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Security Scan Report: cold-white-jk5cvp0mqh-jiia3shh09.edgeone.app

Submitted: Mar 8, 2026, 1:22:56 AMCompleted: Mar 8, 2026, 1:24:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is cold-white-jk5cvp0mqh-jiia3shh09.edgeone.app and was registered NaN years ago.

Submitted URL: https://cold-white-jk5cvp0mqh-jiia3shh09.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: 92%

2
Risk Score

No malicious activity detected; site appears benign despite being a newly created subdomain on a hosting platform.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Domain not listed in Cisco Umbrella top 1M (unranked)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

Within the application-focused generic top-level domain (.app), 'cold-white-jk5cvp0mqh-jiia3shh09.edgeone.app' is registered, featuring subdomain 'cold-white-jk5cvp0mqh-jiia3shh09'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Tokenizing the label suggests 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://cold-white-jk5cvp0mqh-jiia3shh09.edgeone.app/

Page Load Overview

8.14s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:828 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
43%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E929580EFF51BDCA41FC454AFBE773A2625A003E88C859C759E0EB09F45585B4BB1B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBvhghDhjhqh+hMhMhucghghAhQhkh1Z:KrzhNK/lMHmGgdkq8iJ5sQ+mQcguOead

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19345:EAiAE3BIBQgIHXQYA0SDpCJKCMWMz4AJABJNEQiLCLgSCAgdiqAkQQCSCQROIUIQmTxBLSE0OiAABCtCkAowMDrAciagBkVl

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de3c383c286563e3
Difference Hash:3030707070707060
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#9b40bf

Other Hashes

Crop Resistant:3030707070707060

Scan History

Scan history not available

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