Security Scan Report: www.unistellar.com

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Submitted: Aug 12, 2026, 5:18:44 PMCompleted: Aug 12, 2026, 5:20:23 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 2 HTTP transactions. The main domain is unistellar.com and was registered NaN years ago.

Submitted URL: https://www.unistellar.com/blog/what-is-black-hole/

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

The site hosts a legitimate‑looking article but uses a known malicious IP and collects emails via a cross‑origin form, warranting high‑risk caution.

Risk Factors
Known malicious hosting IP
Unranked / low‑reputation domain
Cross‑origin email collection (potential data harvesting)
Safety Factors
Self‑branding matches domain (unistellar)
Old, well‑established domain (≈25 years)
Content is a news‑style article with no credential forms
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 3
Domain age information unavailable

Details

Page Title

What Is a Black Hole? - UNISTELLAR

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

The domain 'www.unistellar.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The core label 'unistellar' covers 10 characters holding four vowels versus 6 consonants. Tokenizing the label suggests 2 words: uni, stellar. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.unistellar.com/blog/what-is-black-hole/

Page Load Overview

5.68s
Total Load Time
156
HTTP Requests
40
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-US
Text Length:10,709 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16104.26.3.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1452.222.236.60Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
14104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
14142.251.20.97Google · CDNUnited States
AS15169Google LLC
14142.251.110.95Google · CDNUnited States
AS15169Google LLC
1452.217.197.0Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
14185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1465.8.131.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
14104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1413.226.244.104Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B5418CE67B6393C3907534DA874FF95CA8DC1B7DA3988F1BABBD6088BC1651006621D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5mVIVlj463IN6Jkdum7i/6qz6qkhomOZe7OZQBGwBof4sc70qj3hH:YuX463FmquoDZIwcZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:284146:II8gYEM4+Au5omCOiVqeAigggIgDJJDejtGUIECFEVJoJAgWAMIC6CQwADMWAwQACSMDowsJAcIeQQKCYNEGAlPCXgO1HAVQ

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:3c64e76000c0c0c0
Perceptual Hash:e207fa1e0ff809f0
Difference Hash:69ccccc969319515
Wavelet Hash:3d66e77d60c1c1c1
Color Hash:#862d43

Scan History

Scan history not available

Unable to load historical scan data