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Security Scan Report: boostsales.apps.avada.io

Redirected to: https://boostsales.apps.avada.io/auth/login

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Submitted: Nov 26, 2025, 3:58:23 PMCompleted: Nov 26, 2025, 4:02:22 PMpubliccompleted
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Summary

This website contacted 68 IPs in 4 countries across 15 domains to perform 23 HTTP transactions. The main domain is boostsales.apps.avada.io and was registered NaN years ago.

Submitted URL: https://boostsales.apps.avada.io/

Effective URL: https://boostsales.apps.avada.io/auth/loginRedirected

The Cisco Umbrella rank of the primary domain is #22,345 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
Moderate Cisco Umbrella ranking
No credential or payment collection
Domain age information unavailable

Details

Page Title

AVADA — Installation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(74%)

Domain Information

The domain 'boostsales.apps.avada.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'boostsales.apps'. Its registrable label 'avada' stretches across 5 characters holding three vowels versus 2 consonants. It segments into two words: a, vada. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://boostsales.apps.avada.io/

Page Load Overview

0.58s
Total Load Time
23
HTTP Requests
15
Domains
804 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:103 chars
Detector Agreement:67%

Website Classification

Primary Category

e-commerce shopping74% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
74%
adult content
71%
technology software
69%
cryptocurrency blockchain
48%
government public service
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5151.101.1.195San Francisco, California, United States
AS54113FASTLY
2142.250.185.232United States
AS15169GOOGLE
118.66.102.11United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
13.160.150.8United States
AS16509AMAZON-02
1216.58.206.42United States
AS15169GOOGLE
152.50.63.130Dublin, Leinster, Ireland
AS16509AMAZON-02
113.107.213.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
113.226.244.129United States
AS16509AMAZON-02
120.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2368--

Detected Technologies2

X-UA-Compatible
100%
Shopify
25%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB512F15EA63014EB21395A837A66F48B310D4A3824ADC357ECCA350CF89A9499F7B4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TxHqhe2m2+OE1/DE6uiiKfNsTakMewZtXyFSLxBw+nx6SFawWIpMw5ubJGeWyQ9k:TxKxQ1/DVriYw+1XyFuHw+TFawW7w5un

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2657:AACQSABBEMAQAIAAACAAAIKAAAwBCARAABEAAAAQoBgSIAILAAAUBCBJECgAAgGKECABgAAAAACAIJEAgiAAIQAAAQBAAAAA

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:ffe7e7ff8181ffff
Perceptual Hash:bc96c3691893696d
Difference Hash:000c070033330003
Wavelet Hash:1f03c3818181f3f3
Color Hash:#2d8686

Other Hashes

Crop Resistant:000c070033330003,0008103232100000

Scan History

Scan history not available

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