Security Scan Report: socket-edge.dyte.io

Submitted: Mar 15, 2026, 10:09:56 AMCompleted: Mar 15, 2026, 10:11:45 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is socket-edge.dyte.io and was registered NaN years ago.

Submitted URL: https://socket-edge.dyte.io

The Cisco Umbrella rank of the primary domain is #770,600 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain 'socket-edge.dyte.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'socket-edge'. The second-level label 'dyte' is 4 characters long with one vowel and three consonants. It segments into two words: dy, te. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://socket-edge.dyte.io

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:18 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.176.187.246Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4C080BAC411450D6B3015F8CA8675545E08530DD1311F5075D4E195E544DA784432DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYfpEZuUeZ2Aoqa:qzxV/5VHHoB96D3ne1k9YC5eZI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c1359b5d48c30abd84bc357b2b9f9c8c

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:7fffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#2d867d

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data