ScanMalware.com

Security Scan Report: www.scworld.com

Submitted: Oct 29, 2025, 10:55:02 AMCompleted: Oct 29, 2025, 10:57:11 AMpubliccompleted
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Summary

This website contacted 125 IPs in 4 countries across 38 domains to perform 353 HTTP transactions. The main domain is scworld.com and was registered NaN years ago.

Submitted URL: https://www.scworld.com/perspective/what-the-industry-can-learn-about-resilience-from-mondays-aws-outage

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate article with no security concerns.

Safety Factors
Established domain age reduces risk
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Page content is consistent with legitimate news article
Domain age information unavailable

Details

Page Title

What the industry can learn about resilience from Monday’s AWS outage | SC Media

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

The domain name 'www.scworld.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'scworld' stretches across 7 characters with one vowel and six consonants. Tokenizing the label suggests two words: sc, world. The median word length lands at 3.5 characters. The linguistic tilt is English for 'sc'. You may catch it in Sinhala and Indonesian as well.

Screenshot

Security scan screenshot of https://www.scworld.com/perspective/what-the-industry-can-learn-about-resilience-from-mondays-aws-outage

Page Load Overview

53.02s
Total Load Time
353
HTTP Requests
38
Domains
3.4 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:8,196 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
corporate
35%
other
34%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
105157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
234.216.252.121Boardman, Oregon, United States
AS16509AMAZON-02
244.241.223.173Boardman, Oregon, United States
AS16509AMAZON-02
213.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2143.204.215.114United States
AS16509AMAZON-02
2104.26.5.70United States
AS13335CLOUDFLARENET
235.201.104.135Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
299.84.152.7United States
AS16509AMAZON-02
234.117.77.79Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2216.58.206.42United States
AS15169GOOGLE
353125--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E445D6365A0257B662B5655A471F78C6457C20BEE314FECB1A8C31C8BC3EDB21633B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bWAGharV/+K1y/HZFZg6NmhgABphgEUUtz:6NhEVl1y/+6NmxBpnN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:271569:KiSKDCashSNAGJQJsCZAEGElcpoAEAQsOEDg1CcCEgGudikSEcgLBARLhSBhMbghFAAAENCTgUEIDFlMeANNgDAo02EcAKTK

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:8383999fff9f8700
Perceptual Hash:b86d3392c792ccc9
Difference Hash:0f96b23333333f1f
Wavelet Hash:83839bdbfb9b8300
Color Hash:#40bfae

Other Hashes

Crop Resistant:0f96b23333333f1f,0d0b5a7061706869,3929392f2d1f9466

Scan History

Scan history not available

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