Security Scan Report: js.media-lab.ai

Submitted: Jan 6, 2026, 12:29:47 PMCompleted: Jan 6, 2026, 12:31:30 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is js.media-lab.ai and was registered NaN years ago.

Submitted URL: https://js.media-lab.ai

The Cisco Umbrella rank of the primary domain is #51,193 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain (>7 years old)
No malicious Indicators of Compromise
No forms collecting sensitive data
Standard hosting environment
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(46%)

Domain Information

Domain 'js.media-lab.ai' uses the Anguillan country-code top-level domain (.ai) with subdomain 'js'. The second-level label 'media-lab' is 9 characters long containing four vowels alongside four consonants, notching 1 hyphen. Breaking it apart gives two words: media, lab. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://js.media-lab.ai

Page Load Overview

1.46s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:520 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical46% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
46%
healthcare medical
30%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13.167.227.115United States
13.167.227.81United States
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9517671ED9318A6513BC9E11AFF676632EAC037D09A6214F69CA398CFCED40F821901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9kyEkk1ncqugukVPANyAgN+llFFNKEyertF:niFWN15AN427z6bczgumPANhgNqLNqeP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2856:BCAAMgAEAAAABAACEAGAoMAABEgIAAAhEAAQIAADCoEBBAoAAEKYARJAABAEgAUAABACAgAgEAlAACQgCAAAAAAABIACAOCB

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:003fffffffffffff
Perceptual Hash:880c0d0d1d1f3f7f
Difference Hash:f0e0000000000000
Wavelet Hash:000fffff00000000
Color Hash:#d2982d

Other Hashes

Crop Resistant:f0e0000000000000

Scan History

Scan history not available

Unable to load historical scan data