Security Scan Report: rustblog-rskzbx9em3.edgeone.app

Submitted: Feb 10, 2026, 9:34:02 PMCompleted: Feb 10, 2026, 9:35:35 PMpubliccompleted
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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 rustblog-rskzbx9em3.edgeone.app and was registered NaN years ago.

Submitted URL: https://rustblog-rskzbx9em3.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 security concerns detected; site appears legitimate.

Safety Factors
Well established domain (>2 years old)
Low Cisco Umbrella ranking but no malicious activity observed
Absence of credential or payment collection forms
No external links or embedded resources
Domain age information unavailable

Details

Page Title

rustblog-rskzbx9em3.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain 'rustblog-rskzbx9em3.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'rustblog-rskzbx9em3'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Tokenizing the label suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rustblog-rskzbx9em3.edgeone.app/

Page Load Overview

10.97s
Total Load Time
3
HTTP Requests
2
Domains
15 KB
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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8OldU:phoC9JSqzzbs6o3Sj3gcrs42eAK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184546:AJmsklkxJ+BgkCkkUQEHvAVwTBBYEQGEwnBABawwhpyBBJwAYlgUsZiuVgwKkksgsQCF8kJSLCASUaSxZkaA1QFSSKIGDnEL

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:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:3010000cf0f0f0f0
Color Hash:#90ac53

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data