Security Scan Report: fhffm.bsz-bw.de

Redirected to: https://fhffm.bsz-bw.de/home

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Submitted: Mar 1, 2026, 9:51:38 AMCompleted: Mar 1, 2026, 9:52:52 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is fhffm.bsz-bw.de.

Submitted URL: https://fhffm.bsz-bw.de

Effective URL: https://fhffm.bsz-bw.de/homeRedirected

The Cisco Umbrella rank of the primary domain is #117,471 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate academic publication server with no security concerns.

Safety Factors
HTTPS connection
Academic institution affiliation
No credential or payment collection forms
No suspicious redirects or cross‑origin credential submissions
Domain age information unavailable

Details

Page Title

OPUS 4 | Wissenschaftlicher Publikationsserver der Frankfurt University of Applied Sciences (WIPS)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'fhffm.bsz-bw.de' uses the German country-code top-level domain (.de), featuring subdomain 'fhffm'. Its registrable label 'bsz-bw' stretches across 6 characters containing 0 vowels alongside 5 consonants, notching one hyphen. It segments into four words: b, sz, b, w. Average segment length settles at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fhffm.bsz-bw.de

Page Load Overview

2.13s
Total Load Time
30
HTTP Requests
2
Domains
94 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:1,191 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15193.197.31.84Tübingen, Baden-Wurttemberg, Germany
AS553Universitaet Stuttgart
15193.197.31.186Tübingen, Baden-Wurttemberg, Germany
AS553Universitaet Stuttgart
302--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1653284025CF68A7711225492FEF8BE19EDE2A20BC3056D04B6DC066D9FE6FC6680795C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PizHzAzEHzcHzuHzCzhzAz9zEbYzFzZwztzMXzAzizORmVDDuomwLa1bh54xSndp:PizHzAzEHzcHzuHzCzhzAz9zEbYzFzZa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11224:CAQYNkoAGchAEpkJSoCk9JFGIGggREEAREG5APKIwrKlHYgdA8oAI2CpgAAEEDQgYH1CcXoDmQELAMSUBCCQgWQUA4UBCaMj

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:df00cfcff7ffffff
Perceptual Hash:b4384ec6cc9999e5
Difference Hash:b2a41a1c460a3212
Wavelet Hash:9a008282c2fe8efe
Color Hash:#441f93

Other Hashes

Crop Resistant:b2a41a1c460a3212

Scan History

Scan history not available

Unable to load historical scan data