ScanMalware.com

Security Scan Report: linkupaffix.pages.dev

Redirected to:
https://linkupaffix.pages.dev/1/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/77fc4baf-f672-411d-b891-ec6070765ec6Domain and IP registration (RDAP)/api/v1/rdap/77fc4baf-f672-411d-b891-ec6070765ec6How often this domain was scanned/api/v1/domain/stats/linkupaffix.pages.devScan history for this domain/api/v1/domain/history/linkupaffix.pages.dev?limit=15
This website contacted 5 IPs in 2 countries across 4 domains to perform 34 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://linkupaffix.pages.dev/

Effective URL:
https://linkupaffix.pages.dev/1/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Crypto wallet support page with an ET PHISHING alert, typo-laden branding, and a wallet-validation/recovery funnel linking to dapps.html; treat as a phishing/drainer risk.

Risk Factors (5)
ET PHISHING IDS alert on the page
Crypto wallet account-recovery and validation lure
Links funnel users to dapps.html for wallet-related 'help'
Free pages.dev hosting with unknown subdomain age
Misspelled and inconsistent branding, including 'Wallectconnect'
Domain age information unavailable

Details

Page Title

Wallectconnect

Scan Type

public

Domain Name Analysis

You're looking at domain 'linkupaffix.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'linkupaffix'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Breaking it apart gives one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

ot Linkup Affix Linkup Affix Linkup Affix is a decentralized protocol and platform that combines Blockchain and Defi, implementing elements from Blockchain with non-custodial management, Micropools,...

Page Load Overview

1.51s
Total Load Time
336 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:1,758 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
80%
finance banking
69%
technology software
59%
documentation technical
58%
adult content
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.66.44.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
637.9.175.171Slovakia
AS51013WebSupport s.r.o.
6142.251.13.95Google · CDNUnited States
AS15169Google LLC
6142.251.20.94Google · CDNUnited States
AS15169Google LLC
6172.66.47.35Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
345--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C721035B4F461370163A0B1A6E06E5FFFA1D60BD72B5568B6BC0AF45FA7F418923088

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:R5K28GK1P1x18K6gZZ8HC/ZxiswlN7al1ON1m1G1RF:R5K2pK1P1x18iD8iBcr7Ol1ON1m1G13

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16760:UAEYKgQWZwEsAtYIChv3UgIEBhdsBGGsmoEjgAKTYkVAgJBGBcLUgFYNMABgIxoALzEHbLFmz2ACIBgIoPYCWCBkAUQ2z4AU

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:61616d7171017101
Perceptual Hash:e2e1333c0e1e3bc3
Difference Hash:81c1c9a5c59981c1
Wavelet Hash:6161ff01f1717171
Color Hash:N/A

Other Hashes

Crop Resistant:564656800200200e,81c1c9a5c59981c1

Scan History

Scan history not available

Unable to load historical scan data