Security Scan Report: mitt-selskap.test.gronnjobb.no

Redirected to: 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%2Fmitt-selskap.test.gronnjobb.no%2Fapi%2Fauth%2Fcallback%2Fkeycloak&state=yEp9d5y75CAOEtu0GMOkQS5YIqkeEDrfHrVkBcSQ4TE&code_challenge=JtWX-rXMtfPThv2DpLvqwvs4t0n5xXbM4kuVuNZZUQM&code_challenge_method=S256

Submitted: Mar 11, 2026, 3:05:06 PMCompleted: Mar 11, 2026, 3:06:18 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 6 domains to perform 43 HTTP transactions. The main domain is login.test.gronnjobb.no and was registered NaN years ago.

Submitted URL: https://mitt-selskap.test.gronnjobb.no/auth?authredirect=%2Ftasks%2F2216260780808319808

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%2Fmitt-selskap.test.gronnjobb.no%2Fapi%2Fauth%2Fcallback%2Fkeycloak&state=yEp9d5y75CAOEtu0GMOkQS5YIqkeEDrfHrVkBcSQ4TE&code_challenge=JtWX-rXMtfPThv2DpLvqwvs4t0n5xXbM4kuVuNZZUQM&code_challenge_method=S256Redirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate login page for Grønn Jobb AS on an established domain.

Safety Factors
Established domain with long registration history
Cross‑origin form targets a subdomain of the same organization (standard authentication flow)
No noindex meta tag, indicating normal site indexing
No suspicious redirects or URL manipulation
Domain age information unavailable

Details

Page Title

Sign in to Grønn Jobb AS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(28%)

Domain Information

Within the Norwegian country-code top-level domain (.no), 'mitt-selskap.test.gronnjobb.no' is registered with subdomain 'mitt-selskap.test'. Count 9 characters in 'gronnjobb' containing 2 vowels alongside seven consonants. Tokenizing the label suggests five words: gr, on, n, job, b. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mitt-selskap.test.gronnjobb.no/auth?authredirect=%2Ftasks%2F2216260780808319808

Page Load Overview

0.86s
Total Load Time
43
HTTP Requests
6
Domains
1.0 MB
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:263 chars
Detector Agreement:50%

Website Classification

Primary Category

corporate business28% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
28%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
866.33.60.66United States
AS16509Amazon.com, Inc.
576.76.21.142Walnut, California, United States
AS16509Amazon.com, Inc.
5142.250.187.232United States
AS15169Google LLC
5216.239.32.36United States
AS15169Google LLC
5142.251.140.170United States
AS15169Google LLC
564.239.109.1United States
AS16509Amazon.com, Inc.
5216.239.34.36United States
AS15169Google LLC
520.251.236.208Oslo, Oslo County, Norway
AS8075Microsoft Corporation
438--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117F1C51104F00D7A0263C6D5AEE4750B3E90E6238606AC4177BC47B91FF7EC6E88B26E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:0xn8nISj3E3Q3DptKmhyPhVZUhOwZVY/Jg9nfqqw1VuVKw35/:Yn8IW0Azptxyps3Y/JqfiHw35/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8035:XWKsgjlmEYADAAL5QCggGqSAUgdhMEBIgKyJAEgJBhwuMxFgEQKQIETOAEJQBLZSYJAABYBgEpoUCFRyiAYgBUCA4oFZRDTM

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:f8f8fef0909ef8f8
Perceptual Hash:cdc3c23c69c31ec3
Difference Hash:0402640333340224
Wavelet Hash:f0f0f0f0f090f8f8
Color Hash:#6cb1e0

Other Hashes

Crop Resistant:0402640333340224

Scan History

Scan history not available

Unable to load historical scan data