Security Scan Report: bizapp.de

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Submitted: Dec 26, 2025, 9:03:53 AMCompleted: Dec 26, 2025, 9:04:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 23 HTTP transactions. The main domain is bizapp.de and was registered NaN years ago.

Submitted URL: https://bizapp.de/tr/m422568i-2.685747994

AI Security Verdict

High Risk

Confidence: 80%

5
Risk Score

High‑risk phishing page likely harvesting credentials; avoid entering personal data.

Risk Factors
Disguised password field
Hidden password field
Unicode evasion technique
Unranked domain with low reputation
Password field without accompanying username field
Domain age information unavailable

Details

Page Title

Sendungstracking

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(29%)

Domain Information

The domain 'bizapp.de' uses the German country-code top-level domain (.de) without a subdomain. Count 6 characters in 'bizapp' split between two vowels and 4 consonants. Tokenizing the label suggests 2 words: biz, app. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bizapp.de/tr/m422568i-2.685747994

Page Load Overview

1.44s
Total Load Time
10
HTTP Requests
1
Domains
133 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:209 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service29% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10116.202.74.116Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
101--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC727484B1B164744E2B4356628F9A5CB5B82DD16D0B9E29B6E3101D7FC8AFC339332D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+xz/Ml3fVOS4mumXmHmzrmgm8mdwoC9aI6WH1qALfJ:3ymumXmHmzrmgm8mdwoC9aI6WlfJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16536:KIAeiBFjgCSmMOSkniESGAiAAsJWAAkXoF0BRMZ8SCcBQAAmATUQjGFIBTISiiKHsDAYIwkECVCgPzAjxAgJHGuESTkKBBAK

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:3e7e7e7e3c000000
Perceptual Hash:96943c3c96877f90
Difference Hash:f0f4f8e8c4010000
Wavelet Hash:7f7f7e7e7e000000
Color Hash:#2d7e86

Other Hashes

Crop Resistant:f0f4f8e8c4010000

Scan History

Scan history not available

Unable to load historical scan data