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Security Scan Report: commerce-api.ri-app.com

Redirected to: https://login.microsoftonline.com/4b5271df-a439-4056-afa3-79f1d0e42dc1/oauth2/authorize?response_type=code&client_id=d72a2d0e-d8ae-4b19-b276-3f4be662720d&resource=d72a2d0e-d8ae-4b19-b276-3f4be662720d&redirect_uri=https%3A%2F%2Fcommerce-api.ri-app.com%2Fauth%2Fcallback&state=Lw%3D%3D&scope=openid&sso_reload=true

Submitted: Mar 17, 2026, 12:31:21 PMCompleted: Mar 17, 2026, 12:32:32 PMpubliccompleted
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Summary

This website contacted 9 IPs in 4 countries across 5 domains to perform 18 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://commerce-api.ri-app.com/auth/login?next=/

Effective URL: https://login.microsoftonline.com/4b5271df-a439-4056-afa3-79f1d0e42dc1/oauth2/authorize?response_type=code&client_id=d72a2d0e-d8ae-4b19-b276-3f4be662720d&resource=d72a2d0e-d8ae-4b19-b276-3f4be662720d&redirect_uri=https%3A%2F%2Fcommerce-api.ri-app.com%2Fauth%2Fcallback&state=Lw%3D%3D&scope=openid&sso_reload=trueRedirected

AI Security Verdict

Moderate Risk

Confidence: 85%

6
Risk Score

Impersonates TechniArt login and harvests credentials; treat as phishing.

Risk Factors
Cross‑origin credential form (email + password)
Brand impersonation of TechniArt
Highly obfuscated JavaScript
Safety Factors
Domain age 8651 days (well‑established)
No malicious Indicators of Compromise detected
HTTPS connection
No payment fields or malicious YARA patterns
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(36%)

Domain Information

You're looking at domain 'commerce-api.ri-app.com' on the commercial generic top-level domain (.com) and includes subdomain 'commerce-api'. The second-level label 'ri-app' is 6 characters long containing 2 vowels alongside 3 consonants; it also includes one hyphen. Splitting it apart reveals two words: ri, app. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://commerce-api.ri-app.com/auth/login?next=/

Page Load Overview

1.46s
Total Load Time
18
HTTP Requests
5
Domains
458 KB
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:131 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical36% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
36%
technology software
30%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.207.210.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
220.190.160.131Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
220.190.160.65Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
2172.67.70.78United States
AS13335Cloudflare, Inc.
223.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
240.126.31.3Dublin, Leinster, Ireland
AS8075Microsoft Corporation
213.107.246.44United States
AS8075Microsoft Corporation
240.126.32.136Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
220.190.160.66Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
189--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F735CD67EA32937838A4175B4B96E02AE3A59038C4CDD64F15CC9C82FFA74D8137647

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Dm8GLG2FAGiWlqzHnoxIyEk77gx2xpTvPoMmCBXE+5YiF8C:K8h9zHnN32RAxC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79378:YS0I5FFP6HU50AFMcAhAB3JckfJREC4gABlFAJ6HBzL40AggCBjiAQGDSXYAhEKCAQhMxUAEB0NaEIqD+sDrMqEGmOQCoA7g

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:0000181818180000
Perceptual Hash:9c3c73319c9999c9
Difference Hash:b40e32b2b2b2cc69
Wavelet Hash:0000181c9fdf0700
Color Hash:#6ccae0

Other Hashes

Crop Resistant:b2b0f8b283b8a6b6,b40e32b2b2b2cc69

Scan History

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