Security Scan Report: saiv2-api-prod.azurewebsites.net

Redirected to:
https://login.microsoftonline.com/29972965-c259-4959-a2a0-7175549581e1...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 3 countries across 6 domains to perform 17 HTTP transactions. The main domain is azurewebsites.net and was registered 14 years ago.

Submitted URL: https://saiv2-api-prod.azurewebsites.net

Effective URL:
https://login.microsoftonline.com/29972965-c259-4959-a2a0-7175549581e1...
Redirected

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

An unknown Azure web app redirects into the genuine Microsoft Entra ID sign-in (login.microsoftonline.com). No phishing, malware or exfiltration signals; risk stems only from the unidentified initiating app on shared hosting.

Risk Factors (2)
The entry host is an unranked subdomain of the shared hosting platform azurewebsites.net, whose creation date is not attributable to this app and could be very recent.
The initiating Azure web app is unknown and only identified by an opaque client_id, so the legitimacy of the application requesting the Microsoft sign-in cannot be confirmed from this scan.
Safety Factors (4)
Authentication terminates on the authentic Microsoft domain login.microsoftonline.com, not on the scanned host.
No brand impersonation: the brand check passed and the page displays Microsoft's own sign-in on Microsoft's own infrastructure.
No credential exfiltration; cross-origin traffic is limited to Microsoft telemetry (browser.events.data.microsoft.com).
No Indicators of Compromise, YARA hits, or malicious kit signatures.
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain 'saiv2-api-prod.azurewebsites.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'saiv2-api-prod'. The core label 'azurewebsites' covers 13 characters split between 6 vowels and seven consonants. Tokenizing the label suggests two words: azure, websites. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://saiv2-api-prod.azurewebsites.net

Page Load Overview

2.02s
Total Load Time
476 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:109 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
79%
social media network
28%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
540.126.31.3Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
123.101.171.94Azure · CLOUDChicago, Illinois, United States
AS8075Microsoft Corporation
140.126.32.133Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
140.126.31.129Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
120.184.175.11Azure · CLOUDSan Jose, California, United States
AS8075Microsoft Corporation
140.126.32.136Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.159.131Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
113.107.246.60Azure · CLOUDUnited States
AS8075Microsoft Corporation
140.126.31.67Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
1713--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154834AEA7EA7293B874A51B5B5B67E02AF365803880CCD64F15CCC842FFA64D8127617

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lg8GLG2Lqrsqq6W8iERdTIZ9Tjuokmap5vPoMLufu0fIioWC:S8MqIqRrtd2a/AIWC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83003:BQAyIAEYEOgqIHSJYTFGJOESSoFIBACEvwhAxEAowmDEKQChGggiF4KUK/1UYOA/QwFDFlQB1wkSxkACAGGQVGqNEMFiTGhK

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:0010393b373f3737
Perceptual Hash:845971764699d96e
Difference Hash:88e4d2d3e5eee6e6
Wavelet Hash:00003b3b373f373f
Color Hash:#1f2f93

Other Hashes

Crop Resistant:88e4d2d3e5eee6e6

Scan History

Scan history not available

Unable to load historical scan data