Color Hash:#ac9f53

Other Hashes

Crop Resistant:b030603030303030

Scan History

Scan history not available

Unable to load historical scan data