Security Scan Report: swyt-new.micad.systems

Redirected to: https://swyt-new.micad.systems/pages/login.aspx?ReturnUrl=%2f#!

Submitted: Mar 30, 2026, 4:16:47 AMCompleted: Mar 30, 2026, 4:17:55 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is swyt-new.micad.systems and was registered NaN years ago.

Submitted URL: https://swyt-new.micad.systems

Effective URL: https://swyt-new.micad.systems/pages/login.aspx?ReturnUrl=%2f#!Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

Login page contains suspicious form techniques; avoid entering credentials unless the site is verified.

Risk Factors
Disguised password field
Unicode evasion in form fields
Highly obfuscated JavaScript with dynamic code execution
Safety Factors
Domain age >10 years (well‑established)
No malicious Indicators of Compromise matches
No network IDS alerts
No cross‑origin credential exfiltration detected
Standard hosting (no IPFS or cloud‑storage hosting)
Domain age information unavailable

Details

Page Title

Micad Audit Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(49%)

Domain Information

Domain 'swyt-new.micad.systems' uses the .systems top-level domain with subdomain 'swyt-new'. The registrable portion 'micad' spans 5 characters containing 2 vowels alongside three consonants. It segments into 2 words: mica, d. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://swyt-new.micad.systems

Page Load Overview

2.08s
Total Load Time
26
HTTP Requests
3
Domains
1.2 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:257 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
49%
technology software
31%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1051.104.57.162Cardiff, Wales, United Kingdom
AS8075Microsoft Corporation
8108.138.7.72United States
AS16509Amazon.com, Inc.
813.226.244.40United KingdomUnknown
263--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F462D6149DAE4C22101396F8B5FAEB846EBA913783048C4877FC59756FD6F884F2368C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+pyg/J/tcTkQ+i1ZhJLgE7BQt9XoXr15GJmUZXLYIHDZJDUEhbbVCfw:kp7cTBhJLp8lqw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15342:QiBkHTJIgBAVyBqEQFnFhrCBAUVYTBDETsBIFLnIKAAY5bY8EYChMARgOOEbKgArIdpEgIs0XIBpyDJkkAAxujC3CIKaSg1R

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:fff7e7e7e7a5ffff
Perceptual Hash:e699992699336699
Difference Hash:00080c28280c0000
Wavelet Hash:c3dbc7c7d0c0c0d0
Color Hash:#bf40a1

Other Hashes

Crop Resistant:00080c28280c0000

Scan History

Scan history not available

Unable to load historical scan data