Security Scan Report: wwwcip.informatik.uni-erlangen.de

Submitted: Jan 27, 2026, 1:23:05 AMCompleted: Jan 27, 2026, 1:24:23 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is wwwcip.informatik.uni-erlangen.de.

Submitted URL: https://wwwcip.informatik.uni-erlangen.de

The Cisco Umbrella rank of the primary domain is #87,562 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate university page with no suspicious activity.

Safety Factors
University subdomain (informik.uni-erlangen.de)
No credential or payment collection fields
No external links or redirects
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

CIP-Pool Informatik

Scan Type

public

Language

🇺🇸

English

(47% confidence)

Category

technology software

(27%)

Domain Information

You're looking at domain 'wwwcip.informatik.uni-erlangen.de' on the German country-code top-level domain (.de), featuring subdomain 'wwwcip.informatik'. The registrable portion 'uni-erlangen' spans 12 characters containing 5 vowels alongside 6 consonants; bonus characters include 1 hyphen. Splitting it apart reveals 2 words: uni, erlangen. Average segment length settles at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wwwcip.informatik.uni-erlangen.de

Page Load Overview

0.52s
Total Load Time
12
HTTP Requests
1
Domains
247 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:47%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:47%
Script Type:Latin
Text Length:1,972 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software27% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12131.188.30.44Erlangen, Bavaria, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
121--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4F1B621D0CD185B070B13B6B8B17BC8E7D7CA73E6212CE2B5BB4525A6C2F1DAD1506B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8m/rWebOcs0j/elp6EhxlCroNb0DsLDC2t5SrORJ9:fKebOcs0mnhxl9NbesPNSORJ9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7478:BQAJbGwKMREAWAAsgSUGQLoAAKYMgMIggIACRQcEIZRisYVQkweUUACSshAKgDiOAIgB5GHgQkqAHkiMUGcqATAAUAJLiSYw

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:0000ffff7fffffff
Perceptual Hash:9e407e67427e4687
Difference Hash:2db2f2bae26a6868
Wavelet Hash:00001f0f3f1f8fbf
Color Hash:#87aec5

Other Hashes

Crop Resistant:2db2f2bae26a6868

Scan History

Scan history not available

Unable to load historical scan data