Security Scan Report: www.truescoopnews.com

Submitted: Jan 4, 2026, 8:12:49 AMCompleted: Jan 4, 2026, 8:15:38 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 10 domains to perform 54 HTTP transactions. The main domain is truescoopnews.com and was registered NaN years ago.

Submitted URL: https://www.truescoopnews.com/ott/haq-true-story-who-was-bela-jain-advocate-who-fought-shazia-banos-case

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security threats.

Safety Factors
Well‑established domain (>7 years old)
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Who was Bela Jain, Shazia Bano's Advocate shown in Haq movie?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(57%)

Domain Information

Domain 'www.truescoopnews.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'truescoopnews' covers 13 characters split between 5 vowels and eight consonants. Tokenizing the label suggests 3 words: true, scoop, news. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.truescoopnews.com/ott/haq-true-story-who-was-bela-jain-advocate-who-fought-shazia-banos-case

Page Load Overview

73.17s
Total Load Time
25
HTTP Requests
8
Domains
188 KB
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:5,398 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism57% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
57%
adult content
55%
government public service
55%
real estate property
54%
healthcare medical
48%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.169.65United States
AS13335CLOUDFLARENET
2142.250.186.99United States
2142.251.208.3United States
218.208.85.77Ashburn, Virginia, United States
AS14618AMAZON-AES
2104.18.91.198United States
AS13335CLOUDFLARENET
266.102.1.156United StatesUnknown
2216.239.32.36United StatesUnknown
266.102.1.157United StatesUnknown
2104.20.26.16United States
AS13335CLOUDFLARENET
2104.18.92.198United States
AS13335CLOUDFLARENET
2512--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DE43BB151F4633C8D1F136DBAA7E74D8616162ACE4259A5F8D7E50C8BEABF20333106

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:NIsH12hVdkMi0Sfu41H12hVdkvpFVVGSfup7f79Q7AR:ZH12hVdkB0SfuIH12hVdkbGSfup7f793

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:700180:AIgRgIibgACBGWJA4kqCJKMDdSBQCBSoGUdagAKeACFEABQBGKJIlFLQ9KQ2AhDAYwFEECgAgyAQIBCRCwWhAyDAIsQXhNlG

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:83cfffc7838383ff
Perceptual Hash:bcc3cf38c3368e81
Difference Hash:131a380f1e1f3f27
Wavelet Hash:01cfcf87838383f3
Color Hash:#d279cc

Scan History

Scan history not available

Unable to load historical scan data