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Security Scan Report: growing-gray-radwvrwyu1-pwbpqrwa62.edgeone.app

Submitted: Mar 19, 2026, 10:25:08 AMCompleted: Mar 19, 2026, 10:26:54 AMpubliccompleted
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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 growing-gray-radwvrwyu1-pwbpqrwa62.edgeone.app and was registered NaN years ago.

Submitted URL: https://growing-gray-radwvrwyu1-pwbpqrwa62.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

Site shows no malicious content but the subdomain’s unknown age on a free hosting platform warrants moderate caution.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
No malicious Indicators of Compromise detected
No password, email, or payment fields present
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

TENTO STUDIO

Scan Type

public

Language

🇷🇺

Russian

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'growing-gray-radwvrwyu1-pwbpqrwa62.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'growing-gray-radwvrwyu1-pwbpqrwa62'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://growing-gray-radwvrwyu1-pwbpqrwa62.edgeone.app/

Page Load Overview

0.23s
Total Load Time
3
HTTP Requests
2
Domains
23 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

Language Code:ru
Detection Confidence:80%
Script Type:Cyrillic
HTML Lang Attribute:ru
Text Length:12 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1104.17.24.14United States
AS13335
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF512F4EA643000AF60390B41FB68759066CA817ED07CD7C3A9D65D8CF992B8E2F3B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:fr7vzyU7KNVuXRoUMoVmcylbWGtKfoX3beVLZC+AFSyjpmRnBxHwNE5elw3e7U:fr7uU7KN6RTMPMMK8LeVLZGOBlwwyw3F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2877:ABIAAAgEhABAABCKAABAQAiQABACQgACEAEQAgBAICEAAgFRAAIACAAGABICiAAAVREAQAgAoQAkAABQCAgDgAAgMAEACIAQ

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:ffffffffff000000
Perceptual Hash:8080008080808080
Difference Hash:0000000000000000
Wavelet Hash:ffffffff00000000
Color Hash:#2dd2d2

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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