Security Scan Report: tech.hindustantimes.com

Submitted: Oct 22, 2025, 7:22:02 PMCompleted: Oct 22, 2025, 7:23:38 PMpubliccompleted
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Summary

This website contacted 141 IPs in 9 countries across 51 domains to perform 237 HTTP transactions. The main domain is tech.hindustantimes.com and was registered NaN years ago.

Submitted URL: https://tech.hindustantimes.com/tech/news/facebook-changes-name-to-meta-we-re-going-to-be-metaverse-first-says-mark-zuckerberg-71635446738611.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article on a reputable site with no security concerns.

Safety Factors
Established, long‑standing domain
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Facebook changes name to Meta; We’re going to be metaverse-first, says Mark Zuckerberg | Tech News (HT Tech)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(88%)

Domain Information

The domain 'tech.hindustantimes.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'tech'. Its registrable label 'hindustantimes' stretches across 14 characters holding five vowels versus nine consonants. It segments into 2 words: hindustan, times. Average segment length settles at 7 characters. 'hindustan' most often appears in English. Usage also turns up in Chinese (Pinyin) and Indonesian contexts. Overall, 'tech.hindustantimes.com' reads as English.

Screenshot

Security scan screenshot of https://tech.hindustantimes.com/tech/news/facebook-changes-name-to-meta-we-re-going-to-be-metaverse-first-says-mark-zuckerberg-71635446738611.html

Page Load Overview

23.19s
Total Load Time
237
HTTP Requests
51
Domains
1.6 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:18,318 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network88% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
88%
adult content
83%
corporate business
62%
technology software
53%
documentation technical
46%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
97104.75.90.18Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1142.250.185.163United States
AS15169GOOGLE
1148.251.85.209Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
123.32.96.218Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1103.231.98.84Japan
AS62713AS-PUBMATIC
1172.66.154.88United States
AS13335CLOUDFLARENET
123.54.68.132New York, New York, United States
AS16625AKAMAI-AS
1185.64.189.226United Kingdom
AS62713AS-PUBMATIC
1172.217.18.14United States
AS15169GOOGLE
1184.24.77.4Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
237141--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE443B21B588203F0A2352D9D9A7758EB712E23FD74185C5BBFC4238679AFB5623235C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:E5lKicsKymyF/txSMX7V7N2MG9gzOIJ1vQFaAnIFLX+LTdT5uvZniKbaJmNsiNDR:EcsKymyF/txfX7VRbG9sOUwnIFzuE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:263883:QBKIhgORCYIEAzSICZUJ4y4ivEAgJXSRDApJIEA3JKVcgWZVsQSRXtMBEgBIrIkEKgJCAEAYvQkkAAgPAhuECA5tcIMqEMIh

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:ffffffff8fc78393
Perceptual Hash:bdc22cf28e34c33c
Difference Hash:0a846b2b3b1e3637
Wavelet Hash:fe00affb87938281
Color Hash:#6ce096

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data