Security Scan Report: claudedesktop-llm.gitlab.io

Redirected to:
https://gitlab.com/users/sign_in
Site favicon
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 4 domains to perform 18 HTTP transactions. The main domain is gitlab.io and was registered 14 years ago.

Submitted URL: https://claudedesktop-llm.gitlab.io

Effective URL:
https://gitlab.com/users/sign_in
Redirected

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

claudedesktop-llm.gitlab.io is flagged as ClearFake/exploit-kit malware by 3 feeds (MISP, ThreatFox). Page content was hidden behind a Cloudflare bot wall, so evidence is unknown, not clean.

Risk Factors (5)
Multi-source corroborated threat-intel match identifying the scanned domain as a ClearFake/exploit-kit malware indicator (MISP scanmalware x2, ThreatFox abuse.ch)
Named malware family attributed to the page's own primary domain
91 eval() calls / dynamic code execution in the served JavaScript (content unverifiable behind the bot wall)
Circular redirect flagged, with 3 cross-domain hops in the chain
Domain is unranked in Cisco Umbrella top 1M and sits on free gitlab.io shared hosting (weak prior only)
Safety Factors (3)
Brand check passed — no impersonation of a different entity detected in the captured content
Final destination is the legitimate gitlab.com sign-in page, reached via redirect
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 8 to 3
Domain age information unavailable

Details

Page Title

Just a moment...

Scan Type

public

Domain Name Analysis

The domain name 'claudedesktop-llm.gitlab.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'claudedesktop-llm'. The registrable portion 'gitlab' spans 6 characters split between 2 vowels and four consonants. Word splitting yields 3 words: g, it, lab. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://claudedesktop-llm.gitlab.io

Page Load Overview

21.81s
Total Load Time
646 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:374 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.65.251.78Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
635.185.44.232Google · CDNNorth Charleston, South Carolina, United States
AS396982Google LLC
6104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
183--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11AC15CF7F89A401B53B66B9388B733DC8275BA485F0461D0E294D99D95CCF4F90468D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:PNynGvmXZzIEb0Ep9W87SFjtRHM/MLHQGzKCxUOYn1Ah8AFK3hBK4GWBu1SOIeYb:PN+2ax9BspRsErtzFxU7ahjehBJGSu1a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6121:gAgwaEKSxZcChxQhhGSA0wQEZESoEAAAFAJGglGCALIQQIOAAniCoEAggUjFwgkEAKRMRCBADQARQMDEJIqFBQ4pSwkJBgcI

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:dfc3c7ffffffffe7
Perceptual Hash:b03830cfc6cfc6c6
Difference Hash:101e1c100000000c
Wavelet Hash:3c00043c3f3f3f03
Color Hash:#d2512d

Other Hashes

Crop Resistant:101e1c100000000c

Scan History

Scan history not available

Unable to load historical scan data