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Security Scan Report: hms-system.test.gronnjobb.no

Submitted: Feb 18, 2026, 8:52:56 AMCompleted: Feb 18, 2026, 8:54:28 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is hms-system.test.gronnjobb.no and was registered NaN years ago.

Submitted URL: https://hms-system.test.gronnjobb.no/auth?authredirect=%2Froutines%2F7038741392223090011%3Ftype%3DPRIVATE

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (registered 2013)
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware detected
No brand impersonation or phishing cues
Domain age information unavailable

Details

Page Title

hms-system.test.gronnjobb.no

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

Domain 'hms-system.test.gronnjobb.no' uses the Norwegian country-code top-level domain (.no) with subdomain 'hms-system.test'. The registrable portion 'gronnjobb' spans 9 characters split between 2 vowels and 7 consonants. Tokenizing the label suggests 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://hms-system.test.gronnjobb.no/auth?authredirect=%2Froutines%2F7038741392223090011%3Ftype%3DPRIVATE

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:780 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
48%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
166.33.60.66United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T174048F77329A063986558498E45B830D9F20B143F506C9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JfQho9PKBb9Js3q9Jzbs6tlg1ySBKwdQWgceIsze2bMy8Old/:+hoC9JSqzzbs6okSj3gcrsK2eAp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187386:wKKokCSASoBEiZiMIWzEHicxjIMRwuASABIEBCAASkSAAqwWKDMBjE9DBAkGhbCWK6ixBVjIpbAEeS1KBJCCmQJxECPYiD1K

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:2f0f0707033f3333
Color Hash:#6c89e0

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data