Security Scan Report: gitlab.vacuumschmelze.com

Redirected to:
https://gitlab.vacuumschmelze.com/users/sign_in
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Submitted: Jun 9, 2026, 1:26:59 AMCompleted: Jun 9, 2026, 1:28:08 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is gitlab.vacuumschmelze.com and was registered NaN years ago.

Submitted URL: https://gitlab.vacuumschmelze.com

Effective URL: https://gitlab.vacuumschmelze.com/users/sign_inRedirected

The Cisco Umbrella rank of the primary domain is #237,180 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

The site is a legitimate self‑hosted GitLab login page with no malicious indicators.

Risk Factors
Low Cisco Umbrella ranking (#237,180) for a well‑known brand
Critical JavaScript obfuscation score (though not indicative of malware)
Medium Suricata IDS alert for suspicious User-Agent
Safety Factors
Old, well‑established domain (registered 1999)
Brand name appears in subdomain, typical for self‑hosted GitLab
No external links or cross‑origin credential submissions
No payment fields or malicious scripts detected
Domain age information unavailable

Details

Page Title

Sign in · GitLab

Scan Type

public

Language

🇺🇸

English

(22% confidence)

Category

forum community discussion

(95%)

Domain Information

The domain 'gitlab.vacuumschmelze.com' uses the commercial generic top-level domain (.com) with subdomain 'gitlab'. The registrable portion 'vacuumschmelze' spans 14 characters with five vowels and 9 consonants. Tokenizing the label suggests three words: vacuum, schm, elze. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gitlab.vacuumschmelze.com

Page Load Overview

2.36s
Total Load Time
30
HTTP Requests
1
Domains
834 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:22%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:22%
Script Type:Latin
HTML Lang Attribute:en
Text Length:357 chars
Detector Agreement:75%

Website Classification

Primary Category

forum community discussion95% confidence
Type: webapp
Method: ml+structural

All Detected Categories

forum community discussion
95%
technology software
69%

Detected Features

Login Form
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3057.129.98.186Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
301--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCD2F812A0584C3E02F365E578C7A70116A2E20AE64195F1EFFECB1C2FEEF50645F56A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:V9lSAwNMcf//tpdc1UN60vHHi4beZeheCeieHeeedefev:VGNMcfntpdc1t0vHneZeheCeieHeeedx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28516:DAgBEB5AEIqaRAXo7DAhIOhDIBUAJhIASIiIQGDADoSoWwSgBCMSBCCGBRIDVdACAOeCFQYkoQgxAiA4gJCk84lC0NBhEFBS

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:ffe7e7e7e7ffffcf
Perceptual Hash:b32799cc66669989
Difference Hash:080c1c4d0c08001a
Wavelet Hash:24242020e7efff00
Color Hash:#ac5362

Other Hashes

Crop Resistant:080c1c4d0c08001a

Scan History

Scan history not available

Unable to load historical scan data