Security Scan Report: www.pjstar.com

Redirected to: https://eu.pjstar.com/story/news/lottery/2025/10/10/mega-millions-numbers-tonight-october-10-2025-mega-million-winning-number-lottery-drawing-10-10-25/86623889007/

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Submitted: Oct 12, 2025, 5:32:26 PMCompleted: Oct 12, 2025, 5:33:14 PMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 11 domains to perform 127 HTTP transactions. The main domain is eu.pjstar.com and was registered NaN years ago.

Submitted URL: https://www.pjstar.com/story/news/lottery/2025/10/10/mega-millions-numbers-tonight-october-10-2025-mega-million-winning-number-lottery-drawing-10-10-25/86623889007/

Effective URL: https://eu.pjstar.com/story/news/lottery/2025/10/10/mega-millions-numbers-tonight-october-10-2025-mega-million-winning-number-lottery-drawing-10-10-25/86623889007/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established news domain (pjstar.com)
No malicious Indicators of Compromise
No phishing or credential‑harvesting elements
Domain age information unavailable

Details

Page Title

www.pjstar.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(60%)

Domain Information

Domain 'www.pjstar.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The core label 'pjstar' covers 6 characters containing 1 vowel alongside five consonants. It segments into 2 words: pj, star. Average segment length settles at 3 characters. 'pj' most strongly signals Sinhala. Usage also turns up in Chinese (Pinyin) and English contexts.

Screenshot

Security scan screenshot of https://www.pjstar.com/story/news/lottery/2025/10/10/mega-millions-numbers-tonight-october-10-2025-mega-million-winning-number-lottery-drawing-10-10-25/86623889007/

Page Load Overview

16.45s
Total Load Time
127
HTTP Requests
11
Domains
5.5 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:20,803 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
60%
gambling betting
59%
news media journalism
49%
adult content
43%
corporate
35%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
818.244.18.122United States
AS16509AMAZON-02
7104.18.86.42United States
AS13335CLOUDFLARENET
7151.101.1.91San Francisco, California, United States
AS54113FASTLY
7146.75.122.62Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7104.18.87.42United States
AS13335CLOUDFLARENET
7151.101.65.91San Francisco, California, United States
AS54113FASTLY
7151.101.193.91San Francisco, California, United States
AS54113FASTLY
72a04:4e42::347United States
AS54113FASTLY
72606:4700::6812:562aUnited States
AS13335CLOUDFLARENET
72606:4700::6812:572aUnited States
AS13335CLOUDFLARENET
12718--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10264F86B3554233EE6D78749AAA27B893520885FFD335CDCF58C53384BCABE20D1164A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:he3HxeWdnX84y975aU4Oc7AkxH3gavyUyJs/yZxTYhp6tYvy3jdm2mHMlz9JAafi:hEHxeWdnXo9UxB+IETeM4T4/HcQ3iF9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:326238:EAQkKCoSBOfB4iBL+UBUoEjEfEMjgKHIx4dIoIYiwMDaQAPFoQUIiHHQAOhQKQEmgxAod0RBoCMCQFBQIBBMl8VBkvYVGECx

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:e7c3c3c3c3ffffff
Perceptual Hash:e5619e9a998d8c99
Difference Hash:8e8e868e8ec8cec6
Wavelet Hash:42c2c3c3c3e3e3e3
Color Hash:#83e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data