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Security Scan Report: sts-bsit2-4-hnj0p17759.edgeone.app

Submitted: Nov 19, 2025, 3:46:58 PMCompleted: Nov 19, 2025, 3:48:54 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is sts-bsit2-4-hnj0p17759.edgeone.app.

Submitted URL: https://sts-bsit2-4-hnj0p17759.edgeone.app/log.html

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

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate informational site with no apparent security risks.

Safety Factors
No credential or payment collection elements
No brand impersonation detected
No external malicious links
Domain age information unavailable

Details

Page Title

BioEthics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

Within the application-focused generic top-level domain (.app), 'sts-bsit2-4-hnj0p17759.edgeone.app' is registered, featuring subdomain 'sts-bsit2-4-hnj0p17759'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sts-bsit2-4-hnj0p17759.edgeone.app/log.html

Page Load Overview

30.16s
Total Load Time
3
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:798 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
50%
adult content
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B821F09AC4F3102B4172C2C6F49AAB1F7DE9C887D6090740B2EC06854F8AF17E597464

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nB5C04lKSZPE+4Rl79kEcZ8hEoNfL7fTCgLzA5Hj:nBroJ0Rp9F6OnTCgLzAp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1177:oQQAAAAARAEABBAAAAAEAAAACAAAABAAhABAABAAAgBAAAAAAAAAAAAAACQAAAAAAAAgAgACAUAJAAAAAAgCEAAgAAAACAAA

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:000000eceecc0000
Perceptual Hash:f20d0df29269f817
Difference Hash:00428d898dadc204
Wavelet Hash:8080eceeeece0400
Color Hash:#9479d2

Other Hashes

Crop Resistant:00428d898dadc204

Scan History

Scan history not available

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