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Security Scan Report: tense-gray-ke4fazqfvc-nv5eg1drpw.edgeone.app

Submitted: Apr 28, 2026, 7:12:50 PMCompleted: Apr 28, 2026, 7:14:00 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 tense-gray-ke4fazqfvc-nv5eg1drpw.edgeone.app and was registered NaN years ago.

Submitted URL: https://tense-gray-ke4fazqfvc-nv5eg1drpw.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 low risk with no malicious activity, but unknown subdomain age and low ranking warrant caution.

Risk Factors
Subdomain could be newly created (age unknown)
Low domain ranking suggests limited trust
Safety Factors
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
No credential exfiltration or suspicious scripts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(29% confidence)

Category

documentation technical

(82%)

Domain Information

The domain 'tense-gray-ke4fazqfvc-nv5eg1drpw.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'tense-gray-ke4fazqfvc-nv5eg1drpw'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tense-gray-ke4fazqfvc-nv5eg1drpw.edgeone.app/

Page Load Overview

0.20s
Total Load Time
2
HTTP Requests
1
Domains
12 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:8,575 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical82% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
82%
technology software
65%
cryptocurrency blockchain
59%
news media journalism
59%
healthcare medical
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15984C0519FF82FDC705E8545973D7B3B6E255013A48D028CB6ED0EB1EF48849E4BB0AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:LbzXfHvTDjznXXXbzLTX/DzXnDrvPz7Pnzj3PTjTjXnjDvfzTnnn3fffPXXXbrff:LbzXfHvTDjznXXXbzLTX/DzXnDrvPz7P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:392142:EmExAzWUKJBCGAseBKkiwAICoQEuRCAwXAJMQARrIDeWASO8lwACQiEBUCJudAAN6RJmwkEjDDaC4iZqLEEggSASPgBARY0H

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:1c1c1c1c1c1c1c1c
Perceptual Hash:9a383c3818ddc7c7
Difference Hash:b030303030303030
Wavelet Hash:1c5c7c7c1c1c5c5c
Color Hash:#abac53

Other Hashes

Crop Resistant:b030303030303030

Scan History

Scan history not available

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