Security Scan Report: u50081334.ct.sendgrid.net

Redirected to: https://selfcare.floa.com/signin'

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Submitted: Dec 30, 2025, 12:05:28 PMCompleted: Dec 30, 2025, 12:07:05 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is selfcare.floa.com and was registered NaN years ago.

Submitted URL: https://u50081334.ct.sendgrid.net/ls/click?upn=u001.H4VzqEeCvbJmlPBPA8IqHBLMD4Pw8roC-2BU9SoHiRl6p39Vfk56FEVVuM6B0eiXgTc3hg_k4ncZkd5zjG4mLQpcoZAZerDmGdZ5JOD2AzVVlCVkrLZK2No0Z1IHvEEf2fyzfgkqmmCMIFDpqi7MrxKsX75WOj0SbCPuMyzz5eflP2q83Audk8APGb9Ja9QS4TBaiD-2BWrNndP9q64P89KP-2FFr7zPuv3PdpDYZuHrtldn-2FtH300xeBlVIRqSTXUKzJPLUkA0HYXCXnOwjS8d-2Bg8pV50RSA-3D-3D

Effective URL: https://selfcare.floa.com/signin'Redirected

The Cisco Umbrella rank of the primary domain is #4,130 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate redirect to selfcare.floa.com with no suspicious activity.

Safety Factors
Well‑established domain age
High Cisco Umbrella ranking
Legitimate marketing redirect service used
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by imperva bot protection. Our scanner was challenged or blocked during access.

Page Title

Customer Portal

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain 'u50081334.ct.sendgrid.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'u50081334.ct'. Count 8 characters in 'sendgrid' with two vowels and 6 consonants. Segmentation suggests two words: send, grid. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://u50081334.ct.sendgrid.net/ls/click?upn=u001.H4VzqEeCvbJmlPBPA8IqHBLMD4Pw8roC-2BU9SoHiRl6p39Vfk56FEVVuM6B0eiXgTc3hg_k4ncZkd5zjG4mLQpcoZAZerDmGdZ5JOD2AzVVlCVkrLZK2No0Z1IHvEEf2fyzfgkqmmCMIFDpqi7MrxKsX75WOj0SbCPuMyzz5eflP2q83Audk8APGb9Ja9QS4TBaiD-2BWrNndP9q64P89KP-2FFr7zPuv3PdpDYZuHrtldn-2FtH300xeBlVIRqSTXUKzJPLUkA0HYXCXnOwjS8d-2Bg8pV50RSA-3D-3D

Page Load Overview

5.88s
Total Load Time
7
HTTP Requests
2
Domains
88 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:15 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.177.157.111Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
345.60.87.57United States
AS19551INCAPSULA
72--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1692142838C05ECA6E64407EDD8FBF0CCC47BE104C584DD4890D95555A4E2FE2447367D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kW5dC66jSKzCR1vCQTV4IgNAVMGgcunCWMZRV7TvPijDaj:B546iW7vDTVwNV0z6yj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1337:AAEAgAABgAAABCAIgAAEACAAAAAAAEAAAAAEAAAAAQAAAAAAAASAAACCAEAAGABAAAAAAAAAAEQCAIABAAABABhAAAABAABQ

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#2dd2b1

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data