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Security Scan Report: angiogenes.uni-frankfurt.de

Submitted: Jun 14, 2026, 11:07:38 PMCompleted: Jun 14, 2026, 11:09:20 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 angiogenes.uni-frankfurt.de.

Submitted URL: https://angiogenes.uni-frankfurt.de

The Cisco Umbrella rank of the primary domain is #119,842 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

502 Bad Gateway

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

technology software

(66%)

Domain Information

Within the German country-code top-level domain (.de), 'angiogenes.uni-frankfurt.de' is registered; it also runs on subdomain 'angiogenes'. The second-level label 'uni-frankfurt' is 13 characters long containing 4 vowels alongside 8 consonants, plus 1 hyphen. Tokenizing the label suggests two words: uni, frankfurt. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://angiogenes.uni-frankfurt.de

Page Load Overview

0.10s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:86 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
55%
cryptocurrency blockchain
52%
phishing scam
45%
news media journalism
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2141.2.194.211Frankfurt am Main, Hesse, Germany
AS20633Johann Wolfgang Goethe-Universitat Frankfurt am Main
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T113C0803B41D11814B4F7779D44823B901E70980543179C4135455D1CCF0C65CD54F3C3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxAvNXFnEznmS13J5AEtvxL//4tznmS1pH/P+gXsT9/t8gL0QfXUhH04z:qzxAY1AEdxsLzuSs35Xo04z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:1275e9d98de81203243cc4dc47ad5f6c

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#87c5b8

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

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