ScanMalware.com

Security Scan Report: poprant.indiatimes.com

Site favicon
Submitted: Oct 9, 2025, 8:05:21 AMCompleted: Oct 9, 2025, 8:06:42 AMpubliccompleted
Loading additional data...

Summary

This website contacted 117 IPs in 2 countries across 19 domains to perform 58 HTTP transactions. The main domain is poprant.indiatimes.com.

Submitted URL: https://poprant.indiatimes.com/trending/liam-hemsworth-leads-the-witcher-season-4-as-henry-cavill-revives-highlander-everything-to-know-about-release-dates-cast-and-more-672921.html

The Cisco Umbrella rank of the primary domain is #27,387 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article with no security concerns.

Safety Factors
High Cisco Umbrella ranking suggests established domain
No malicious Indicators of Compromise detected
No credential or payment collection forms present
Domain age information unavailable

Details

Page Title

Liam Hemsworth leads The Witcher season 4 as Henry Cavill revives Highlander: Everything to know about release dates, cast, and more

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(60%)

Domain Information

Domain 'poprant.indiatimes.com' uses the commercial generic top-level domain (.com) with subdomain 'poprant'. The second-level label 'indiatimes' is 10 characters long split between 5 vowels and five consonants. Tokenizing the label suggests two words: india, times. Median word length is 5 characters. The linguistic tilt is English for 'india'. It also appears in Chinese (Pinyin) and Malay contexts. Net impression: English phrase.

Screenshot

Security scan screenshot of https://poprant.indiatimes.com/trending/liam-hemsworth-leads-the-witcher-season-4-as-henry-cavill-revives-highlander-everything-to-know-about-release-dates-cast-and-more-672921.html

Page Load Overview

29.78s
Total Load Time
58
HTTP Requests
19
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:5,968 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
60%
adult content
41%
corporate
35%
corporate business
26%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5823.36.162.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0142.250.181.238United States
AS15169GOOGLE
0216.58.212.134United States
AS15169GOOGLE
0142.250.185.170United States
AS15169GOOGLE
0142.251.168.157United States
AS15169GOOGLE
0142.250.185.78United States
AS15169GOOGLE
0142.250.186.131United States
AS15169GOOGLE
023.36.162.138Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
023.197.138.254Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
0142.250.181.226United States
AS15169GOOGLE
58117--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D8736D739606067F036346D9F07A23CEA247C10EC75983A8A9DE5629138ECF69E371DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sQNaQUlJlz1aYaC000wGTRiiKgbSPqnvCvAR:va9P/QygbSPqn9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75155:AAYwiGr2CnXAoADgIhEIMsEUjBZRh0FgdJHKtYoCQgAGgRhHGAQoQsg2DAgYIAcZABDEKAANTAQ8YBIF/AXqCcABgFUiCCUS

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data