Security Scan Report: zmslqaek.bradesco.support.zaka25.duckdns.org

Redirected to:
https://zmslqaek.bradesco.support.zaka25.duckdns.org/study.html
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 4 domains to perform 28 HTTP transactions. The main domain is duckdns.org and was registered 13 years ago.

Submitted URL: https://zmslqaek.bradesco.support.zaka25.duckdns.org

Effective URL:
https://zmslqaek.bradesco.support.zaka25.duckdns.org/study.html
Redirected

The Cisco Umbrella rank of the primary domain is #76,811 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 87%

8
Risk Score

Safe Browsing flags this duckdns page for social engineering (2 hits) and its hostname embeds the bank brand 'Bradesco'. No credential form on this page, but it is untrustworthy phishing-linked infrastructure.

Risk Factors (5)
Google Safe Browsing social-engineering threat classified on the page
Bank brand name ('bradesco') used in the hostname on a non-bank, free dynamic-DNS subdomain
Dynamic DNS hosting commonly used for throwaway phishing infrastructure; IDS flagged duckdns traffic 20 times
No visible legitimate business purpose; page appears to be a disposable redirect/gateway hub
Randomized subdomain labels (zmslqaek, zaka25) consistent with automated phishing-kit provisioning
Domain age information unavailable

Details

Page Title

zaka

Scan Type

public

Domain Name Analysis

The domain 'zmslqaek.bradesco.support.zaka25.duckdns.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'zmslqaek.bradesco.support.zaka25'. The registrable portion 'duckdns' spans 7 characters containing one vowel alongside six consonants. It segments into 2 words: duck, dns. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zmslqaek.bradesco.support.zaka25.duckdns.org

Page Load Overview

1.43s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:115 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
99%
entertainment media
98%
forum community discussion
87%
technology software
81%
cryptocurrency blockchain
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8147.224.137.194Oracle · CLOUDChicago, Illinois, United States
AS31898Oracle Corporation
5104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.250.154.97Google · CDNUnited States
AS15169Google LLC
5104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5216.239.34.36Google · CDNUnited States
AS15169Google LLC
285--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155D2D97B25B316364727106E777FA248B9F1400BAC4AC810B8ACD6882FE4ED5857B7DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:aee51FLMHLRBd6qgxewc5wkgzpnUh/5O9TsShCEGyPDJcs:pe51FLMHLjd6qgxeJ5wkgzpnUh/5OZZh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29969:cA9SADWEUC4OcgA/RUBgAgIDIgVMRvQOBQBV0+TKZAAUCDAIqAgcJGCBYkIFQJpDwKEbYWugIMEWpABuCKFcHeAIdMqAQAQE

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:ff0000181c180000
Perceptual Hash:dff0a2d888f0a8d6
Difference Hash:0000003030300001
Wavelet Hash:ffc2809cbcb88081
Color Hash:#4f783a

Other Hashes

Crop Resistant:0000003030300001

Scan History

Scan history not available

Unable to load historical scan data