ScanMalware.com

Security Scan Report: app.canals.ai

Redirected to:
https://app.canals.ai/login?next=%2F
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Submitted: May 7, 2026, 1:46:12 PMCompleted: May 7, 2026, 1:47:29 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 9 domains to perform 110 HTTP transactions. The main domain is app.canals.ai and was registered NaN years ago.

Submitted URL: https://app.canals.ai

Effective URL: https://app.canals.ai/login?next=%2FRedirected

The Cisco Umbrella rank of the primary domain is #264,770 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 75%

4
Risk Score

Moderate risk due to obfuscated scripts and low domain ranking despite the absence of known malicious indicators.

Risk Factors
Low domain ranking for a site claiming a brand name
Heavy JavaScript obfuscation often seen in malicious kits
Presence of a login form on a low‑ranked domain
Safety Factors
Domain age > 1 year indicates established registration
No external credential exfiltration detected
No malicious Indicators of Compromise in threat intel databases
No JavaScript malware YARA patterns matched
No network IDS alerts triggered
Domain age information unavailable

Details

Page Title

Login | Canals

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

The domain name 'app.canals.ai' uses the Anguillan country-code top-level domain (.ai) with subdomain 'app'. Its registrable label 'canals' stretches across 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests one word: canals. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.canals.ai

Page Load Overview

0.63s
Total Load Time
72
HTTP Requests
2
Domains
11 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:186 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
72%
news media journalism
31%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8192.178.183.207United States
AS15169Google LLC
8216.198.53.3United States
AS209242Cloudflare London, LLC
8136.110.158.176Kansas City, Missouri, United States
AS396982Google LLC
8216.198.54.3United States
AS209242Cloudflare London, LLC
834.107.204.85Kansas City, Missouri, United States
AS396982Google LLC
852.204.192.152Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
876.76.21.93Walnut, California, United States
AS16509Amazon.com, Inc.
834.36.213.229Kansas City, Missouri, United States
AS396982Google LLC
834.160.81.0Kansas City, Missouri, United States
AS396982Google LLC
729--

Detected Technologies6

Amazon Web Services
50%
Vercel
40%
HSTS
40%
Amazon S3
40%
Zendesk
20%
Pendo
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181C2937B3845A0575613DF9B60E19A1AA895E92BCB99CCA1F0DF939C0FE0DF04E6C904

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:stQBZcPs3SFj2IK6UokVn0fWT4a3bVc6V1FdDcZ2u+C+BLtv/8WcMr21guRM9Qxf:uQBZcPs3SFj2IK6Uokt0fWT4a3bVc6VC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27501:EAlQCKAxMInXAncADYwARIwLU1CkAmNNYCEQ1CIMsClEIFAA1YFiLGKRCDcYAFRvoyAAuLQQAQEy4BVAY2wSOwyuEAYYAcgY

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:ffe7e7ffe7e7fff7
Perceptual Hash:b3cccc3399996632
Difference Hash:20280c304c4c300c
Wavelet Hash:dfc7c7d7c0c0c8c0
Color Hash:#89e06c

Other Hashes

Crop Resistant:20280c304c4c300c

Scan History

Scan history not available

Unable to load historical scan data