Security Scan Report: microsoft-1ogin.duckdns.org

Submitted: Jul 17, 2026, 6:51:42 AMCompleted: Jul 17, 2026, 6:53:13 AMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is microsoft-1ogin.duckdns.org and was registered 13 years ago.

Submitted URL: https://microsoft-1ogin.duckdns.org/

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site impersonates Microsoft and is flagged by Safe Browsing for social engineering; treat as high‑risk phishing page.

Risk Factors
Brand impersonation of Microsoft on unrelated domain
Safe Browsing phishing indicator
Domain age information unavailable

Details

Page Title

Deployment Paused

Scan Type

public

Domain Name Analysis

The domain 'microsoft-1ogin.duckdns.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'microsoft-1ogin'. Its registrable label 'duckdns' stretches across 7 characters containing 1 vowel alongside six consonants. Breaking it apart gives 2 words: duck, dns. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://microsoft-1ogin.duckdns.org/

Page Load Overview

0.40s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:94 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
65%
news media journalism
60%
cryptocurrency blockchain
58%
healthcare medical
56%
real estate property
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.1United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF3174B755B1702EF2378CFA34E633642244812BC0920F49B668BBB8E2D7CA65023344

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hR01AUJXgZH+6n9zS3rJGm9q8hDH48OFFxnrFA+Dclgz9Dln38yRL48Ap7O0WCW0:TGoZ9S3dGNGDY7nnrm+AgJJ8E0X7/lW0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1653:BAAQAABACAAAAABAIAAgAIAIAACABAEIAACAgIIAAAAAAAADAEiAAAAgIQAGAIgAIIIAAAgAAAgAMAAAABAAAAAAEEAAQAAA

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:ffffffe7e7ffffe7
Perceptual Hash:e699cc996699cc89
Difference Hash:0000000c0c00000c
Wavelet Hash:3f3f3f27040c0c04
Color Hash:#2d82d2

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data