Security Scan Report: accepted-tan-agnk4zt1gh-p2xtd65zia.edgeone.app

Submitted: Mar 13, 2026, 11:12:08 AMCompleted: Mar 13, 2026, 11:13:43 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 accepted-tan-agnk4zt1gh-p2xtd65zia.edgeone.app and was registered NaN years ago.

Submitted URL: https://accepted-tan-agnk4zt1gh-p2xtd65zia.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No malicious activity detected; site appears safe.

Safety Factors
Hosted on known platform edgeone.app
No forms, password fields, or payment fields present
No brand impersonation or suspicious branding in title
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

AI Student Study Helper

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

Within the application-focused generic top-level domain (.app), 'accepted-tan-agnk4zt1gh-p2xtd65zia.edgeone.app' is registered with subdomain 'accepted-tan-agnk4zt1gh-p2xtd65zia'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://accepted-tan-agnk4zt1gh-p2xtd65zia.edgeone.app/

Page Load Overview

8.14s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:834 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
39%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17691F9BB1015063965ABA0F57460EB4E79D18616BB5BE1780AFC20FCEEC4FC68D21B08

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Td51CKqtKGcCu30frCbsHel/QcdwLmfCn6MnAVul1KTdpM:jI3KT/qCwBn9zqpM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4556:ABoACUVKpQDBiBCAwADADQCGAAKQFBEAAADECABIgACEwYQAADMNChLCAYAQBQoEKAQgEiIBAAAQVAABFEoBggEhAAERABkA

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:ff3c3c3c00000000
Perceptual Hash:8acee161f098f9e1
Difference Hash:e869616979bfffff
Wavelet Hash:ff3c3c3d07030707
Color Hash:#63783a

Other Hashes

Crop Resistant:e869616979bfffff

Scan History

Scan history not available

Unable to load historical scan data