Security Scan Report: infxmhmq1h-dsn.algolia.net

Submitted: Mar 19, 2026, 4:08:44 AMCompleted: Mar 19, 2026, 4:10:44 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is infxmhmq1h-dsn.algolia.net and was registered NaN years ago.

Submitted URL: https://infxmhmq1h-dsn.algolia.net

The Cisco Umbrella rank of the primary domain is #5,612 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No threats detected; the site appears legitimate and safe.

Safety Factors
Well‑established domain (>13 years)
High Cisco Umbrella ranking (top 10 k)
No malicious Indicators of Compromise
No forms or credential collection
No JavaScript malware or suspicious behavior
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'infxmhmq1h-dsn.algolia.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'infxmhmq1h-dsn'. Count 7 characters in 'algolia' with 4 vowels and three consonants. Splitting it apart reveals three words: algol, i, a. The median word length lands at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://infxmhmq1h-dsn.algolia.net

Page Load Overview

5.28s
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%
0
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
220.26.34.140London, England, United Kingdom
AS8075Microsoft Corporation
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iF4:qzxO965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a7fe83ec64bb23eb28090598db3d166e

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#d22d8d

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data