Security Scan Report: scrawny-teal-0pz7y2a2-dpikvg1eszju.edgeone.app

Submitted: Jun 8, 2026, 9:49:47 PMCompleted: Jun 8, 2026, 9:50:54 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is scrawny-teal-0pz7y2a2-dpikvg1eszju.edgeone.app and was registered NaN years ago.

Submitted URL: https://scrawny-teal-0pz7y2a2-dpikvg1eszju.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

The site shows no malicious activity, forms, or brand impersonation; low risk despite unknown subdomain age.

Risk Factors
Low domain ranking
Unknown subdomain age
Safety Factors
No forms or credential fields
No external links or cross‑origin credential exfiltration
No malicious JavaScript or network alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

technology software

(91%)

Domain Information

Within the application-focused generic top-level domain (.app), 'scrawny-teal-0pz7y2a2-dpikvg1eszju.edgeone.app' is registered; it also runs on subdomain 'scrawny-teal-0pz7y2a2-dpikvg1eszju'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Segmentation suggests 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://scrawny-teal-0pz7y2a2-dpikvg1eszju.edgeone.app/

Page Load Overview

0.49s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:540 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software91% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
91%
documentation technical
84%
cryptocurrency blockchain
58%
adult content
43%

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

T1B9230284EFF82FDCA05E85449B7D7B3B2A256043A48C419C75AE0EB0EF45989E0FB075

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+NMyciYLw3zYmiUYUiC8MokUY8PA0kEqewAOIEoikKiqWUd:wNIqNMyciYLw3zYmiUYUiC8MokUYyA0C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46815:+ASI2ISwCjBgm6lQiBGqBBKQoICMDgkBMApIEQEICGgHFYE4iUgzSCxhVJVBNMCUEgQASAsUPOEZlKEKaVQiwBZTsXAmFF0n

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:de74743838aac3c3
Difference Hash:3030707171707170
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#3a4b78

Other Hashes

Crop Resistant:3030707171707170

Scan History

Scan history not available

Unable to load historical scan data