ScanMalware.com

Security Scan Report: boostsales.apps.avada.io

Redirected to:
https://boostsales.apps.avada.io/auth/login
Submitted: Dec 21, 2025, 8:11:07 PMCompleted: Dec 21, 2025, 8:13:42 PMpubliccompleted

Summary

This website contacted 15 IPs in 2 countries across 13 domains to perform 21 HTTP transactions. The main domain is boostsales.apps.avada.io and was registered 7 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%

0
Risk Score

Legitimate Shopify app installation page with no detected threats.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential collection fields
Standard installation page for a known service
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) with subdomain 'boostsales.apps'. Count 5 characters in 'avada' holding three vowels versus two consonants. Segmentation suggests 2 words: a, vada. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of boostsales.apps.avada.io

Page Load Overview

107.64s
Total Load Time
21
HTTP Requests
13
Domains
604 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
7151.101.65.195United States
AS54113FASTLY
1216.58.209.168United States
AS15169GOOGLE
1216.58.209.195United States
AS15169GOOGLE
113.33.235.52New York, New York, United States
AS16509AMAZON-02
1104.26.15.53United States
AS13335CLOUDFLARENET
1216.239.34.36United States
AS15169GOOGLE
13.164.68.65United States
AS16509AMAZON-02
1216.58.209.170United States
AS15169GOOGLE
1151.101.1.195United States
AS54113FASTLY
1216.58.209.202United States
AS15169GOOGLE
2115--

Page Statistics

21
Requests
16
Unique Domains
696.1 KB
Total Size

Detected Technologies5

X-UA-Compatible
100%
HTTP/3
40%
HSTS
40%
Firebase
40%
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:#5381ac

Other Hashes

Crop Resistant:000c070033330003,0008103232100000

Scan History

Scan history not available

Unable to load historical scan data