Security Scan Report: sllmwm.webwave.dev

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Submitted: Oct 13, 2025, 6:11:21 PMCompleted: Oct 13, 2025, 6:12:02 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is sllmwm.webwave.dev and was registered NaN years ago.

Submitted URL: https://sllmwm.webwave.dev/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate and inactive.

Safety Factors
Well-established domain (>6 years)
No credential or payment forms
No malicious Indicators of Compromise
Page indicates site is under construction, not a phishing lure
Domain age information unavailable

Details

Page Title

New website 1

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'sllmwm.webwave.dev' is registered; it also runs on subdomain 'sllmwm'. The second-level label 'webwave' is 7 characters long containing 3 vowels alongside 4 consonants. Segmentation suggests 2 words: web, wave. Average segment length settles at 3.5 characters. 'web' most often appears in English. It also appears in Chinese (Pinyin) and Vietnamese contexts. Taken together, it feels English.

Screenshot

Security scan screenshot of https://sllmwm.webwave.dev/

Page Load Overview

6.15s
Total Load Time
5
HTTP Requests
1
Domains
55 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:204 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3185.30.124.158Poland
AS20853eTOP sp. z o.o.
2185.73.228.142Poland
AS20853eTOP sp. z o.o.
52--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F410D5F58AEBC232407615299877228BF54C243C701C8A439AD6CEC5FEFA4744E2ABC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:opukhwkrBwtPtUozMjKH6klHmpzPCWpqXaQrMLQg5GKh30MQ6uQQ:xjkrBwtPbAjdkw6nRGFzh0hQQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2019:hCYEAEAKBAAEQAgogBgAABABAACAAAAAAAAApAACAAAACAAgABDAQBAAABhAEEAAAIAA5AAAAAhECACAFAgACIAAeAABAAAg

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:0fffffffffffffff
Perceptual Hash:931b1b1b1b1b1b1b
Difference Hash:d800000000000000
Wavelet Hash:00f0f0f0f0f0f0f0
Color Hash:#9e6ce0

Other Hashes

Crop Resistant:d800000000000000

Scan History

Scan history not available

Unable to load historical scan data