Security Scan Report: connect.stripe.com

Redirected to: https://dashboard.stripe.com/login

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Submitted: Dec 6, 2025, 8:44:07 AMCompleted: Dec 6, 2025, 8:45:07 AMpubliccompleted
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Summary

This website contacted 44 IPs in 3 countries across 19 domains to perform 106 HTTP transactions. The main domain is dashboard.stripe.com and was registered NaN years ago.

Submitted URL: https://connect.stripe.com/

Effective URL: https://dashboard.stripe.com/loginRedirected

The Cisco Umbrella rank of the primary domain is #900 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Stripe login page with no security concerns.

Safety Factors
Official brand domain (stripe.com)
High reputation and long registration history
Secure login page with standard email/password fields
Domain age information unavailable

Details

Page Title

Stripe Login | Sign in to the Stripe Dashboard

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(34%)

Domain Information

The domain 'connect.stripe.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'connect'. The core label 'stripe' covers 6 characters with two vowels and 4 consonants. Segmentation suggests 1 word: stripe. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://connect.stripe.com/

Page Load Overview

2.19s
Total Load Time
106
HTTP Requests
19
Domains
12.2 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-US
Text Length:528 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software34% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
34%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
50146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2013.32.99.12New York, New York, United States
AS16509AMAZON-02
1754.187.119.242Boardman, Oregon, United States
AS16509AMAZON-02
1013.32.99.100New York, New York, United States
AS16509AMAZON-02
634.252.74.21Dublin, Leinster, Ireland
AS16509AMAZON-02
4104.19.230.21United States
AS13335CLOUDFLARENET
454.186.23.98Boardman, Oregon, United States
AS16509AMAZON-02
318.172.112.48United States
AS16509AMAZON-02
254.195.39.4Dublin, Leinster, Ireland
AS16509AMAZON-02
254.228.71.178Dublin, Leinster, Ireland
AS16509AMAZON-02
10644--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183F320B39CBB8D370F6D72D59100A39C8A97830B6BA59BF654DA094706E04EF0C539DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/y/kkaUcc2a1qniPFHHk+NPH2KbwS2eOH8/4Gfo5:oNKiPFHH8KbSeOH8/4Gfo5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165731:QihRpgaJQASEo4UYFIA5Egj5E0DCYYAwQAkkgEI6KgAGgztgmPgDApCKGAIDCAAEFECEjqAGoIVAIkxJEkcJYFWIUSAAcicQ

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:001b1f7ffffffefc
Perceptual Hash:9a0d5afd72a152d4
Difference Hash:3373fccc0c4c0029
Wavelet Hash:00080f27e6e6fcfc
Color Hash:#64d22d

Scan History

Scan history not available

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