Security Scan Report: www.journal-news.com

Redirected to: https://www.journal-news.com/gdpr.html

Submitted: Oct 23, 2025, 10:51:55 PMCompleted: Oct 23, 2025, 10:55:05 PMpubliccompleted
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Summary

This website contacted 15 IPs in 4 countries across 5 domains to perform 8 HTTP transactions. The main domain is journal-news.com and was registered NaN years ago.

Submitted URL: https://www.journal-news.com/news/halal-munchies-brings-nyc-flavors-to-middletown/2ZAUKNUA3FC2ZLLLQ6VKAWLZH4/

Effective URL: https://www.journal-news.com/gdpr.htmlRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age > 10 years
No malicious Indicators of Compromise matches found
No credential or payment forms present
Page content is a standard GDPR notice
Domain age information unavailable

Details

Page Title

GDPR Support

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.journal-news.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'journal-news' is 12 characters long containing 4 vowels alongside seven consonants; it also includes one hyphen. Splitting it apart reveals two words: journal, news. Expect 5.5 characters per word on average. 'journal' is most common in English usage. Usage also turns up in Chinese (Pinyin) and French contexts. Overall, 'www.journal-news.com' reads as English with character flair.

Screenshot

Security scan screenshot of https://www.journal-news.com/news/halal-munchies-brings-nyc-flavors-to-middletown/2ZAUKNUA3FC2ZLLLQ6VKAWLZH4/

Page Load Overview

1.38s
Total Load Time
8
HTTP Requests
5
Domains
58 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
HTML Lang Attribute:en
Text Length:188 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.18.10.207United States
AS13335CLOUDFLARENET
3184.24.77.23Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
269.192.160.133Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1104.18.11.207United States
AS13335CLOUDFLARENET
12.20.112.198Palermo, Sicily, Italy
AS6762TELECOM ITALIA SPARKLE S.p.A.
023.217.11.75Taiwan
AS20940Akamai International B.V.
02606:4700::6812:acfUnited States
AS13335CLOUDFLARENET
02a02:26f0:3500:981::11a6Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02a02:26f0:3500:586::11a6Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02a02:26f0:3500:12::1730:17baFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
815--

Detected Technologies1

Bootstrapv4.5.2
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190B40136432097B1ADA9D784409A346D376C88DBF2B4C1D8B7AD5DC1EBC62F100FACA5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Tj4EuHs+AbyV2aoQ3nKjz31py5BoZEYSdLjNdUhz0rWIRR/PQn+YQO3sbEe:34ESM5UKvDy5B6EZdldgaI89

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:494050:oVwQHU6UIAjREA8AG3kQtp2QCdoFgeEFQlJFEOREYDqIuMnhwjIgiBCBPhKAMqFwBIgkIKgSicK7AGgEYEFQMQEdBhbyIEUj

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:7ef9d0d8d0d4e0ed
Perceptual Hash:dc8da3969663146e
Difference Hash:e8b333302434cdd9
Wavelet Hash:3ef9d0d0d0d0e0ed
Color Hash:#1f5093

Scan History

Scan history not available

Unable to load historical scan data