Security Scan Report: my-ingdibabank.web.app

Redirected to:
https://townsvillekayakclub.com/wp-admin/js/auth
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 4 domains to perform 40 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://my-ingdibabank.web.app/

Effective URL:
https://townsvillekayakclub.com/wp-admin/js/auth
Redirected

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

Bank-themed subdomain on free hosting redirects to a compromised WordPress path (/wp-admin/js/auth) on an unrelated, unranked domain — a classic phishing chain. No credential form was captured, but the pattern is high-risk.

Risk Factors (4)
Bank-impersonating entry subdomain on shared free hosting (web.app)
Cross-domain redirect to a compromised WordPress installation (/wp-admin/js/auth)
Destination domain content unrelated to the bank-themed entry hostname (strong brand-mismatch pattern)
Unranked destination domain with no reputation
Safety Factors (6)
No password, disguised-password, or payment fields parsed from the captured DOM (total forms = 1)
No Indicators of Compromise matched against the page or its resources
No JavaScript malware / YARA pattern hits
No network IDS alerts or cross-origin credential exfiltration detected
Scanner-vs-client mismatch is consistent with ordinary bot protection
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 8 to 5
Domain age information unavailable

Details

Page Title

Redirection

Scan Type

public

Domain Name Analysis

Domain 'my-ingdibabank.web.app' uses the application-focused generic top-level domain (.app) with subdomain 'my-ingdibabank'. Its registrable label 'web' stretches across 3 characters holding one vowel versus 2 consonants. Breaking it apart gives one word: web. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://my-ingdibabank.web.app/

Page Load Overview

4.60s
Total Load Time
750 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:11 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
8170.64.186.101Sydney, New South Wales, Australia
AS14061DigitalOcean, LLC
8142.251.14.95Google · CDNUnited States
AS15169Google LLC
8142.251.14.94Google · CDNUnited States
AS15169Google LLC
8142.251.127.94Google · CDNUnited States
AS15169Google LLC
405--

Detected Technologies8

WordPressv7.1.2
100%
JQueryv3.7.1
100%
50%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEE0F19F6C814005453087D08C81F12C25DA56F4D350C880AEC3E3A71D64F1AC99378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7Ys0/fAbpli7vIOkZEdxkGXnAqJmrWmmHxSC1S2JVgD7ttRLC5briEckvG:hR2Ay7u4xk3qJmrWxHUCD+1tWek1Kj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:5730eeca8a96342397eb0f13b9b254be

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:ffffffff00000000
Perceptual Hash:92cd2f1ae9966329
Difference Hash:c2cccc0033cdccc3
Wavelet Hash:ffffffff00000000
Color Hash:#936b1f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data