Security Scan Report: counts.xenonlab.ai

Submitted: Jan 11, 2026, 1:42:12 PMCompleted: Jan 11, 2026, 1:47:04 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is counts.xenonlab.ai and was registered NaN years ago.

Submitted URL: https://counts.xenonlab.ai

The Cisco Umbrella rank of the primary domain is #899,553 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No credential‑harvesting or payment collection forms
Domain age information unavailable

Details

Page Title

counts.xenonlab.ai

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(58%)

Domain Information

The domain 'counts.xenonlab.ai' uses the Anguillan country-code top-level domain (.ai); it also runs on subdomain 'counts'. Its registrable label 'xenonlab' stretches across 8 characters split between 3 vowels and five consonants. Tokenizing the label suggests two words: xenon, lab. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://counts.xenonlab.ai

Page Load Overview

22.45s
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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software58% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
58%
healthcare medical
54%
government public service
53%
news media journalism
47%
documentation technical
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1159.223.202.43Santa Clara, California, United States
AS14061DIGITALOCEAN-ASN
11--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszR2bMy8OldO:VhoC9JSqzzbs6o3Sj3gcrs12eAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184264:4FNMgA4IIDRHBCCCMwc1BCCBZpoL5OCmMcQhAAiBBUyCG4IsECwJf5Ej+FRAWMH4mAOkmIhHkcDlAASdACB4jggAhGeuaglA

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:ffcfc7ffffffffff
Perceptual Hash:b131cccccec63333
Difference Hash:00181c0000000000
Wavelet Hash:3f1f033f00000000
Color Hash:#d279c3

Other Hashes

Crop Resistant:00181c0000000000

Scan History

Scan history not available

Unable to load historical scan data