Security Scan Report: swyftxfinancial.com

Redirected to:
https://swyftxfinancial.com/docusign/legal/transcript/Y1zITgYEA4b/
Submitted: Sep 23, 2026, 12:45:34 AMCompleted: Sep 23, 2026, 12:47:12 AMpubliccompleted

This website contacted 9 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is swyftxfinancial.com and was registered 18 years ago.

Submitted URL: http://swyftxfinancial.com/docusign/legal/transcript/Y1zITgYEA4b

Effective URL:

https://swyftxfinancial.com/docusign/legal/transcript/Y1zITgYEA4b/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake Docusign page on a 75-day-old unrelated domain luring users to download a bogus 'Docusign Desktop' installer — brand impersonation and malware-distribution pattern; do not download.

Risk Factors
Brand impersonation of Docusign on a non-official, unrelated domain
Fake application download prompt (Docusign Desktop v6.2.1) consistent with malware distribution
Very new domain (75 days old) hosting a brand-impersonating page
Network IDS HIGH alert (ET DROP Spamhaus DROP Listed Traffic Inbound)
Domain age information unavailable

Details

Page Title

Docusign - Download to Review & Sign Document

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'swyftxfinancial.com' is registered without a subdomain. Count 15 characters in 'swyftxfinancial' holding four vowels versus 11 consonants. Breaking it apart gives 5 words: s, wy, ft, x, financial. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://swyftxfinancial.com/docusign/legal/transcript/Y1zITgYEA4b

Page Load Overview

1.44s
Total Load Time
233 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:701 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing83% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
83%
technology software
73%
documentation technical
73%
finance banking
56%
corporate business
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6178.16.54.253Amsterdam, North Holland, Netherlands
AS202412Omegatech LTD
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
113.33.187.16Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
118.173.205.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
123.76.204.42Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
195.101.74.89Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
195.101.74.76Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
115.197.167.90Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
149--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DAC08CB7C021890FAB3026F8C9827894AF08920DC1321E44B6D0E2A6F448EEB848329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYaXEQoqa:qzxV/5VHHoB96D3ne1k9Ycw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:348fc553335bda82dffebf49122dd182

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#53ac72

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data