Security Scan Report: m-aamir-cv-4kb312xggw.edgeone.app

Submitted: Mar 30, 2026, 3:32:28 AMCompleted: Mar 30, 2026, 3:33:55 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is m-aamir-cv-4kb312xggw.edgeone.app and was registered NaN years ago.

Submitted URL: https://m-aamir-cv-4kb312xggw.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: 70%

3
Risk Score

Personal CV page on a new free‑hosting subdomain; no malicious activity seen but new subdomain warrants caution.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain ranking in Cisco Umbrella
Domain appears to be newly created
Safety Factors
No forms or credential fields detected
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

CV - M. Aamir

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(59%)

Domain Information

You're looking at domain 'm-aamir-cv-4kb312xggw.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'm-aamir-cv-4kb312xggw'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Segmentation suggests two 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://m-aamir-cv-4kb312xggw.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
4 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:1,593 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning59% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
59%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0F1204299F720125A9321A26FE25B1A6EB58507D54EC9903BFCD388CFC5DC1DE23B0C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujYDvF/znFX2DfADajikyJnnR6/W2yx5Wlci5uz:1DvFbnFmDoDFUXnU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7914:0xASEHBcGghESARQRKCLcY60BriYgADBHhMwEJIA0UAFATfIiEHyIggigI6hEtGgMGwChICCsqIBJCjhJKgQgJBKgAjgFmMI

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:cfcfcfcfcfcfcfcf
Perceptual Hash:b9c6c6c6c6c686c6
Difference Hash:989c9c9c9c9c9999
Wavelet Hash:cec2c6c606060707
Color Hash:#c587a3

Other Hashes

Scan History

Scan history not available

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