Security Scan Report: lava.ai

Redirected to: https://www.lava.ai/

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Submitted: Jan 19, 2026, 8:03:23 AMCompleted: Jan 19, 2026, 8:04:45 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 9 domains to perform 7 HTTP transactions. The main domain is lava.ai and was registered NaN years ago.

Submitted URL: https://lava.ai

Effective URL: https://www.lava.ai/Redirected

The Cisco Umbrella rank of the primary domain is #195,341 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection
Standard informational/homepage content
Domain age information unavailable

Details

Page Title

Home | Lava.ai

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

Within the Anguillan country-code top-level domain (.ai), 'lava.ai' is registered without a subdomain. The second-level label 'lava' is 4 characters long with two vowels and 2 consonants. Segmentation suggests 1 word: lava. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lava.ai

Page Load Overview

11.07s
Total Load Time
169
HTTP Requests
8
Domains
1.3 MB
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:9,278 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
corporate business
64%
cryptocurrency blockchain
52%
blog personal website
37%
entertainment media
32%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2565.8.131.55United States
AS16509AMAZON-02
2434.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2434.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2434.202.88.157Ashburn, Virginia, United States
AS14618AMAZON-AES
24185.230.63.107Ashburn, Virginia, United States
AS58182Wix.com Ltd.
24151.101.130.217United States
AS54113FASTLY
2434.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1697--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3954C30B12C2C3D5673629EE156EBFE3E92B512DF8655BDFEA4760085CEBA42273104

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:56M1mR7/65tzw5qxNMvg7uw0TyfGFzFF7m:r1mR7/65tzw5q8vg7uw0TyeFpF7m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1961713:JA8BgGAAayh8gEbnghY4EBVGOBJJAAXNKgsgBgSgKABocEAEIC+NZwpkDlAgJ8gpwCIESDjAVQg+AADBINZA+CYJzganQMgq

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:ff00010101010161
Perceptual Hash:aadfc0cbd8c2cac8
Difference Hash:29070f4f3fcfcf8f
Wavelet Hash:ff03030307276777
Color Hash:#4093bf

Other Hashes

Scan History

Scan history not available

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