Security Scan Report: legislative-sapphire-z4fbcoik2y-xlpf2yfg2j.edgeone.app

Submitted: Apr 24, 2026, 6:39:34 AMCompleted: Apr 24, 2026, 6:40:52 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 10 HTTP transactions. The main domain is legislative-sapphire-z4fbcoik2y-xlpf2yfg2j.edgeone.app and was registered NaN years ago.

Submitted URL: https://legislative-sapphire-z4fbcoik2y-xlpf2yfg2j.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: 72%

2
Risk Score

The site shows low risk: no malicious activity detected, but the subdomain is newly created and has a low reputation ranking.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking in Cisco Umbrella
Safety Factors
No login, payment, or data collection forms
No malicious JavaScript or external malicious links
No IDS or threat intelligence alerts
Domain age information unavailable

Details

Page Title

Endsem Planner — Sem 2

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(42%)

Domain Information

Within the application-focused generic top-level domain (.app), 'legislative-sapphire-z4fbcoik2y-xlpf2yfg2j.edgeone.app' is registered with subdomain 'legislative-sapphire-z4fbcoik2y-xlpf2yfg2j'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Segmentation suggests 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://legislative-sapphire-z4fbcoik2y-xlpf2yfg2j.edgeone.app/

Page Load Overview

0.60s
Total Load Time
10
HTTP Requests
3
Domains
213 KB
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:12,239 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical42% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
42%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.14.95Singapore
3142.251.13.94Singapore
343.152.26.58Singapore
103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4731C71A0F4213740A382C3A62A0B9B7EF0E687D9570214BAFD97D84FCBC95EE57518

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mN6GU7nYJhwCnBb/AdO1Wop6N9b0oxTOge1GJniVpx2rl3cGu1O59hGt:Glz1yDCpx2rl/GO5w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75282:NAsAQJEgAEiAAmQEFrLbOCkiAUIkAEiKW8CFwIcADUk74FelhClXM0QEQCXAQHCEixApEC1mEWgSALEgcQCQEAVMIKpAlzRy

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:303038303c3c3c3c
Perceptual Hash:c667c7c766389838
Difference Hash:6948606060606060
Wavelet Hash:353c3c3c3c3c3c3c
Color Hash:#6b53ac

Other Hashes

Crop Resistant:6948606060606060

Scan History

Scan history not available

Unable to load historical scan data