Security Scan Report: sorrysaurav-ewkgpavoec.edgeone.app

Submitted: Mar 13, 2026, 3:24:17 PMCompleted: Mar 13, 2026, 3:25:41 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 14 HTTP transactions. The main domain is sorrysaurav-ewkgpavoec.edgeone.app and was registered NaN years ago.

Submitted URL: https://sorrysaurav-ewkgpavoec.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 page; no malicious activity detected but subdomain age is unknown.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new) – moderate suspicion
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Saurav β€” Maafi Ka Official Portal πŸ™

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

news media journalism

(71%)

Domain Information

The domain 'sorrysaurav-ewkgpavoec.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'sorrysaurav-ewkgpavoec'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Splitting it apart reveals 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://sorrysaurav-ewkgpavoec.edgeone.app/

Page Load Overview

2.07s
Total Load Time
13
HTTP Requests
3
Domains
2.2 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:1,052 chars
Detector Agreement:50%

Website Classification

Primary Category

news media journalism71% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
71%
corporate business
43%
adult content
42%
entertainment media
38%
healthcare medical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
4142.250.187.202United States
4142.251.208.3United StatesUnknown
133--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143C52314FBF68D144B609878242B0B883E91DDC6D42E4FF957D9E4E33DC9A25892F2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:9J6bTH01IB7vTO3q6PoHwJZgs9dB6qrRsST5H01IB7vTO3q6PoHwJZgs9dB6qrRl:9JImpPoHRxsmpPoHRxSPeGaojpTJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2600665:ESEEkFrAwAASk58dBCChC0AAAp/CmYANgGNAQgbBsAAIKT5IwGQp6HSUwQSSoOrEAACUHBVARmJQkCCXkICAJiA9OYhAQgai

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:00ffe7e7e7e7ffff
Perceptual Hash:b327cc4d330b6666
Difference Hash:600c4d4d4d4d300c
Wavelet Hash:00c6c3c30303071f
Color Hash:#d22dc7

Scan History

Scan history not available

Unable to load historical scan data