Security Scan Report: app.kanka.io

Submitted: Jan 21, 2026, 10:24:34 AMCompleted: Jan 21, 2026, 10:25:30 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 12 domains to perform 1 HTTP transaction. The main domain is app.kanka.io and was registered NaN years ago.

Submitted URL: https://app.kanka.io/w/23579

The Cisco Umbrella rank of the primary domain is #844,387 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low risk site; no immediate threats detected despite many redirects.

Risk Factors
Excessive redirects detected (189 redirects)
Safety Factors
Established domain with minimal risk category
HTTPS connection (assumed from URL scheme)
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Dashboard - Noktavis

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(49%)

Domain Information

Domain 'app.kanka.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'app'. The registrable portion 'kanka' spans 5 characters with two vowels and three consonants. It segments into 1 word: kanka. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.kanka.io/w/23579

Page Load Overview

6.74s
Total Load Time
125
HTTP Requests
31
Domains
2.3 MB
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-US
Text Length:2,500 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical49% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
49%
government public service
40%
technology software
40%
news media journalism
33%
corporate business
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15142.251.141.66United States
AS15169GOOGLE
11104.18.40.68United States
AS13335CLOUDFLARENET
11188.114.96.3United States
AS13335CLOUDFLARENET
113.167.227.72United States
AS16509AMAZON-02
11216.58.206.40United States
AS15169GOOGLE
11188.114.97.3United States
AS13335CLOUDFLARENET
1113.33.52.91New York, New York, United States
AS16509AMAZON-02
11104.18.2.78United States
AS13335CLOUDFLARENET
1118.245.86.84GermanyUnknown
11104.20.20.189United States
AS13335CLOUDFLARENET
12511--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134A3C56488F020AA200F856FE790FA097C027D9BDD96AE4571BD75589FE2CDD2D43E8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ffn03LBrePKG3Aiock+wxlQC5KsL3lsCbAJ9tRn8b6BtnXJBJEl3WK+pMXINkQID:HsLbbAJ9tRn8WfnXZ44fxCjJDx/R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100708:oCUNg3MAiECRBigAYowDACMyogQCCGEkAEIoICcXCEcEwaEeSABBaAIRCc4Q3BaElEUawCMQC0NHm8TkwDCJIw1QMcQQBwBI

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:00007f7f7f7f7f7f
Perceptual Hash:807f7f7ce8a0a8a8
Difference Hash:3074e2dad2e2f4d0
Wavelet Hash:0000007f7f1f5f7f
Color Hash:#291f93

Scan History

Scan history not available

Unable to load historical scan data