ScanMalware.com

Security Scan Report: embed.sequel.io

Site favicon
Submitted: Jan 11, 2026, 7:49:11 PMCompleted: Jan 11, 2026, 7:50:52 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 17 HTTP transactions. The main domain is embed.sequel.io and was registered NaN years ago.

Submitted URL: https://embed.sequel.io

The Cisco Umbrella rank of the primary domain is #217,640 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
Subdomain of a known legitimate brand
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Virtual Event

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'embed.sequel.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'embed'. The second-level label 'sequel' is 6 characters long with 3 vowels and three consonants. It segments into 1 word: sequel. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://embed.sequel.io

Page Load Overview

16.86s
Total Load Time
12
HTTP Requests
5
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:76 chars
Detector Agreement:100%

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
434.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
254.192.35.98United States
AS16509
266.33.60.35United States
AS16509AMAZON-02
2151.101.130.137United States
AS13335
2104.16.78.6United States
AS13335CLOUDFLARENET
125--

Detected Technologies3

JQueryv3.5.1
100%
Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FDB1DA861D34458890130EFDEF7AB4684D6FB1FFAA2484D0F29E676D1F51ED1E842914

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:kVrJgSLTRT9RXsoRVv6RAxZ9aPydjiZcg6ebAmXWj:EJHLdhRcAxZgPycZcg/XWj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5152:pkAlACAgQBAEgxNQVCBAEICAAQSAkCGYgAECQlABgnEQKmSgMgEiBCEKgAIBg0YoCkACCAgAFIyBSAAASIQgCCopoIhIE6EA

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:ffffffe7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:0000000c08000000
Wavelet Hash:3c3c3c24273f0f0f
Color Hash:#862d34

Other Hashes

Crop Resistant:0000000c08000000

Scan History

Scan history not available

Unable to load historical scan data