Security Scan Report: stackray.io

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Submitted: Jan 18, 2026, 8:17:34 PMCompleted: Jan 18, 2026, 8:18:07 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 1 HTTP transaction. The main domain is stackray.io and was registered NaN years ago.

Submitted URL: https://stackray.io/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no suspicious activity

Safety Factors
No forms collecting sensitive data
No malicious Indicators of Compromise matches
Informational content without brand impersonation
Domain age information unavailable

Details

Page Title

StackRay - Developer Tool Directory & Reviews

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

The domain name 'stackray.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. Count 8 characters in 'stackray' containing 2 vowels alongside six consonants. Word splitting yields 2 words: stack, ray. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stackray.io/

Page Load Overview

1.47s
Total Load Time
75
HTTP Requests
9
Domains
1.7 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:8,099 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1165.8.131.119Germany
813.33.187.2Germany
8104.18.38.10United States
AS13335CLOUDFLARENET
8185.15.59.240United States
AS14907WIKIMEDIA
813.226.244.19GermanyUnknown
8104.26.13.187United States
AS13335CLOUDFLARENET
8185.158.133.1Frankfurt am Main, Hesse, Germany
AS13335CLOUDFLARENET
8104.26.8.185GermanyUnknown
83.33.186.135United States
AS16509AMAZON-02
759--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC04953222402A3E992BC7E8F2E0B329925ED354DA67D52AF2DC027227C7D55DD336D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GSVrXx/c64Jysq7vLF6yMU0HnE/zCWkglON0ldn8zCWKMY6S4QDRBRdwxzeoHA0Y:GeAoh4QytHwdJsE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:174374:ogS6IiRAaFREqBRPIaASGWEkcRhiUBlg4ADyQNESVoDU4RwAgogUTwASAQiwxQAEGLVKgMzAgGAKRB1IBNCogNArnEJIpSZC

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:fdc7c3c7e7ffcfca
Perceptual Hash:f16259ca5b62723a
Difference Hash:490e8f0e0c0c1b1a
Wavelet Hash:a4e6c3c3e7e7c300
Color Hash:#622d86

Other Hashes

Crop Resistant:490e8f0e0c0c1b1a

Scan History

Scan history not available

Unable to load historical scan data