Security Scan Report: evimbackend.sumbawatimurmining.com

Redirected to:
https://evim.sumbawatimurmining.com/auth/login?next=/
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Submitted: Jun 25, 2026, 2:25:28 AMCompleted: Jun 25, 2026, 2:26:44 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is evim.sumbawatimurmining.com and was registered NaN years ago.

Submitted URL: https://evimbackend.sumbawatimurmining.com

Effective URL: https://evim.sumbawatimurmining.com/auth/login?next=/Redirected

The Cisco Umbrella rank of the primary domain is #634,946 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Login page for EVIM backend; no malicious signals detected, low overall risk.

Risk Factors
Low Cisco Umbrella ranking (rank #634,946)
Presence of credential form (login) on unknown service
Safety Factors
Domain age > 3 years
No malicious JavaScript or network indicators
Cross‑origin submission appears legitimate
No external malicious resources loaded
Domain age information unavailable

Details

Page Title

E-VIM

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

Within the commercial generic top-level domain (.com), 'evimbackend.sumbawatimurmining.com' is registered and includes subdomain 'evimbackend'. The registrable portion 'sumbawatimurmining' spans 18 characters split between 7 vowels and eleven consonants. Word splitting yields three words: sumbawa, timur, mining. Median word length is 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://evimbackend.sumbawatimurmining.com

Page Load Overview

5.97s
Total Load Time
23
HTTP Requests
5
Domains
6.6 MB
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:162 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software70% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
63%
government public service
29%
adult content
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1215.232.42.110Jakarta, Jakarta, Indonesia
AS16509Amazon.com, Inc.
11108.137.158.92Jakarta, Jakarta, Indonesia
AS16509Amazon.com, Inc.
232--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16982FE16D6F138D3D10B8358B0D7BB2762A69D448F8B9CB89DE9D17C8ECA8C4423BD54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:K6FJaTtXTPsQjtBAEYBrdFD2r2wGSXKJmWh:K6FJaTtXTECtBAEYBhFD2r2wdKEw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18437:VQhggYCAwIEC8ZYAKjDAHCHxUIQlEECUEVAA0sAAEwRRdLcMTkISCWEAcHzELVhOUIAmFEwXPahRhGgBAYFDBeItAPQgADlJ

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:cf8f8f8387cfffff
Perceptual Hash:b838c6c761c6c6c7
Difference Hash:1a1a381e1a18e218
Wavelet Hash:0e000e00828ec0c0
Color Hash:#291f93

Scan History

Scan history not available

Unable to load historical scan data