Security Scan Report: helse-norge.vercel.app

Submitted: Sep 19, 2026, 12:45:31 AMCompleted: Sep 19, 2026, 12:46:12 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake BankID/ID-porten login page on a free Vercel subdomain harvesting Norwegian users' phone numbers — clear brand impersonation phishing, not the official identity service.

Risk Factors (5)
Impersonation of BankID / ID-porten branding on a non-official domain
Credential-collection form (telephone number harvesting) on brand-impersonating page
Hosted on a free, anonymous, actor-abused cloud hosting platform subdomain
IDS phishing heuristic triggered during capture
Domain is unranked and has no established reputation attached to this subdomain
Domain age information unavailable

Details

Page Title

BankID

Scan Type

public

Domain Name Analysis

The domain name 'helse-norge.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'helse-norge'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and four consonants. Breaking it apart gives two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://helse-norge.vercel.app/page1.5.html

Page Load Overview

0.24s
Total Load Time
12 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:nb
Text Length:103 chars
Detector Agreement:100%
Language mismatch: Declared as nb but detected as no

Website Classification

Primary Category

finance banking71% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
71%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E623D9F6E654B2246E338F3D9B9C7D79522BF03388101ADCB34E150693C3ED606A578A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:JDExmza6TpMttGtISPBuHqbJpntGqC4EP+ZamTn9+xM+SS7wpBS3uEiq1I9b33Ug:5ExUpMySYDGq7aGS7wpHb3bPJ7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47380:MBCmmCIgQGJiEuckkvV5GkjImDxBMQkMAGjEUoSAEBAJmUbpK4AhOgDAKDoCA9KYliCACDkFEPAEzDIFSIzFxDXOSDzqcnSA

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:ffe7e7e7e7e7ffff
Perceptual Hash:b333cc2699996666
Difference Hash:000c0c0c0c0c0000
Wavelet Hash:38202020e7e7e7ff
Color Hash:#863a2d

Other Hashes

Crop Resistant:000c0c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data