Security Scan Report: screeching-lime-swuwsvgiay-19o8g80x6k.edgeone.app

Submitted: May 16, 2026, 2:59:13 PMCompleted: May 16, 2026, 3:00:21 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is screeching-lime-swuwsvgiay-19o8g80x6k.edgeone.app and was registered NaN years ago.

Submitted URL: https://screeching-lime-swuwsvgiay-19o8g80x6k.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: 75%

2
Risk Score

Low risk site; unknown subdomain age but no malicious activity detected.

Risk Factors
Low domain ranking (#455,732)
Unknown subdomain age on a hosting platform
Safety Factors
No credential or payment collection forms
No malicious JavaScript or network alerts
Content appears to be a simple file collection page
Hosted on a reputable developer platform (edgeone.app)
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇭🇷

HR

(21% confidence)

Category

documentation technical

(90%)

Domain Information

Domain 'screeching-lime-swuwsvgiay-19o8g80x6k.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'screeching-lime-swuwsvgiay-19o8g80x6k'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Segmentation suggests two 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://screeching-lime-swuwsvgiay-19o8g80x6k.edgeone.app/

Page Load Overview

0.45s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇭🇷HR
Code: hr
Confidence:21%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hr
Detection Confidence:21%
Script Type:Unknown
HTML Lang Attribute:zh
Text Length:491 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as hr

Website Classification

Primary Category

documentation technical90% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
90%
healthcare medical
77%
cryptocurrency blockchain
46%
finance banking
28%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1380313C1EFF82FEC601E8554577D7B3E6A256003A44C429CB5AE0EB1AF88D85E4BB075

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+OJ5RzlpfVZZBV5Bx/xxXxbpbBXLX1FbBCqVR1Njhd:wNIqOJ5RzlpfVZZBV5Bx/xxXxbpbBXLb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40723:AI2IxRcUKBGwvpwmAByggJCioEEIHQwoNUgHFQMpIHA2wAEQjaQWSCgxwHE8xASkgDUVcCMCHAFagSuuLFgiaD4JDSQQwAkh

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:de757c382828c3c7
Difference Hash:3030707071707171
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#4240bf

Other Hashes

Crop Resistant:3030707071707171

Scan History

Scan history not available

Unable to load historical scan data