ScanMalware.com

Security Scan Report: apex-proposal-growth.live

Redirected to:
https://apex-proposal-growth.live/?fake_crap_for_dvmb_naive_idlots
Submitted: Jul 13, 2026, 4:15:41 AMCompleted: Jul 13, 2026, 4:16:49 AMpubliccompleted

Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is apex-proposal-growth.live and was registered 2 months ago.

Submitted URL: http://apex-proposal-growth.live/?fake_crap_for_dvmb_naive_idlots

Effective URL: https://apex-proposal-growth.live/?fake_crap_for_dvmb_naive_idlotsRedirected

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

New, unranked site impersonates Apex Auto Group without collecting credentials; treat as high‑risk brand impersonation.

Risk Factors
Very new domain (<30 days)
Brand name in meta tags does not match domain (impersonation)
Unranked / low reputation domain
High JavaScript obfuscation score
Safety Factors
Physical address displayed
No credential or payment collection forms
No malicious IoC or YARA detections
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 3
Domain age information unavailable

Details

Page Title

Apex Auto Group Growth System | Nabyek Media

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(72%)

Domain Information

The domain 'apex-proposal-growth.live' uses the .live top-level domain with no subdomain. The core label 'apex-proposal-growth' covers 20 characters holding six vowels versus twelve consonants, notching two hyphens. Word splitting yields three words: apex, proposal, growth. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://apex-proposal-growth.live/?fake_crap_for_dvmb_naive_idlots

Page Load Overview

1.80s
Total Load Time
17
HTTP Requests
3
Domains
371 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:10,512 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network72% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
72%
documentation technical
47%
e-commerce shopping
40%
entertainment media
37%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9185.158.133.1Frankfurt am Main, Hesse, Germany
AS13335Cloudflare, Inc.
8142.250.154.95Google · CDNUnited States
AS15169Google LLC
172--

Page Statistics

17
Requests
3
Unique Domains
528.2 KB
Total Size

Detected Technologies1

Open-Graph-Protocolvwebsite
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A30375712262257F622787F7B562FB59F0E6C31EC463836593FC13B517CAC82EA22584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:imWH7jnetNWmt9+Y7rGSrQfPUjX73hqFzqxmCehVl2K0dEtrdK0FAjmo96qD53Cg:imo7jnetNWmtMIrGYXFmTHrdJqN+8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41336:BEoFoDIImAjNIIVEQ2EPDXsuWw8xECBBsAgsMwhRgKQTCEjEEDAICFMhMkHigiOIJBgEkgKwIaiXClBFARARnA0oiQbAHxpy

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:0000787d78706000
Perceptual Hash:c29934669ff166c1
Difference Hash:95d1d1d9e3c5d9e5
Wavelet Hash:4141797d7971615d
Color Hash:#65783a

Other Hashes

Crop Resistant:560680000000200e,95d1d1d9e3c5d9e5

Scan History

Scan history not available

Unable to load historical scan data