Security Scan Report: mem1.wiki

Submitted: Apr 23, 2026, 6:19:48 PMCompleted: Apr 23, 2026, 6:21:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is mem1.wiki and was registered NaN years ago.

Submitted URL: https://mem1.wiki/@vite/client

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

New, unranked site with a password‑only form and heavily obfuscated JavaScript – strong indicators of credential phishing.

Risk Factors
Brand‑new domain (<7 days)
Credential‑only form (password field without username)
Unranked / low‑reputation domain
Critical JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

AffGPT — AI for Affiliate Marketing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(32%)

Domain Information

Domain 'mem1.wiki' uses the .wiki top-level domain while skipping any subdomain. Count 4 characters in 'mem1' split between 1 vowel and 2 consonants; it also includes 1 digit. Splitting it apart reveals 2 words: mem, 1. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mem1.wiki/@vite/client

Page Load Overview

2.04s
Total Load Time
28
HTTP Requests
1
Domains
2.6 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:103 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain32% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
32%
technology software
30%
social media
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28135.181.40.230Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
281--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0B21019F6B2C6A67C33663D67DEA1087329E047C819DEEDBAC89130CF856F5ADC1604

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:nfIZN4/ngetg9tLnsSOfpBVfkL4chKnJL55rekLX7yD:gkg9hnsSOfpBVf3JfrekL4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24612:kIEgrEAkNBDCVQcDAAAB8LVKI2gIR0kirFiG1iYEGQiCRIC9CkI5eEogdcIUC2oEA0IBWgAQySBjAQ4TSCggBKoGBgBAAkAr

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:cc6633d9cc669931
Difference Hash:0000103232320c10
Wavelet Hash:00003838fcfcf0f0
Color Hash:#78493a

Other Hashes

Crop Resistant:0000103232320c10

Scan History

Scan history not available

Unable to load historical scan data