Security Scan Report: suckerbird.com

Redirected to: blob:https://e-learning.mnemocurso.com.br/cace10ee-e2dd-45d4-95b9-54ce11e4a47d

Submitted: Apr 1, 2026, 10:14:08 PMCompleted: Apr 1, 2026, 10:15:34 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 10 HTTP transactions. The main domain is and was registered NaN years ago.

Submitted URL: https://suckerbird.com/wp-includes/Text/evgudyf/mcwkhbo/ylqfupe/link.html

Effective URL: blob:https://e-learning.mnemocurso.com.br/cace10ee-e2dd-45d4-95b9-54ce11e4a47dRedirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Phishing page mimicking CapitalOne login; do not enter credentials and report as scam.

Risk Factors
Brand impersonation on unranked domain
Compromised WordPress site serving a login form
Blob URL scheme used to hide content source
Disguised password fields (type=text with password placeholder)
Unicode character mixing for evasion
Domain age information unavailable

Details

Page Title

Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(62%)

Domain Information

The domain name 'suckerbird.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'suckerbird' covers 10 characters split between 3 vowels and seven consonants. It segments into two words: sucker, bird. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://suckerbird.com/wp-includes/Text/evgudyf/mcwkhbo/ylqfupe/link.html

Page Load Overview

2.41s
Total Load Time
8
HTTP Requests
5
Domains
189 KB
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:1,982 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking62% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
62%
documentation technical
48%
adult content
47%
social media network
43%
corporate business
43%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
423.36.162.211Germany
1151.101.66.137Brazil
174.208.236.174United States
AS8560IONOS SE
150.116.86.69Vinhedo, São Paulo, Brazil
AS19871Network Solutions, LLC
123.36.162.212Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
85--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18BE34C36619304BAA9A385885BEB2B4A3E545847D0CAD13477ACB7D80FC38D5D4BE3DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZQlISjLbAqFbohxb1Ma39lGbocwruWNOTAHo:ZQlISjLbn4xKnb4o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:144413:CKEQCxAcjAYBIIEEgmgAmIwhEoEHEb0TCAAImJQcMGsMBRGDSgAgAKIwAQIkiW0gBiCDAGECWhBCIRYAKAANQshDiUvBAAIJ

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:77e7ffe7e7ffc6ff
Perceptual Hash:b327cc37239d8931
Difference Hash:cc0c104c4d082c00
Wavelet Hash:00c7c3c3c3e700ff
Color Hash:#87c5c1

Other Hashes

Crop Resistant:cc0c104c4d082c00

Scan History

Scan history not available

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