Security Scan Report: glados.k.vu

Redirected to:
https://glados.k.vu/login.html
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 3 domains to perform 38 HTTP transactions. The main domain is k.vu and was registered 13 years ago.

Submitted URL: https://glados.k.vu/

Effective URL:
https://glados.k.vu/login.html
Redirected

The Cisco Umbrella rank of the primary domain is #497,535 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Self-branded app login on a free dynamic-DNS host with a password-only field. No impersonation, exfiltration, malware or phishing IDS hit; reputation tag is generic abuse-only, so moderate risk at most.

Risk Factors (3)
Password-only login field with no username/identity field — unusual credential capture pattern
Free dynamic-DNS subdomain hosting, a common vector for temporary or disposable deployments
Very low domain ranking (#497,535) for an app presenting itself as a service
Safety Factors (5)
No impersonation of another organisation's brand — the page presents only its own 'AIClient2API' name
No cross-origin form submission and no JavaScript credential exfiltration detected
No hunting rule malware patterns, no known malicious kit in the analyst-vetted roster
No payment fields and no disguised/hidden password inputs
Third-party scripts limited to cdnjs.cloudflare.com and src.hex2077.dev; no obfuscated JavaScript or network sinks
Domain age information unavailable

Details

Page Title

登录 - AIClient2API

Scan Type

public

Domain Name Analysis

Domain 'glados.k.vu' uses the .vu country-code top-level domain with subdomain 'glados'. Count 1 characters in 'k' holding 0 vowels versus 1 consonant. Tokenizing the label suggests 1 word: k. Expect one character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://glados.k.vu/

Page Load Overview

2.92s
Total Load Time
559 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:zh-CN
Text Length:110 chars
Detector Agreement:100%
Language mismatch: Declared as zh-CN but detected as en

Website Classification

Primary Category

technology software63% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
63%
cryptocurrency blockchain
42%
government public service
40%
documentation technical
40%
healthcare medical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.64.145.93Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.18.42.163Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
385--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F32B8AA25BB08157563E1EC77DB25103929C013904DDE28BF9C53889F87BD98DA37CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2Q5+tBfUVFhah04h/SooYgfs14yA5yJV9XwyrrhF5bzetdZqIM:2IFKBxp91rBIJM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11580:CADlEIbRYsJlEoBVIacDwBEkhAIkri2QKyjCoUXIALxVDsCxEQZASghYkQgBCggCggBQDrEBIAEAiiEJo8SAziSIKlpOb4JC

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:ffffe7ffe7e7ffff
Perceptual Hash:b3cccc3399cc3233
Difference Hash:001008284c4c3008
Wavelet Hash:fce4e0e0c3c3c3c3
Color Hash:#e0ca6c

Other Hashes

Crop Resistant:001008284c4c3008

Scan History

Scan history not available

Unable to load historical scan data