Security Scan Report: appalling-gray-vcugcln4nk-nj2q8hehry.edgeone.app

Submitted: Apr 8, 2026, 9:06:39 PMCompleted: Apr 8, 2026, 9:07:56 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is appalling-gray-vcugcln4nk-nj2q8hehry.edgeone.app and was registered NaN years ago.

Submitted URL: https://appalling-gray-vcugcln4nk-nj2q8hehry.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: 85%

3
Risk Score

Site shows moderate suspicion due to unknown subdomain age but contains no malicious content or credential collection.

Risk Factors
Subdomain on edgeone.app with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No YARA malware detections
External resources loaded from reputable CDNs (cdn.tailwindcss.com, fonts.googleapis.com, fonts.gstatic.com)
Domain age information unavailable

Details

Page Title

Congratulations Baby Nitaqain Mwaaa๐Ÿ˜˜๐Ÿ˜˜

Scan Type

public

Language

๐Ÿ‡ต๐Ÿ‡ญ

TL

(29% confidence)

Category

unknown

(0%)

Domain Information

The domain 'appalling-gray-vcugcln4nk-nj2q8hehry.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'appalling-gray-vcugcln4nk-nj2q8hehry'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. It segments into 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://appalling-gray-vcugcln4nk-nj2q8hehry.edgeone.app/

Page Load Overview

0.75s
Total Load Time
10
HTTP Requests
4
Domains
178 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ต๐Ÿ‡ญTL
Code: tl
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:tl
Detection Confidence:29%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:2,302 chars
Detector Agreement:67%
Language mismatch: Declared as en but detected as tl

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
4192.178.183.94United States
AS15169Google LLC
2104.26.2.143United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2142.251.127.95United States
AS15169Google LLC
104--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10992EA1667A100267C5380FAEBD2BA08B22550C7CF1BC9BE7ACD5200AFD79B55AD7748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:lOhFSP2RaRRZQYlLpql+q0JH7JXeS7JXex/27xCDsNxfgL+WbQQwsfFGTgUig1AL:Ev8xdhL7QQf0+WbQ4Gj1ANaVYopd3G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20265:bBYDAEUiGAKWFChU0qYERGgKASF0aUy5LAABqQAAaVgAAtiWgIIIxIQqJQRYWCBRip5gMQ8otMBABhCKzDAkIClA6BCJDJhQ

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:ffe7e7ffffe7e7ff
Perceptual Hash:e6269999cccc6633
Difference Hash:204d4d20104c0c10
Wavelet Hash:f8e0e0e00303031b
Color Hash:#1f938a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data