ScanMalware.com

Security Scan Report: www.plasticsnews.com

Submitted: Mar 17, 2026, 9:30:45 AMCompleted: Mar 17, 2026, 9:31:20 AMpubliccompleted
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Summary

This website contacted 22 IPs in 4 countries across 22 domains to perform 1 HTTP transaction. The main domain is plasticsnews.com and was registered NaN years ago.

Submitted URL: https://www.plasticsnews.com/suppliers/technology/sp-artificial-intelligence-plastics-fraunhofer-ccpe/

The Cisco Umbrella rank of the primary domain is #558,844 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

Legitimate news article on a long‑standing site; no security concerns detected.

Safety Factors
Well‑established domain with long registration history
Article format with proper metadata (title, description, og tags)
Only email‑only forms (newsletter/contact) present
No JavaScript malware or suspicious behavior detected
Domain age information unavailable

Details

Page Title

How AI can foster circularity in the plastics industry - Plastics News

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(48%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.plasticsnews.com' is registered with subdomain 'www'. Its registrable label 'plasticsnews' stretches across 12 characters containing three vowels alongside 9 consonants. Segmentation suggests two words: plastics, news. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.plasticsnews.com/suppliers/technology/sp-artificial-intelligence-plastics-fraunhofer-ccpe/

Page Load Overview

10.54s
Total Load Time
201
HTTP Requests
49
Domains
4.4 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:4,049 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
48%
news/blog
35%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1223.53.42.33United States
AS54113
9142.250.201.170Ireland
AS15169
9151.101.194.217Germany
AS6185
952.222.136.115France
AS24940
9104.18.160.126United States
AS13335Cloudflare, Inc.
9104.18.223.248United States
AS13335Cloudflare, Inc.
9172.66.151.136United States
AS13335Cloudflare, Inc.
999.84.149.16United States
AS16509Amazon.com, Inc.
9142.251.36.99Unknown
AS14618
934.160.81.0Kansas City, Missouri, United States
AS396982Google LLC
20122--

Detected Technologies1

Akamai
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162E4191B74085E740B9757F3F58BBA90F2B75581CA5C1E91EAE60A3C43CE3AE013365A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:E1UYiPA5584D6NodKuQpWUWqbo/VSRbDuGJ7:EEYVb0FJ7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:716844:JPkACLkIgIRNIUhAIyRB1BCRPXApIgIDoVNDIUQjABLnEAgYmjFHBYATsiOSQASjEEABKIICAkmyDRBgkRBJykDQgAYeg4gg

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:ffffff8783839393
Perceptual Hash:bcc3c83432cecb33
Difference Hash:2d0e683617373737
Wavelet Hash:fdff878383818183
Color Hash:#4a2d86

Other Hashes

Crop Resistant:2d0e683617373737,1c1c9cb43434b434

Scan History

Scan history not available

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