Security Scan Report: nagalandpost.com

Submitted: Nov 20, 2025, 8:07:05 AMCompleted: Nov 20, 2025, 8:10:44 AMpubliccompleted
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Summary

This website contacted 45 IPs in 3 countries across 13 domains to perform 193 HTTP transactions. The main domain is nagalandpost.com and was registered NaN years ago.

Submitted URL: https://nagalandpost.com/manika-vishwakarma-wins-miss-universe-india-2025/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article with no security concerns.

Safety Factors
Well‑established domain registered in 2005
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Manika Vishwakarma wins ‘Miss Universe India 2025’

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(45%)

Domain Information

The domain 'nagalandpost.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'nagalandpost' stretches across 12 characters containing 4 vowels alongside eight consonants. Word splitting yields 2 words: nagaland, post. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nagalandpost.com/manika-vishwakarma-wins-miss-universe-india-2025/

Page Load Overview

0.20s
Total Load Time
193
HTTP Requests
13
Domains
4.8 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-US
Text Length:62,547 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
45%
news/blog
35%
entertainment media
29%
news media journalism
27%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5392.113.23.235Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
32172.217.18.14United States
AS15169GOOGLE
32142.250.186.67United States
AS15169GOOGLE
21142.250.186.131United States
AS15169GOOGLE
1792.113.16.181Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
14216.58.206.46United States
AS15169GOOGLE
12172.217.18.2United States
AS15169GOOGLE
9216.239.32.36United States
AS15169GOOGLE
7142.250.181.234United States
AS15169GOOGLE
6142.251.140.174United States
AS15169GOOGLE
19345--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1922409325C24243A762B4364B095F758A3CA2195FBCD0ED8FA9ADE1C47C7B9093F3259

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OXDapKOJCUDMz0fXUVpfChKDXqCYjR7Op1Dg84ssPlSwGRrKN9Bm/zhcjxlxM00T:O2nJFfzgI5Z4Qj/O2Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:229362:JmLIACWCoKwYBI4oiCAwHOEQwgAc1gDCqwALXCPc0B0UQTQYIruQkAwABP4MRdFxiAlLDxC8gU1EkAFKQEFZAA0cUTFBKDgG

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:0018181818181800
Perceptual Hash:9c1c6367774f1c18
Difference Hash:0c3232323232320f
Wavelet Hash:009f999b9d9d9981
Color Hash:#d2798c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data