Security Scan Report: noktavis.net.ar

Redirected to: https://app.kanka.io/w/23579

Submitted: Jan 23, 2026, 9:37:00 AMCompleted: Jan 23, 2026, 9:37:54 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 13 domains to perform 53 HTTP transactions. The main domain is app.kanka.io and was registered NaN years ago.

Submitted URL: https://noktavis.net.ar/

Effective URL: https://app.kanka.io/w/23579Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well-established domain (>8 years old)
No credential or payment forms detected
No malicious Indicators of Compromise
Final destination is a known legitimate service (app.kanka.io)
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Dashboard - Noktavis

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(41%)

Domain Information

Within the Argentine country-code top-level domain (.net.ar), 'noktavis.net.ar' is registered with no subdomain. The core label 'noktavis' covers 8 characters holding 3 vowels versus five consonants. It segments into three words: no, kta, vis. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://noktavis.net.ar/

Page Load Overview

5.87s
Total Load Time
134
HTTP Requests
33
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:2,526 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical41% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
41%
government public service
34%
technology software
32%
news media journalism
28%
corporate business
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1313.33.52.91New York, New York, United States
AS16509AMAZON-02
1118.245.86.80United States
AS16509AMAZON-02
11172.217.18.8United States
AS15169GOOGLE
113.167.227.8United States
AS16509AMAZON-02
11142.250.185.130United States
AS15169GOOGLE
1113.33.187.36Germany
11172.67.128.195Germany
11188.114.96.3United States
AS13335CLOUDFLARENET
11188.114.97.3United States
AS13335CLOUDFLARENET
11104.18.3.78United States
AS13335CLOUDFLARENET
13412--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ABA3C56488F020AA200F856FE790FA097C027D9BDD96AE4571BD75589FE2CDD2D43E8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Afn03LBrePKG3Aiock+wxllC5KsL3lsCbAJ9tRn8b6BtnXJBJEl3WK+pMXINkQIb:BsLbbAJ9tRn8WfnXZP4fxRuNox/B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100707:NCMAHTKUAwkoFEcARAAQEMTMCJJCSCcVUgCjeGIjOMkC4JJYoLoZoQMiKIQBXhOQidArWKjAD2BEMBjlKCfAUACMgAhEITAJ

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:#40bf4c

Scan History

Scan history not available

Unable to load historical scan data