Security Scan Report: auth.bankosoft.hu

Redirected to:
https://auth.bankosoft.hu/
Submitted: May 12, 2026, 7:13:19 AMCompleted: May 12, 2026, 7:15:23 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is auth.bankosoft.hu.

Submitted URL: http://auth.bankosoft.hu/

Effective URL: https://auth.bankosoft.hu/Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

New unranked domain with a login form impersonating a brand; high risk of credential phishing.

Risk Factors
New/unknown domain age
Unranked domain (not in Cisco Umbrella top 1M)
Brand name used on unranked domain
Credential login form on a fresh domain
Domain age information unavailable

Details

Page Title

Bejelentkezés - Fájlkezelő

Scan Type

public

Language

🇭🇺

HU

(80% confidence)

Category

government public service

(73%)

Domain Information

You're looking at domain 'auth.bankosoft.hu' on the Hungarian country-code top-level domain (.hu); it also runs on subdomain 'auth'. The registrable portion 'bankosoft' spans 9 characters with 3 vowels and six consonants. Splitting it apart reveals 3 words: bank, o, soft. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://auth.bankosoft.hu/

Page Load Overview

0.38s
Total Load Time
3
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇭🇺Hungarian
Code: hu
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hu
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:hu
Text Length:120 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service73% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
73%
blog personal website
72%
technology software
69%
news media journalism
63%
healthcare medical
63%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3185.80.49.249Hungary
AS62214Rackforest Zrt.
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16081FD9755B30842BA43E4A82BE7475A3B58C513C24FCDB9BFCC27C8CF4A694859278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ileP3v9n8XH081CkR8uWVFCY0FDFOZF38KBObVqDmTFgPRFUZEerqaaNeh5Be1x:X3UQoWVF50FD+F38/oMFgPRFUZZ7h5YX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4088:CgAgDAwYACAIClCABBxAQPqAAhIwJQBEAAHAACkAaFAAQAACACACQBgAhEKAEADBCBAgSMAABhIACAgYMAAIAACgAAkYgAC2

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:c080181818180000
Perceptual Hash:dd9966269999cc8c
Difference Hash:0000323232320000
Wavelet Hash:f8f8f8f8f8d8c080
Color Hash:#ac8e53

Scan History

Scan history not available

Unable to load historical scan data