Security Scan Report: nz-nazmul-hack-qq6hpckmvv.edgeone.app

Submitted: Mar 15, 2026, 2:45:25 PMCompleted: Mar 15, 2026, 2:46:52 PMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is nz-nazmul-hack-qq6hpckmvv.edgeone.app and was registered NaN years ago.

Submitted URL: https://nz-nazmul-hack-qq6hpckmvv.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: 75%

2
Risk Score

No malicious activity detected; site appears benign but is a new subdomain, proceed cautiously.

Risk Factors
Presence of low‑reputation external domains (api880.inpay88.net, static.tkclub.vip)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation score
No network IDS alerts
Domain age information unavailable

Details

Page Title

Nazmul VIP MOD Overlay

Scan Type

public

Language

🇷🇴

RO

(44% confidence)

Category

adult content

(76%)

Domain Information

The domain 'nz-nazmul-hack-qq6hpckmvv.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'nz-nazmul-hack-qq6hpckmvv'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Word splitting yields two 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://nz-nazmul-hack-qq6hpckmvv.edgeone.app/

Page Load Overview

4.87s
Total Load Time
50
HTTP Requests
6
Domains
1.5 MB
Total Size

Language Analysis

Primary Language

🇷🇴Romanian
Code: ro
Confidence:44%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ro
Detection Confidence:44%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:71 chars
Detector Agreement:67%
Language mismatch: Declared as en but detected as ro

Website Classification

Primary Category

adult content76% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
76%
healthcare medical
30%
technology software
30%
news media journalism
28%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1843.152.26.58Singapore
16104.21.78.13United States
AS13335Cloudflare, Inc.
16142.251.141.67United States
AS15169Google LLC
503--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B526D7F4A153DB2C97D5294F1B1BFCA347868027493A688C43F80C94E69DA721BB2CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:UKqfsj0vk0swYeZpZrd50ym+Vt52jTsUdsMayKAOEHt2s:9KY0vkpwYcZY6VtssKsMd9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13312:AQRgBw5LgAgWgJQgAylJks0iME4DDEQSwBhkYDD1CQLDrkFwBArIgNhHwggMCDAHgBAQnUpTWQIoxRoshiBRrIAJQUZTgiSY

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:0018182424181818
Perceptual Hash:993339333333d98c
Difference Hash:4c32b2aaaab2b3b3
Wavelet Hash:001818181c1c3f3f
Color Hash:#6ce098

Scan History

Scan history not available

Unable to load historical scan data