Security Scan Report: bio.informatik.uni-rostock.de

Submitted: May 11, 2026, 4:48:40 PMCompleted: May 11, 2026, 4:50:40 PMpubliccompleted
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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 bio.informatik.uni-rostock.de.

Submitted URL: https://bio.informatik.uni-rostock.de

The Cisco Umbrella rank of the primary domain is #198,974 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no malicious activity and lacks credential‑collection forms; low risk despite low ranking.

Risk Factors
Low Cisco Umbrella ranking (rank #198,974) for a domain that does not claim a well‑known brand
Safety Factors
Absence of login, payment, or credential‑collection forms
No external malicious links or scripts
No suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the German country-code top-level domain (.de), 'bio.informatik.uni-rostock.de' is registered and includes subdomain 'bio.informatik'. The second-level label 'uni-rostock' is 11 characters long containing four vowels alongside 6 consonants; it also includes one hyphen. Segmentation suggests two words: uni, rostock. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bio.informatik.uni-rostock.de

Page Load Overview

5.23s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:6 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2139.30.6.12Rostock, Mecklenburg-Vorpommern, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D09002FEA0929019BC2235D92CC212810C14429429458900158964A4840C1158C522C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iMjK/L0U46cz:qzxO96LKD0U43z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:25acdda7f700d17d8f9a10926563b5ee

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:7fffffffffffffff
Perceptual Hash:81010303073fffff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#b0d279

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data