Security Scan Report: soviet-lavender-sxizejttnc-3gk288erlh.edgeone.app

Submitted: Feb 5, 2026, 1:06:28 AMCompleted: Feb 5, 2026, 1:07:41 AMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 1 HTTP transaction. The main domain is soviet-lavender-sxizejttnc-3gk288erlh.edgeone.app and was registered NaN years ago.

Submitted URL: https://soviet-lavender-sxizejttnc-3gk288erlh.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain age
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No suspicious JavaScript or external links
Domain age information unavailable

Details

Page Title

Visual Community | SA:MP RP

Scan Type

public

Language

🇭🇷

HR

(44% confidence)

Category

forum community discussion

(96%)

Domain Information

Domain 'soviet-lavender-sxizejttnc-3gk288erlh.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'soviet-lavender-sxizejttnc-3gk288erlh'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Word splitting yields 2 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://soviet-lavender-sxizejttnc-3gk288erlh.edgeone.app/

Page Load Overview

4.44s
Total Load Time
8
HTTP Requests
4
Domains
262 KB
Total Size

Language Analysis

Primary Language

🇭🇷HR
Code: hr
Confidence:44%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hr
Detection Confidence:44%
Script Type:Unknown
HTML Lang Attribute:bs
Text Length:334 chars
Detector Agreement:67%
Language mismatch: Declared as bs but detected as hr

Website Classification

Primary Category

forum community discussion96% confidence
Type: static
Method: ml+structural

All Detected Categories

forum community discussion
96%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.217.16.170Singapore
2216.58.206.35United States
2146.75.120.193Sweden
243.152.26.58Singapore
84--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F27176A262F12101B5A698C03D935B1A7359C413910FCD18B7E80858EFD93DEB97365C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:89+c2zDCewLtvjJC81Cd70sRPCqqAla4xQ7XWz0crPeE0hRz:epZMzdrR64lpQ5cChhRz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3559:pGAAQKMEBAAIAAAkYQAiEBEAJIAAQAABAAQIKAgmoCwBAgQAAgAQAAIQCCAIAAAAAABMYgAFJEDDAIBGCQuAEQABSMIARGRi

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:c000eceece000000
Perceptual Hash:d2f02d2dd2f06c2d
Difference Hash:32e088981828c0b0
Wavelet Hash:fe3cfceece8c0010
Color Hash:#1f9321

Other Hashes

Crop Resistant:32e088981828c0b0

Scan History

Scan history not available

Unable to load historical scan data