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Security Scan Report: navbharattimes.indiatimes.com

Submitted: Nov 16, 2025, 8:59:25 AMCompleted: Nov 16, 2025, 9:01:14 AMpubliccompleted
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Summary

This website contacted 204 IPs in 0 countries across 110 domains to perform 414 HTTP transactions. The main domain is navbharattimes.indiatimes.com and was registered NaN years ago.

Submitted URL: https://navbharattimes.indiatimes.com/video/sports/ind-vs-sa-whenever-they-clashed-on-the-field-they-shook-the-cricket-world-know-about-the-5-biggest-cricket-controversies-/videoshow/125348474.cms

The Cisco Umbrella rank of the primary domain is #26,930 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news page with no security concerns.

Safety Factors
Well‑established domain with minimal risk rating
No credential or payment collection elements
No suspicious external links or redirects
Brand name matches the official Times of India domain
Domain age information unavailable

Details

Page Title

IND vs SA: जब भी भिड़े मैदान में, हिला दिया क्रिकेट वर्ल्ड, जानिए 5 सबसे बड़ी Cricket Controversies - ind vs sa whenever they clashed on the field they shook the cricket world know about the 5 biggest cricket controversies. - Navbharat Times

Scan Type

public

Language

🇮🇳

Hindi

(80% confidence)

Category

entertainment media

(33%)

Domain Information

The domain name 'navbharattimes.indiatimes.com' uses the commercial generic top-level domain (.com), featuring subdomain 'navbharattimes'. The second-level label 'indiatimes' is 10 characters long holding five vowels versus five consonants. Segmentation suggests two words: india, times. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://navbharattimes.indiatimes.com/video/sports/ind-vs-sa-whenever-they-clashed-on-the-field-they-shook-the-cricket-world-know-about-the-5-biggest-cricket-controversies-/videoshow/125348474.cms

Page Load Overview

35.40s
Total Load Time
414
HTTP Requests
110
Domains
10.3 MB
Total Size

Language Analysis

Primary Language

🇮🇳Hindi
Code: hi
Confidence:80%
Script:Devanagari
Direction:ltr

Detection Details

Language Code:hi
Detection Confidence:80%
Script Type:Devanagari
HTML Lang Attribute:hi
Text Length:41,977 chars
Detector Agreement:60%

Website Classification

Primary Category

entertainment media33% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
33%
finance banking
32%
news media journalism
29%
forum
20%

Detected Features

OG: videoshow

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
823.53.42.144UnknownUnknown
264.233.184.156UnknownUnknown
2142.250.184.227UnknownUnknown
22.19.198.171UnknownUnknown
2142.250.185.194UnknownUnknown
2104.18.0.22UnknownUnknown
22.17.100.138UnknownUnknown
22.17.100.216UnknownUnknown
22.17.100.145UnknownUnknown
2172.66.165.32UnknownUnknown
414204--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135246C3983153139822BB5D2FA706F7D3234E13BE3E2066EF6A97B51C783CD55622294

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:oOu9kztW7j8hJ+WKD1nH4tgKy7JKW8/0xvQdywyGS3ijzp:GKc7j8hJ+rD1nH4tgKy7Jj8XdywyGSep

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:230304:VCAOAohHEIHBBhkgYpknBAHsQVgRDuCLboAikBwoBgDTIQBxCAhCy+JKCAwwABVkGYYXChDgwKAILAJxjqggggUwCI4DRQgA

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:e7ffffffc787c7c7
Perceptual Hash:b2cd3332cd333c31
Difference Hash:0e0e1e001d0d0d1d
Wavelet Hash:82c2fefe83838387
Color Hash:#84931f

Other Hashes

Crop Resistant:0e0e1e001d0d0d1d,9288e25a5b13161d

Scan History

Scan history not available

Unable to load historical scan data