Security Scan Report: studai-qke508vaqn.edgeone.app

Submitted: Mar 19, 2026, 6:44:37 PMCompleted: Mar 19, 2026, 6:45:55 PMpubliccompleted
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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 studai-qke508vaqn.edgeone.app and was registered NaN years ago.

Submitted URL: https://studai-qke508vaqn.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 88%

3
Risk Score

The site shows no malicious behavior but is a newly created subdomain on a hosting platform with low ranking, so it carries low risk.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Low Cisco Umbrella ranking (455,732) suggests limited trust
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No JavaScript malware patterns (YARA) found
No network IDS alerts
Cross‑origin request targets reputable API (api.groq.com)
Domain age information unavailable

Details

Page Title

Stud.ai

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'studai-qke508vaqn.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'studai-qke508vaqn'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://studai-qke508vaqn.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
Text Length:38 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
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136B1A5F3226B3C21927941AE38F9C74F7568C3217A67716418EC48BD60D48D689BDF2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:QRd78ss/oQ+4qE3C8YpuMez6LGyZnqLmc06exWmpiKPtdc:Gdoss/1+4qE3C8CJemSyZtdwDcfc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5135:QBSAgAFABAGCBgBBgFgYYtAEBJARQAGQQKAAgIMQCBAIEelEhAoQAgYQIDgAABSAAMR8AGlAgABoCAEBgBhCABzEggChUASg

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:80008080808080ff
Perceptual Hash:fe74a874a874a874
Difference Hash:0000000000000081
Wavelet Hash:ff8080808080bcff
Color Hash:#753a78

Other Hashes

Crop Resistant:0000000000000081

Scan History

Scan history not available

Unable to load historical scan data