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Security Scan Report: established-rose-deq7r2xg1g-4hyppzc1sh.edgeone.app

Submitted: Mar 10, 2026, 11:47:19 AMCompleted: Mar 10, 2026, 11:48:46 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is established-rose-deq7r2xg1g-4hyppzc1sh.edgeone.app and was registered NaN years ago.

Submitted URL: https://established-rose-deq7r2xg1g-4hyppzc1sh.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: 88%

1
Risk Score

Legitimate personal portfolio site; no threats detected.

Safety Factors
Absence of credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware or suspicious scripts detected
Content appears to be a personal resume/portfolio
Standard hosting platform subdomain without any red‑flag indicators
Domain age information unavailable

Details

Page Title

Sanyam Choudhary - Full Stack & Data Enthusiast

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

technology software

(97%)

Domain Information

The domain 'established-rose-deq7r2xg1g-4hyppzc1sh.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'established-rose-deq7r2xg1g-4hyppzc1sh'. Count 7 characters in 'edgeone' with four vowels and three consonants. Splitting it apart reveals two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://established-rose-deq7r2xg1g-4hyppzc1sh.edgeone.app/

Page Load Overview

0.69s
Total Load Time
7
HTTP Requests
3
Domains
191 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:1,330 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software97% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
97%
healthcare medical
54%
education learning
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.141.67United States
AS15169
243.152.26.58Singapore
AS139341ACE
2142.250.186.42United StatesUnknown
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B862E9A184F214226256D4C42F721B6F2F94EA03C40FC36573AC9BD99F86DC0ED73A68

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:0Qxy9ODuEHlCQdF0cFw51F0UqJKsAjRkQRN2bFJBruWB9GuSym323HI4eW4U+Er/:0QhpFxFF/Ouus3hHleW4UlQynP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15102:cQAEVgQaINqcxAEsXYMQuGyZIjQCAgBACQDEqQG9yAgpERQAQQUBJLWAscoYCBMAgCXKDoaKBOoAwIQKEEC0WYkDGapSaPDb

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:3c3c3c3c3c3c3c3c
Perceptual Hash:d263633c3c1c696d
Difference Hash:ccccccf0e4f4f4f4
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#7994d2

Other Hashes

Crop Resistant:0000000200000000,5b5b5b5a5a5a585b,ae8e96f2c2e2e2e2,ccccccf4e4f4f4f4

Scan History

Scan history not available

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