Security Scan Report: openlarp.corp.amazon.com

Redirected to:
https://midway-auth.amazon.com/login?next=%2FSSO%2Fredirect%3Fclient_i...
Submitted: Apr 17, 2026, 10:00:41 PMCompleted: Apr 17, 2026, 10:01:54 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 7 HTTP transactions. The main domain is midway-auth.amazon.com and was registered NaN years ago.

Submitted URL: https://openlarp.corp.amazon.com

Effective URL: https://midway-auth.amazon.com/login?next=%2FSSO%2Fredirect%3Fclient_id%3Dhttps%253A%252F%252Fidp-integ.federate.amazon.com%26redirect_uri%3Dhttps%253A%252F%252Fidp-integ.federate.amazon.com%252Fapi%252Fv1%252Fintermediate%26response_type%3Did_token%26scope%3Dopenid%26nonce%3DI260417220043834DUB2ZONEQP5GCF8%26state%3Deu-west-1_I260417220043834DUB2ZONEQP5GCF8_4a3bcb3a-6c39-4adc-a6a5-10452089983e%26federate_client_id%3Dhttps%253A%252F%252Fdiagonalley.corp.amazon.com%253A443&require_digital_identity=falseRedirected

The Cisco Umbrella rank of the primary domain is #105 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with strong reputation signals and no malicious activity detected.

Safety Factors
Well‑established corporate subdomain of amazon.com
High reputation ranking (top 1 K)
No credential‑stealing forms
No network IDS alerts
No malicious IoC matches
Domain age information unavailable

Details

Page Title

Midway Authentication Portal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(46%)

Domain Information

The domain 'openlarp.corp.amazon.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'openlarp.corp'. Its registrable label 'amazon' stretches across 6 characters split between three vowels and three consonants. Splitting it apart reveals 1 word: amazon. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://openlarp.corp.amazon.com

Page Load Overview

2.93s
Total Load Time
10
HTTP Requests
4
Domains
360 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:1,304 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service46% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
46%
documentation technical
38%
corporate business
38%
technology software
38%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
454.228.23.37Ireland
352.94.220.70Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
352.18.70.16Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
103--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18BA1F8A2E0F10C3701228754A5AC99552DAF8137974E4548B3BC0B8CBFB7E82565F0AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Td4YEHSqW048DuLW8BNkjbRpAW83ZAkXXHHU:W9HSqk8Twkj910VU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4898:EgAkEAAAMoqIEIJSAMAAJNAOKEfUAAIACJFBABgcgAgOAGgAUAFAEKQAETgBAPlARQKAAQpBAiANIECAAEIVACGEoQSAAUGh

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:e7e7e7e7e7ffffff
Perceptual Hash:b333999989333333
Difference Hash:0c0c0c4d08000000
Wavelet Hash:2424e700273f3f3f
Color Hash:#c5be87

Other Hashes

Crop Resistant:0c0c0c4d08000000

Scan History

Scan history not available

Unable to load historical scan data