Security Scan Report: www.aiworldnext.com

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Submitted: Completed: publiccompleted
This website contacted 84 IPs in 2 countries across 56 domains to perform 108 HTTP transactions. The main domain is aiworldnext.com and was registered 1 year 8 months ago.

Submitted URL: https://www.aiworldnext.com/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Established AI news/tools aggregator showing its own brand, with no credential or payment forms and no content-malware evidence; only an unusual redirect chain and unranked reputation, which do not support escalation.

Risk Factors (2)
Excessive redirect chain (11 hops, 10 cross-domain) is unusual and could obscure the landing path
Domain is unranked in Cisco Umbrella and shows limited legitimacy signals (score 23/100)
Safety Factors (5)
Site displays its own brand, not another organisation's
No credential-harvesting or payment forms present in the captured DOM
No JavaScript malware patterns, no malicious kit roster match, no high-precision YARA hits
Only MEDIUM informational Suricata alerts (ZeroSSL certificate observation, Discord DNS/SNI lookups) — no phishing or malware IDS signatures
Domain age over 1 year with a visible physical address
Domain age information unavailable

Details

Page Title

AI News, Tools, Jobs & Robots | AIWorldNext

Scan Type

public

Domain Name Analysis

The domain name 'www.aiworldnext.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 11 characters in 'aiworldnext' holding 4 vowels versus 7 consonants. Word splitting yields 4 words: a, i, world, next. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.aiworldnext.com/

Page Load Overview

2.81s
Total Load Time
14.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:50,184 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
technology software
29%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2564.29.17.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.155.119Google · CDNUnited States
AS15169Google LLC
1104.18.161.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.207Google · CDNUnited States
AS15169Google LLC
1162.159.142.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
152.222.136.38Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1216.150.1.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.150.1.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
176.76.21.21Aws · CLOUDWalnut, California, United States
AS16509Amazon.com, Inc.
1146.75.120.238Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
10884--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DA49635E2880B7D6207C3E5E7A6BB38A0AD83DBD70B855CF57802718346D59AD336E4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LCKZ+eORJrRsnucaDcobxjUBuyjGBQ60/THyPRNhRy5caFXtyiXty7L/yMygFyvT:LCIuabp1JsYrgvr+ZgQGwLChreF2O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:457706:AFEoQBBSCEpVFOZzfIIwLQMAVAAkzGAh1xYFJZGKAUjg/Q80NEzCMMJTUoNAhHAmiCITM0gQRqgiUIIghBiUqCiM5bgEYVIE

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:4f003d3d3cb06030
Perceptual Hash:8a98307692999fcf
Difference Hash:bcd5f1f1e161c5c1
Wavelet Hash:5f013f3d3df87001
Color Hash:#2dd24e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data