Summary
This website contacted 2 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is login-e-gor-stg.portima.be and was registered NaN years ago.
Submitted URL: https://acc-app.e-gor.be
Effective URL: https://login-e-gor-stg.portima.be/Account/Login?ReturnUrl=%2Fconnect%2Fauthorize%2Fcallback%3Fclient_id%3DeGor%26redirect_uri%3Dhttps%253A%252F%252Fapp-e-gor-stg.portima.be%26response_type%3Dcode%2520id_token%26scope%3Dopenid%2520admin_client_id_api%2520eGorPermissionAPI_scope%2520%2520offline_access%26state%3DOpenIdConnect.AuthenticationProperties%253DbMiYf4N0x07bI6MVULdG391yyf2CUEzWAods1xTFXfD9LC-znsZPrhXqlpEvW9MmvHBltYXuGiSzP-YbxLfbrNHGlOIPhTDMKVIIJWMEnEkpp3LF0KVpa1QCXAkRK2UvxKP-SsanPIQwgEqi9gOskDVVUMTPqoBgt-RJD0V6jNNqIM1ilOkAZuGYmrtofc68lZ2fgcVgbPWyF0fRYhPu0w%26response_mode%3Dform_post%26nonce%3D639116284545212135.NDE1ZDNiNjAtYTI3OC00NDA2LWI1MDUtNmFhNDNlMDUyYWJjMmNjNTk1YzYtZTFkNC00ZTFhLThhY2QtZTM4OTgxZTk5YTdl%26x-client-SKU%3DID_NET472%26x-client-ver%3D8.3.1.0Redirected
AI Security Verdict
Low Risk
Confidence: 78%
The site appears legitimate with low risk; no malicious activity detected despite being unranked.
Risk Factors
Safety Factors
Details
Page Title
e-GOR
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'acc-app.e-gor.be' uses the Belgian country-code top-level domain (.be); it also runs on subdomain 'acc-app'. Its registrable label 'e-gor' stretches across 5 characters holding 2 vowels versus two consonants, plus 1 hyphen. Segmentation suggests 2 words: e, gor. Expect 2 characters per word on average. 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 |
|---|---|---|---|
| 13 | 20.101.155.243 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 13 | 192.178.183.94 | United States | |
| 26 | 2 | - | - |
Detected Technologies4
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