Security Scan Report: www.app.com.pk

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Submitted: Oct 22, 2025, 2:47:02 PMCompleted: Oct 22, 2025, 2:50:29 PMpubliccompleted
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Summary

This website contacted 32 IPs in 4 countries across 9 domains to perform 64 HTTP transactions. The main domain is app.com.pk and was registered NaN years ago.

Submitted URL: https://www.app.com.pk/sports/south-africas-batter-senuran-muthusamy-plays-a-shot-during-third-day-of-the-second-test-match-between-pakistan-and-south-africa-at-rawalpindi-cricket-stadium/

AI Security Verdict

Moderate Risk

Confidence: 78%

7
Risk Score

Site appears legitimate but contains a login form; treat cautiously.

Risk Factors
Credential collection form (email/username + password) on a news site
Unranked domain in Cisco Umbrella (lack of high reputation ranking)
Safety Factors
Domain registered since 2001 (over 20 years old)
No known malicious Indicators of Compromise
No brand impersonation or phishing redirects
No cloud storage or IPFS hosting
Domain age information unavailable

Details

Page Title

South Africa’s batter Senuran Muthusamy plays a shot during third day of the second Test match between Pakistan and South Africa at Rawalpindi Cricket Stadium.

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

news media journalism

(63%)

Domain Information

The domain 'www.app.com.pk' uses the Pakistani country-code top-level domain (.com.pk); it also runs on subdomain 'www'. The core label 'app' covers 3 characters split between one vowel and two consonants. Tokenizing the label suggests 1 word: app. Expect three characters per word on average. Most frequently, 'app' shows up in English. Usage also turns up in Italian and Dutch contexts.

Screenshot

Security scan screenshot of https://www.app.com.pk/sports/south-africas-batter-senuran-muthusamy-plays-a-shot-during-third-day-of-the-second-test-match-between-pakistan-and-south-africa-at-rawalpindi-cricket-stadium/

Page Load Overview

10.86s
Total Load Time
64
HTTP Requests
9
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:62,657 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism63% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news media journalism
63%
government public service
54%
news/blog
35%
adult content
33%
phishing scam
29%

Detected Features

Login Form
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35115.186.139.191Islamabad, Islamabad, Pakistan
AS23674Nayatel Pvt Ltd
9142.250.186.67United States
AS15169GOOGLE
5216.58.212.142United States
AS15169GOOGLE
4142.250.186.98United States
AS15169GOOGLE
3142.250.186.42United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2142.250.185.104United States
AS15169GOOGLE
2142.250.186.163United States
AS15169GOOGLE
264.233.184.155United States
AS15169GOOGLE
2142.250.186.142United States
AS15169GOOGLE
6432--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T121B49431F840293F673B45C8A649D70A72C7A20FE5D90810D6E6476C8AE5F78F52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:HorFEQwiGN7vHvGbgAPh3gmMN3SU46hi3nMZ6E:HorFEQwiGN7vHvGbgEbMN3SU0MZ6E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500226:BucQgtAyCQNjoUMciSQQQKhsAz0oBEYgASCAQCwcEFbBkFBTBxYawGCHCLQpQQwkBoyBElkSREzOQRXjJTaGgkKHPhJdMIDE

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:0000bdbdb9998080
Perceptual Hash:9c41366d4d37c83d
Difference Hash:8032b23232323f3f
Wavelet Hash:00ffffbd99990101
Color Hash:#1f937c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data