Security Scan Report: it-support.feedgy.solar

Redirected to: https://login.microsoftonline.com/aecac15f-fd83-4378-b27c-e34c5c270def/oauth2/v2.0/authorize?state=04f88f0e215181da88f496e7414e1e21&scope=openid%20profile%20User.Read&response_type=code&approval_prompt=auto&redirect_uri=https%3A%2F%2Fit-support.feedgy.solar%2Fmarketplace%2Foauthsso%2Ffront%2Fauthorization.callback.php&client_id=673218bc-ee7e-4182-854d-a60c40e384de&sso_reload=true

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Submitted: Dec 12, 2025, 8:39:29 PMCompleted: Dec 12, 2025, 8:40:11 PMpubliccompleted
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Summary

This website contacted 33 IPs in 5 countries across 6 domains to perform 17 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://it-support.feedgy.solar/marketplace/oauthsso/front/login.php?plugin_oauthsso_applications_id=1&redirect=

Effective URL: https://login.microsoftonline.com/aecac15f-fd83-4378-b27c-e34c5c270def/oauth2/v2.0/authorize?state=04f88f0e215181da88f496e7414e1e21&scope=openid%20profile%20User.Read&response_type=code&approval_prompt=auto&redirect_uri=https%3A%2F%2Fit-support.feedgy.solar%2Fmarketplace%2Foauthsso%2Ffront%2Fauthorization.callback.php&client_id=673218bc-ee7e-4182-854d-a60c40e384de&sso_reload=trueRedirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Phishing page impersonating Microsoft login on an untrusted domain

Risk Factors
Credential‑harvesting login form on a non‑Microsoft domain
Brand impersonation of Microsoft
Unranked domain with no reputable reputation
Suspicious redirect to Microsoft login endpoint
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the .solar top-level domain, 'it-support.feedgy.solar' is registered, featuring subdomain 'it-support'. The second-level label 'feedgy' is 6 characters long containing 2 vowels alongside four consonants. Splitting it apart reveals 2 words: feed, gy. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://it-support.feedgy.solar/marketplace/oauthsso/front/login.php?plugin_oauthsso_applications_id=1&redirect=

Page Load Overview

2.34s
Total Load Time
17
HTTP Requests
6
Domains
505 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
023.207.210.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
013.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0141.94.173.236France
AS16276OVH SAS
040.126.31.129Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
020.190.159.64Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
040.126.31.67Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
02.21.239.142Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
040.126.32.68Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
040.126.31.71Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
02a02:26f0:480:3f::215:414cFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1733--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T185735CD97EB7293B834A41B9B5756E026A3A5A03894CDE64F04CCD843FEF70D8127A53

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:F3vHvI8GLGGDvQv7FB8toCzTEyqU6MVnvnaloMPb1EzD7iHFC:+8PFKtWyS2WFC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77176:QMBDDhETEajzVRAWGSGoEOAXZpgM5CwA4QBTQAFxEX4xANQ0BFeJL4SpWqQAQqGAgQhIhIAtBIABh5gCNgjQZ+swhBZCaCWQ

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:0010393b37373737
Perceptual Hash:8459717646d9596e
Difference Hash:88e4d2d3e5e6e6e6
Wavelet Hash:00003b3b373f373f
Color Hash:#bf40ac

Other Hashes

Crop Resistant:88e4d2d3e5e6e6e6

Scan History

Scan history not available

Unable to load historical scan data