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Security Scan Report: www.nabalunews.com

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Submitted: Dec 4, 2025, 1:28:39 PMCompleted: Dec 4, 2025, 1:30:26 PMpubliccompleted
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Summary

This website contacted 29 IPs in 1 country across 7 domains to perform 208 HTTP transactions. The main domain is nabalunews.com and was registered NaN years ago.

Submitted URL: https://www.nabalunews.com/post/kcci-reaffirms-support-for-new-sabah-government

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with minimal risk category
No malicious Indicators of Compromise detected
Absence of credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

KCCI Reaffirms Support for New Sabah Government

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(78%)

Domain Information

Domain 'www.nabalunews.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'nabalunews' is 10 characters long holding four vowels versus six consonants. Tokenizing the label suggests 2 words: nabalu, news. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.nabalunews.com/post/kcci-reaffirms-support-for-new-sabah-government

Page Load Overview

0.80s
Total Load Time
208
HTTP Requests
7
Domains
2.8 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
Text Length:2,958 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network78% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
78%
corporate business
77%
government public service
77%
blog personal website
77%
news media journalism
73%

Detected Features

Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14534.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3065.8.131.55United States
AS16509AMAZON-02
752.86.41.132Ashburn, Virginia, United States
AS14618AMAZON-AES
765.8.131.77United States
AS16509AMAZON-02
765.8.131.76United States
AS16509AMAZON-02
73.83.59.86Ashburn, Virginia, United States
AS14618AMAZON-AES
754.204.83.201Ashburn, Virginia, United States
AS14618AMAZON-AES
752.2.55.140Ashburn, Virginia, United States
AS14618AMAZON-AES
73.221.75.61Ashburn, Virginia, United States
AS14618AMAZON-AES
765.8.131.125United States
AS16509AMAZON-02
20829--

Detected Technologies6

React
50%
Google Cloud
50%
Wix
40%
HTTP/3
40%
HSTS
40%
Google Cloud CDN
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB556C90724C153DCEB712EFF2097A5CAD292503EBA155EDF9A59B5883C36F202D232D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:cmh1kuRCZjNO86VP4x5gi0f6dydbnbKHZpJZ0UWZFy:f1kCCZjNO86bf6gbK5pJZ0U+Fy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1392630:AACJNZUpEGwm0EHxCBRAV9U5ChjZXGBYECB4Ai2ABCCZCFaiDKcHhAAoBgQWQAMCPAYcxBqLAAARgGIKUyDeSAAB5lAMwPqq

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:3c20cf00ffff0000
Perceptual Hash:aa4307d73868d8ed
Difference Hash:4d45ad814379a7a7
Wavelet Hash:bf20ff00ffff0000
Color Hash:#361f93

Other Hashes

Crop Resistant:4d45ad814379a7a7,d0d0d4d4f4616969,22443a2636160002,b1484c454848b141,0000003283000000,3dc0e6e6a686a05a

Scan History

Scan history not available

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