Security Scan Report: negative-silver-qk81rbn7ab-kx2letq5m9.edgeone.app

Submitted: Apr 30, 2026, 3:21:16 PMCompleted: Apr 30, 2026, 3:22:24 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 12 HTTP transactions. The main domain is negative-silver-qk81rbn7ab-kx2letq5m9.edgeone.app and was registered NaN years ago.

Submitted URL: https://negative-silver-qk81rbn7ab-kx2letq5m9.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: 82%

2
Risk Score

Low risk personal portfolio site with no malicious indicators.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the subdomain
Unknown subdomain age on a hosting platform
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or network alerts
Content aligns with education/portfolio category
Domain age information unavailable

Details

Page Title

Lakshita Dorothy Cachart — Software Engineering Student

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(96%)

Domain Information

Domain 'negative-silver-qk81rbn7ab-kx2letq5m9.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'negative-silver-qk81rbn7ab-kx2letq5m9'. Count 7 characters in 'edgeone' split between 4 vowels and three 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://negative-silver-qk81rbn7ab-kx2letq5m9.edgeone.app/

Page Load Overview

0.99s
Total Load Time
12
HTTP Requests
3
Domains
293 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:3,500 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning96% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
96%
technology software
58%
government public service
54%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.178.170.95United States
AS15169Google LLC
443.152.26.58Singapore
4142.251.13.94United States
AS15169Google LLC
123--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195E2852262F2103AB1A3D1917BA7571F7664E503C90B8A9877FC0688CFCBDD5DE53A18

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:CmEIUrn2NV2WGMrgN4nUGt4bWJe7pHjTNNxcJS/u4ultjI5Bmc7:CPl7apGkgNw3t4SJe7pDTTlejK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33726:GCCAjwFhqCoDnBWibAYrhJApDKiqAG0BYAwIJByBcIoTAkWgAQJgIteM1aHAA1ZgpgxAoBTbODBIABUEx9EXCzwrBl0cUgQp

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:f0f0f0f0f0f0f0f0
Perceptual Hash:e6b1b991b1939199
Difference Hash:a425e5e565e5e525
Wavelet Hash:f0f0f0f0f0f0f0f0
Color Hash:#53ac60

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data