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Security Scan Report: cyber.netsecops.io

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/942764d2-efa5-4671-8e6a-6a8dda148a13Domain and IP registration (RDAP)/api/v1/rdap/942764d2-efa5-4671-8e6a-6a8dda148a13How often this domain was scanned/api/v1/domain/stats/cyber.netsecops.ioScan history for this domain/api/v1/domain/history/cyber.netsecops.io?limit=15
This website contacted 18 IPs in 2 countries across 10 domains to perform 95 HTTP transactions. The main domain is netsecops.io and was registered 6 years ago.

Submitted URL: https://cyber.netsecops.io/articles/volta-autodoxer-infostealer-uses-llms-to-rank-stolen-data/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Cybersecurity news article about the VOLTA infostealer. Self-branded, article-typed, no forms, no credentials collected, and no threat-intelligence, hunting rule or IDS hits. Safe to read.

Safety Factors (4)
Self-branded site whose title/meta match its own domain
News/blog article format with named author and editorial standards section
No credential, payment or login forms present
No threat-intelligence, hunting rule, IDS or Safe Browsing hits against the page or its resources
Domain age information unavailable

Details

Page Title

New 'VOLTA' Infostealer Uses AI to Prioritize and... - CyberNetSec.io

Scan Type

public

Domain Name Analysis

You're looking at domain 'cyber.netsecops.io' on the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'cyber'. Its registrable label 'netsecops' stretches across 9 characters holding 3 vowels versus 6 consonants. Word splitting yields three words: nets, e, cops. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cyber.netsecops.io/articles/volta-autodoxer-infostealer-uses-llms-to-rank-stolen-data/

Page Load Overview

8.84s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:11,587 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
54%
news/blog
35%
corporate
35%
phishing scam
29%
cryptocurrency
22%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
520.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
5150.171.109.100Azure · CLOUDUnited States
AS8075Microsoft Corporation
552.152.143.207Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
5192.178.183.97Google · CDNUnited States
AS15169Google LLC
576.223.126.88Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5216.239.32.36Google · CDNUnited States
AS15169Google LLC
5142.251.127.154Google · CDNUnited States
AS15169Google LLC
5142.251.110.94Google · CDNUnited States
AS15169Google LLC
5185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
9518--

Detected Technologies9

Open-Graph-Protocolvarticle
100%
Nuxt.js
50%
Node.js
50%
Varnish
40%
HSTS
40%
GitHub Pages
40%
Fastly
40%
Google Analytics
35%
Vue.js
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2E3D736B381006F4223C6D1F675D63EB16AE30BDE07C2A572BDC2646BDBCE27952950

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nCPqJsZC5QJ1gERyFT55t+6xiFGIxXLF+e4vU1MCpB:GgXxiFGIxXLFqvU1N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156750:FgKA9XAPyBtrawAErBAAgBYt2ATLgEMKGN4xAgIiEMgP6Aqg0YxWjQAYsQQpAADRIJKAEJVUKi2UgOrgFhG3xNAACBgxoAAp

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:383c3030383c303c
Perceptual Hash:cfe498cc3330cb33
Difference Hash:6161496969616169
Wavelet Hash:393c3c3c3c3c3c3c
Color Hash:#78763a

Other Hashes

Crop Resistant:6161496969616169

Scan History

Scan history not available

Unable to load historical scan data