Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is midway-auth.amazon.com and was registered NaN years ago.
Submitted URL: https://pipelines.amazon.dev
Effective URL: https://midway-auth.amazon.com/login?next=%2FSSO%2Fredirect%3Fredirect_uri%3Dhttps%253A%252F%252Fpipelines.amazon.dev%26client_id%3Dhttps%253A%252F%252Fpipelines.amazon.dev%253A443%26scope%3Dopenid%26response_type%3Did_token%26nonce%3D0ab337c1a7e73597b82e695699fbc9a0e5e204904ae5b0ea2e7fffc572390b58%26response_mode%3Dquery%26state%3DeyJwYXRoIjoiLyJ9%26sentry_handler_version%3Dinterceptor-core-1.x&require_digital_identity=falseRedirected
The Cisco Umbrella rank of the primary domain is #352 of the top 1 million websitesTop 1K Site
AI Security Verdict
High Risk
Confidence: 82%
The site is a well‑known domain but exhibits critical IDS alerts and heavily obfuscated JavaScript, indicating likely malware distribution; avoid using it and report as suspicious.
Risk Factors
Details
Page Title
Midway Authentication Portal
Scan Type
public
Language
English
Category
government public service
(46%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'pipelines.amazon.dev' is registered and includes subdomain 'pipelines'. The core label 'amazon' covers 6 characters containing three vowels alongside 3 consonants. Breaking it apart gives 1 word: amazon. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 5 | 52.94.218.63 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 4 | 3.167.227.116 | United States | AS16509Amazon.com, Inc. |
| 9 | 2 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data