Security Scan Report: pleased-brown-0ih35llbpf-7j269kmnla.edgeone.app

Submitted: Feb 15, 2026, 10:07:55 AMCompleted: Feb 15, 2026, 10:09:11 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is pleased-brown-0ih35llbpf-7j269kmnla.edgeone.app and was registered NaN years ago.

Submitted URL: https://pleased-brown-0ih35llbpf-7j269kmnla.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Minimal risk category from analysis
Domain age information unavailable

Details

Page Title

pleased-brown-0ih35llbpf-7j269kmnla.edgeone.app

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'pleased-brown-0ih35llbpf-7j269kmnla.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'pleased-brown-0ih35llbpf-7j269kmnla'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. It segments into 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://pleased-brown-0ih35llbpf-7j269kmnla.edgeone.app/

Page Load Overview

2.72s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:58 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

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
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszm2bMy8Old8:LhoC9JSqzzbs6o3Sj3gcrsS2eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184626:iJDpIBABqsBhCIVKBBLMA8iAZiwIoJ1uAwwMIDkQK5SOBBoHDJACkVUBp0vkALN4oFBIIEohgBIBg1UgAETBgxAi0QCmmwOQ

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#6e862d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data