Security Scan Report: myflow.se

Redirected to:
https://myflow.io/
Site favicon
Submitted: Sep 25, 2026, 11:00:17 PMCompleted: Sep 25, 2026, 11:00:56 PMpubliccompleted

This website contacted 10 IPs in 1 country across 6 domains to perform 62 HTTP transactions. The main domain is myflow.io and was registered 13 years ago.

Submitted URL: https://myflow.se

Effective URL:

https://myflow.io/
Redirected

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Legitimate-looking self-branded AI SaaS landing page. No forms, no impersonation, and no threat-intel, YARA, or IDS hits. Only weak signals (unranked final domain, inline JS encoding helpers) are present.

Safety Factors
Self-branding detected: site title/meta mention 'myflow', matching the domain/brand it operates under — not impersonation.
No credential, login, or payment forms present on the page.
No cross-origin credential exfiltration and no cross-origin form submissions.
No threat-intelligence, YARA, kit-roster, or IDS indicators against the page or its loaded resources.
Coherent, professionally written product content describing an actual SaaS product with named features and integrations.
Domain age information unavailable

Details

Page Title

myflow - Meet your new AI team

Scan Type

public

Domain Name Analysis

Domain 'myflow.se' uses the Swedish country-code top-level domain (.se). The registrable portion 'myflow' spans 6 characters holding one vowel versus 5 consonants. Breaking it apart gives two words: my, flow. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://myflow.se

Page Load Overview

2.71s
Total Load Time
21.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,008 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical58% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
58%
government public service
30%
education learning
29%
documentation technical
27%
finance banking
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.21.7.154Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
6172.67.130.83Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
6185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
6185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
6210--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B441A68E6B300AE983381E6E3EFA3057074C103E202DD54B7BD5561DFC5EA9B6537A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:4Io7WhZ6J2xJ3kp7Q4Og4ouwsEcCmUh/rlJKAprCjdqACEJRvxrjjYFPMHCH:W75Q4Og4ouwsEcCmUh/rlJKAprCjdqAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:276291:DQgIgWABWioWkwuGCCGYEIMXAOUqCoZHAoJFASTMcgEDFJACEAALIYEoiEVQHRPJYlAJGSh4FBIAFiDBAjRcbApWBBUEOBgG

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:00c0c1ffffffffff
Perceptual Hash:e1656ccc8ccd6563
Difference Hash:960d0d8088000000
Wavelet Hash:000080607ffffefe
Color Hash:#783a62

Other Hashes

Crop Resistant:960d0d8088000000

Scan History

Scan history not available

Unable to load historical scan data