Security Scan Report: invoice.pond.squeeze.one

Redirected to: https://login.microsoftonline.com/5bbc4d35-c965-44c6-ac10-47bb61fade51/oauth2/v2.0/authorize?client_id=3648da4c-6a6c-4df5-9c00-db572c27fe4f&redirect_uri=https%3A%2F%2Finvoice.pond.squeeze.one%2Fdocuments%2Fsrv%2FGenericRedirectReceiver&response_type=code&scope=openid%20profile&state=eyJwcmkiOiIxMDA2MTEiLCJvcmlnaW5hbF91cmkiOiIvZG9jdW1lbnRzL2F1dG9sb2dpbi9sb2dpbj9wcmlcdTAwM2QxMDA2MTFcdTAwMjZsYW5nXHUwMDNkZGUifQ%3D%3D&sso_reload=true

Submitted: Mar 22, 2026, 6:32:34 AMCompleted: Mar 22, 2026, 6:33:51 AMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 7 domains to perform 30 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://invoice.pond.squeeze.one/documents/autologin/login;cnvid=5gLQXR8o9cmyoPga?pri=100611&lang=de

Effective URL: https://login.microsoftonline.com/5bbc4d35-c965-44c6-ac10-47bb61fade51/oauth2/v2.0/authorize?client_id=3648da4c-6a6c-4df5-9c00-db572c27fe4f&redirect_uri=https%3A%2F%2Finvoice.pond.squeeze.one%2Fdocuments%2Fsrv%2FGenericRedirectReceiver&response_type=code&scope=openid%20profile&state=eyJwcmkiOiIxMDA2MTEiLCJvcmlnaW5hbF91cmkiOiIvZG9jdW1lbnRzL2F1dG9sb2dpbi9sb2dpbj9wcmlcdTAwM2QxMDA2MTFcdTAwMjZsYW5nXHUwMDNkZGUifQ%3D%3D&sso_reload=trueRedirected

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate OAuth login page; no malicious indicators detected.

Safety Factors
Cross‑origin credential submission goes to legitimate Microsoft login endpoint
Old, well‑established domain
Standard OAuth flow with client_id and redirect_uri
No hidden password fields or suspicious form behavior
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'invoice.pond.squeeze.one' uses the .one top-level domain and includes subdomain 'invoice.pond'. The core label 'squeeze' covers 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals 1 word: squeeze. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://invoice.pond.squeeze.one/documents/autologin/login;cnvid=5gLQXR8o9cmyoPga?pri=100611&lang=de

Page Load Overview

0.78s
Total Load Time
30
HTTP Requests
7
Domains
945 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:109 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
320.190.160.66Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
323.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
313.107.246.44United States
AS8075Microsoft Corporation
323.207.210.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
320.190.160.5Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
320.190.159.130Dublin, Leinster, Ireland
AS8075Microsoft Corporation
340.126.32.136Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
320.190.160.65Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
345.12.50.48Germany
AS29423gridscale GmbH
340.126.32.72Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
3010--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0835BEABFA22D37828684B5B1B56E026A3759038D0CDD64F19CCC842FF774E9127617

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FC8GLG22YCWQ9Do6IyEk77gx2xpTvPoMmCfuEjbVi5C:o8WWD632RAJC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:81517:CI2msCBOlxNUiIGiEwkQMCVBETnGEOMEYoJAIkaFhBiRdAuOMAAyERSEECJSCSQQt4hgBhIEExFaXQdSBCTlihCDSScSAeFa

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:0007de1818180000
Perceptual Hash:99dc2626c87dccd8
Difference Hash:361cb23231321ab2
Wavelet Hash:9f8fff1d1818001f
Color Hash:#79d29b

Scan History

Scan history not available

Unable to load historical scan data