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

Redirected to:
https://login.staging.gronnjobb.no/realms/gronnjobb-customers/protocol...
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Submitted: Jun 1, 2026, 10:23:58 AMCompleted: Jun 1, 2026, 10:25:11 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is login.staging.gronnjobb.no and was registered NaN years ago.

Submitted URL: https://hms-system.staging.gronnjobb.no/auth?authredirect=/routines/3518691220342130969?type=PRIVATE

Effective URL: https://login.staging.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.staging.gronnjobb.no%2Fapi%2Fauth%2Fcallback%2Fkeycloak&state=VRO-xp-m4J_c_ur6YFi-kSb87RXRX16QPjxpbzlbgDY&code_challenge=2EpKXN1ceewzNNHkmELBtxWL_E3GynrxIYGw5hpnq0M&code_challenge_method=S256Redirected

AI Security Verdict

Low Risk

Confidence: 66%

2
Risk Score

Low‑risk login page for Grønn Jobb AS; no malicious indicators detected.

Risk Factors
Domain not listed in Cisco Umbrella top 1 M (unranked)
High JavaScript obfuscation score (critical) without malware match
Safety Factors
Domain age >10 years (well‑established)
Brand name matches domain (Grønn Jobb AS)
No payment fields or hidden password fields
No Indicators of Compromise or IDS alerts
Legitimate OpenID Connect SSO flow
Domain age information unavailable

Details

Page Title

HMS-system | Grønn Jobb

Scan Type

public

Language

🇳🇴

Norwegian

(80% confidence)

Category

phishing scam

(38%)

Domain Information

The domain 'hms-system.staging.gronnjobb.no' uses the Norwegian country-code top-level domain (.no) with subdomain 'hms-system.staging'. The registrable portion 'gronnjobb' spans 9 characters split between two vowels and seven 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

Security scan screenshot of https://hms-system.staging.gronnjobb.no/auth?authredirect=/routines/3518691220342130969?type=PRIVATE

Page Load Overview

2.13s
Total Load Time
40
HTTP Requests
5
Domains
147 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:no
Text Length:215 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam38% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

phishing scam
38%
news media journalism
37%
government public service
32%
adult content
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20142.251.14.97United States
AS15169Google LLC
2066.33.60.194United States
AS16509Amazon.com, Inc.
402--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10133E8364916AD39C7E749E230997F47B85D4012E3D98063E59CD8AC87DB99F232E328

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Whdt21ZJcGsWRTBLpscJXsnR6Uye/v+ks0R1HNQVFwSsiRfd3JywvVyZ6TEqUozS:LIanPBDmf1Mc1tNMts

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53251:XImlkmgRaBMEyEBGXxCAUw1NCQDASURVGh4Q40ApC0NeggZBECBIiFGQdpAiVQpDw8ggyAAkCqAASCwwAtBWDJAAhL6gBCda

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:f8f8bef0908ef8f8
Perceptual Hash:cdc3c23ce1c31ec3
Difference Hash:0402446333340204
Wavelet Hash:f0f0b0f0f090f8f8
Color Hash:#bf4099

Other Hashes

Crop Resistant:0402446333340204

Scan History

Scan history not available

Unable to load historical scan data