Security Scan Report: mmtech-nslj3rx2ip.edgeone.app

Submitted: Mar 31, 2026, 4:11:42 PMCompleted: Mar 31, 2026, 4:13:02 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is mmtech-nslj3rx2ip.edgeone.app and was registered NaN years ago.

Submitted URL: https://mmtech-nslj3rx2ip.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: 92%

2
Risk Score

No malicious indicators detected; site appears low risk despite being a newly created subdomain on a hosting platform.

Risk Factors
New subdomain on edgeone.app hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment collection forms
No malicious JavaScript or behavior observed
No cross‑origin credential exfiltration
Low Cisco Umbrella ranking does not indicate malicious activity by itself
Domain age information unavailable

Details

Page Title

MM TECH

Scan Type

public

Language

🇸🇦

Arabic

(60% confidence)

Category

social media network

(100%)

Domain Information

The domain 'mmtech-nslj3rx2ip.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mmtech-nslj3rx2ip'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mmtech-nslj3rx2ip.edgeone.app/

Page Load Overview

0.85s
Total Load Time
5
HTTP Requests
2
Domains
238 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:60%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:60%
Script Type:Arabic
HTML Lang Attribute:ku
Text Length:79 chars
Detector Agreement:100%
Language mismatch: Declared as ku but detected as ar

Website Classification

Primary Category

social media network100% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
100%
forum community discussion
93%
e-commerce shopping
91%
technology software
79%
documentation technical
74%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
2104.17.25.14Singapore
52--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A5174E75AE71012B507D1A02FB6AF0599D58457D20BEC143ECD228D8FC2668F5A37DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:V7ad9Va9ICo4kST3p90lck+0QniR3zCyl013Wau9x:pq6BVkSTpClcewiR3k13Wau9x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2862:ACABARgAAQAQFDwkEEAACAgBEQAACQBCACUAIAAAIACAQAEEACAACIQAQEQCAAAAgAQAAMSEgABEAgEgAAICKCgtwCAAAAIA

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:0000181818180000
Perceptual Hash:9999666699999966
Difference Hash:0008101010100800
Wavelet Hash:3c3c3c3c3c3c0000
Color Hash:#3c783a

Other Hashes

Crop Resistant:0008101010100800

Scan History

Scan history not available

Unable to load historical scan data