Security Scan Report: c-lab.one

Submitted: Feb 7, 2026, 5:36:49 AMCompleted: Feb 7, 2026, 5:38:14 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is c-lab.one and was registered NaN years ago.

Submitted URL: https://c-lab.one

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (over 7 years old)
No malicious Indicators of Compromise matches
No login, payment, or hidden sensitive fields
Unranked in Cisco Umbrella but age and lack of threats mitigate risk
Domain age information unavailable

Details

Page Title

c-lab.one

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(65%)

Domain Information

You're looking at domain 'c-lab.one' on the .one top-level domain without a subdomain. The second-level label 'c-lab' is 5 characters long holding one vowel versus three consonants; bonus characters include 1 hyphen. Breaking it apart gives 2 words: c, lab. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://c-lab.one

Page Load Overview

5.80s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:188 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain65% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
65%
news media journalism
47%
healthcare medical
44%
technology software
38%
documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
191.16.50.171Hamburg, Hamburg, Germany
AS3320Deutsche Telekom AG
11--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3048F773296063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8OldQ:ThoC9JSqzzbs6o3Sj3gcrsg2eAG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184436:pkwAABULIFxUuEpMAFwcDkrYIgFQALCNIwYBpAABGZRWWMVEwACBQMLBYUIRHCqCsLuQltHGXEydbAQKVACwoHCcNCE4BBwU

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00181c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#e06c9a

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data