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

Redirected to:
https://mitt-selskap.test.gronnjobb.no/api/auth/signin?error=SessionRe...
Submitted: Apr 20, 2026, 8:00:18 AMCompleted: Apr 20, 2026, 8:02:03 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 5 domains to perform 22 HTTP transactions. The main domain is mitt-selskap.test.gronnjobb.no and was registered NaN years ago.

Submitted URL: https://mitt-selskap.test.gronnjobb.no/auth?authredirect=%2Fdocuments%2F6402868353445771435

Effective URL: https://mitt-selskap.test.gronnjobb.no/api/auth/signin?error=SessionRequired&callbackUrl=https%3A%2F%2Fmitt-selskap.test.gronnjobb.no%2Fauth%3Fauthredirect%3D%252Fdocuments%252F6402868353445771435Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Site appears legitimate with low risk; no phishing or malware activity detected.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
High JavaScript obfuscation score (critical) without supporting malicious indicators
Safety Factors
Long‑standing domain registration (>10 years)
No credential or payment fields in the form
No IoC or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(43%)

Domain Information

You're looking at domain 'mitt-selskap.test.gronnjobb.no' on the Norwegian country-code top-level domain (.no), featuring subdomain 'mitt-selskap.test'. The core label 'gronnjobb' covers 9 characters split between 2 vowels and seven consonants. Breaking it apart gives five words: gr, on, n, job, b. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mitt-selskap.test.gronnjobb.no/auth?authredirect=%2Fdocuments%2F6402868353445771435

Page Load Overview

1.85s
Total Load Time
22
HTTP Requests
5
Domains
157 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:65 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism43% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
43%
healthcare medical
41%
government public service
37%
real estate property
34%
finance banking
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
466.33.60.129United States
AS16509Amazon.com, Inc.
364.239.123.129United States
AS16509Amazon.com, Inc.
3142.251.110.97United States
AS15169Google LLC
376.76.21.22Walnut, California, United States
AS16509Amazon.com, Inc.
3216.150.1.193United States
AS16509Amazon.com, Inc.
364.239.109.193United States
AS16509Amazon.com, Inc.
3216.239.32.36United States
AS15169Google LLC
227--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8C172F5F050627B2213853837E5DF5C72496600CA026FADFF67B1F088CA9D709B294A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nmO4nT/AOxpyW0K35keev7hxiDbIXNHAAGfBVhWIZIfVIs1sw38z:mb5pyxKJe2nm1YHWkQW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6103:EQKWM4AgQmjcCArFYIkABoIAIAEgKCAIgKqgAKATBSIQiCIAIJAwNNFm+tEsBAABoBKkwBAoQDKEDGIAWIhQuDMcCmECAAAE

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:ffe7ffa5ffffffff
Perceptual Hash:e626999966669999
Difference Hash:0008304c28100000
Wavelet Hash:f0f0c0c0d8c0f0f0
Color Hash:#bfb940

Other Hashes

Crop Resistant:0008304c28100000

Scan History

Scan history not available

Unable to load historical scan data