Security Scan Report: app.avada.io

Redirected to: https://app.avada.io/login

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Submitted: Dec 5, 2025, 1:08:20 PMCompleted: Dec 5, 2025, 1:10:18 PMpubliccompleted
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Summary

This website contacted 79 IPs in 5 countries across 16 domains to perform 54 HTTP transactions. The main domain is app.avada.io.

Submitted URL: https://app.avada.io/

Effective URL: https://app.avada.io/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 login page with no suspicious activity.

Safety Factors
Brand domain matches official Avada service
No malicious Indicators of Compromise
No credential or payment forms present
Domain age information unavailable

Details

Page Title

Login | AVADA Email Marketing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce

(92%)

Domain Information

You're looking at domain 'app.avada.io' on the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'app'. The second-level label 'avada' is 5 characters long with three vowels and two consonants. It segments into 2 words: a, vada. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.avada.io/

Page Load Overview

0.36s
Total Load Time
54
HTTP Requests
16
Domains
816 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:620 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce
92%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15151.101.1.195San Francisco, California, United States
AS54113FASTLY
10104.26.14.53United States
AS13335CLOUDFLARENET
8104.17.25.14United States
AS13335CLOUDFLARENET
3146.75.120.193Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2172.217.208.94United States
AS15169GOOGLE
2142.251.140.168United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
2104.16.174.226United States
AS13335CLOUDFLARENET
1136.243.42.10Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
5479--

Detected Technologies6

JQueryv3.5.1
100%
Bootstrapv4.1.3
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA734A919CB24C5D53434463B2DF94C9255F13078D22C98CB5ECAB849FEEE0C8BE6A6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VhJOlhdnSV8j/FV5TjsZvOekdiNZz9tzjnlZH2zQvip6pW5sq1:VwInlnqp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74533:FBPvTpZYgIqmIxCgQZpMKJEFSHAcQCiIZSwCoKY11Axm4AulQGgRLYEUAhFhZpALQQgEHGkHgCgiFh0OIQIWTSY8UIE4lRqi

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data