Summary
This website contacted 6 IPs in 1 country across 4 domains to perform 22 HTTP transactions. The main domain is login.test.gronnjobb.no and was registered NaN years ago.
Submitted URL: https://hms-system.test.gronnjobb.no/auth?authredirect=%2Froutines%2F3798496604563000435%3Ftype%3DPRIVATE
Effective URL: https://login.test.gronnjobb.no/realms/gronnjobb-customers/protocol/openid-connect/auth?client_id=xpand-basic-frontend&scope=openid%20email%20profile&response_type=code&redirect_uri=https%3A%2F%2Fhms-system.test.gronnjobb.no%2Fapi%2Fauth%2Fcallback%2Fkeycloak&state=eyCSjqBwuxpmnYTEZxrMf2vDXFKeT3VxBhdy6bZLCHQ&code_challenge=AGNlM03uJVr-0ngzNsbdi-CpV3RvSwvGwzVDU1ijb5k&code_challenge_method=S256Redirected
AI Security Verdict
Safe Website
Confidence: 85%
Login page appears legitimate; no evidence of phishing, malware, or scam activity.
Safety Factors
Details
Page Title
Sign in to Grønn Jobb AS
Scan Type
public
Language
English
Category
corporate business
(28%)Domain Information
Domain 'hms-system.test.gronnjobb.no' uses the Norwegian country-code top-level domain (.no), featuring subdomain 'hms-system.test'. The registrable portion 'gronnjobb' spans 9 characters split between two vowels and 7 consonants. Word splitting yields 5 words: gr, on, n, job, b. Median word length comes out to 2 characters. 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 |
|---|---|---|---|
| 7 | 76.76.21.98 | Walnut, California, United States | AS16509Amazon.com, Inc. |
| 3 | 216.239.32.36 | United States | AS15169Google LLC |
| 3 | 66.33.60.67 | United States | AS16509Amazon.com, Inc. |
| 3 | 142.251.13.97 | United States | AS15169Google LLC |
| 3 | 64.239.123.129 | United States | AS16509Amazon.com, Inc. |
| 3 | 216.239.34.36 | United States | AS15169Google LLC |
| 22 | 6 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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