Security Scan Report: beta.dawn.com

Redirected to: https://www.dawn.com/news/880192/rehman-dakait-three-others-killed-in-karachi-police

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Submitted: Dec 11, 2025, 8:20:57 AMCompleted: Dec 11, 2025, 8:22:16 AMpubliccompleted
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Summary

This website contacted 247 IPs in 8 countries across 119 domains to perform 730 HTTP transactions. The main domain is dawn.com.

Submitted URL: http://beta.dawn.com/news/880192/rehman-dakait-three-others-killed-in-karachi-police

Effective URL: https://www.dawn.com/news/880192/rehman-dakait-three-others-killed-in-karachi-policeRedirected

The Cisco Umbrella rank of the primary domain is #116,226 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article on an established site with no security concerns.

Safety Factors
Established reputable news organization
Official brand domain used
No credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Rehman Dakait, three others killed in Karachi: police - DAWN.COM

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(82%)

Domain Information

The domain name 'beta.dawn.com' uses the commercial generic top-level domain (.com) and includes subdomain 'beta'. The second-level label 'dawn' is 4 characters long with 1 vowel and three consonants. Splitting it apart reveals 1 word: dawn. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://beta.dawn.com/news/880192/rehman-dakait-three-others-killed-in-karachi-police

Page Load Overview

13.92s
Total Load Time
730
HTTP Requests
119
Domains
7.0 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:8,981 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical82% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
82%
news media journalism
53%
news/blog
35%
corporate
35%
adult content
29%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2383.255.12.221Dublin, Leinster, Ireland
AS16509AMAZON-02
2135.125.140.162France
AS16276OVH SAS
2162.55.233.28Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
23.209.148.86Ashburn, Virginia, United States
AS14618AMAZON-AES
237.19.206.164Ashburn, Virginia, United States
AS60068Datacamp Limited
2162.19.138.116Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
2142.250.184.226United States
AS15169GOOGLE
234.102.146.192Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
254.85.22.68Ashburn, Virginia, United States
AS14618AMAZON-AES
2142.250.186.161United States
AS15169GOOGLE
730247--

Detected Technologies4

JQueryv3.6.0
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168242A31E7E5243F4943C1E1B9E17B6AE453930FCAD699E4FADD03286FC2E616913188

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bWDcI2M+MEcfWt6oPoyLRTLpA4xA4NA4CA47jZp:6DcI2M+MEcfHoPoyVL6jZp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:218247:iIkDJwosATkBNIogAWYsAURgwAWAzVihGT5ARTXpWwElwIoyjCwDorABOHAQAcwrQNwdSGNx4hEBA2wASABwAmkEQSIpXAqM

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:00e3e7f9f9f9f9f9
Perceptual Hash:eb34364b5a16166b
Difference Hash:2806863b33330b03
Wavelet Hash:00c3c381f1d9f9f9
Color Hash:#9e87c5

Scan History

Scan history not available

Unable to load historical scan data