Security Scan Report: gemhubv2-stg.dsa-noprod.myoddcloud.com

Redirected to:
https://dsa-noprod.auth.eu-west-1.amazoncognito.com/login?client_id=3j...
Submitted: Sep 13, 2026, 11:10:42 PMCompleted: Sep 13, 2026, 11:11:03 PMpubliccompleted

This website contacted 7 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is dsa-noprod.auth.eu-west-1.amazoncognito.com and was registered 8 years ago.

Submitted URL: https://gemhubv2-stg.dsa-noprod.myoddcloud.com

Effective URL:

https://dsa-noprod.auth.eu-west-1.amazoncognito.com/login?client_id=3j...
Redirected

The Cisco Umbrella rank of the primary domain is #849,755 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Genuine AWS Cognito Hosted UI sign-in page reached via a standard OAuth2 redirect from the app; no phishing, impersonation or malware signals.

Safety Factors (4)
Login form is served by AWS Cognito, a first-party identity provider the surrounding app is explicitly delegating to
No credential exfiltration detected; form action is same-origin with the hosting Cognito page
No brand impersonation — the page does not present itself as another organisation
No malware, phishing kit, IoC or IDS evidence
Domain age information unavailable

Details

Page Title

Signin

Scan Type

public

Domain Name Analysis

The domain 'gemhubv2-stg.dsa-noprod.myoddcloud.com' uses the commercial generic top-level domain (.com) with subdomain 'gemhubv2-stg.dsa-noprod'. The core label 'myoddcloud' covers 10 characters containing three vowels alongside 7 consonants. Splitting it apart reveals 3 words: my, odd, cloud. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gemhubv2-stg.dsa-noprod.myoddcloud.com

Page Load Overview

1.08s
Total Load Time
398 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:166 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism55% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news media journalism
55%
healthcare medical
55%
adult content
54%
finance banking
52%
government public service
52%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13.248.58.150Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
152.211.9.172Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
113.33.50.172Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
113.33.50.192Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
154.220.102.218Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
113.33.50.14Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
113.33.50.187Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
77--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BDF05CAFCCCC9B24214329C2BEE2322ECCF1A55F0180B52579CF0435EED23A45D42553

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIYZL1EnD82JRFaHErmTe25L1EnD82JRFaswBITe2nqN0Hvj82JRFaQaxRs8f:hRn2D8kSp2D8kSHyHb8kSQ4m86NVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:9d03cacbc2db5ed6c001470c71d5ce20

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:1818180000000000
Perceptual Hash:9999996666666666
Difference Hash:b2b2b20c00000000
Wavelet Hash:f8f8f8e000000000
Color Hash:#87a4c5

Other Hashes

Crop Resistant:b2b2b20c00000000

Scan History

Scan history not available

Unable to load historical scan data