Security Scan Report: investors.coreweave.com

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Submitted: Oct 27, 2025, 11:14:54 PMCompleted: Oct 27, 2025, 11:18:25 PMpubliccompleted
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Summary

This website contacted 44 IPs in 3 countries across 11 domains to perform 71 HTTP transactions. The main domain is investors.coreweave.com and was registered NaN years ago.

Submitted URL: https://investors.coreweave.com/events-and-presentations/event-details/2025/CoreWeave-Third-Quarter-2025-Earnings-Conference-Call-2025-CIWcxlL9UX/default.aspx

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate investor site with no security concerns.

Safety Factors
Established corporate subdomain (investors.coreweave.com)
Standard investor‑relations content
Cloudflare protection in place
No suspicious redirects beyond normal verification flow
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

Within the commercial generic top-level domain (.com), 'investors.coreweave.com' is registered; it also runs on subdomain 'investors'. The second-level label 'coreweave' is 9 characters long containing five vowels alongside 4 consonants. Splitting it apart reveals two words: core, weave. Expect 4.5 characters per word on average. The linguistic tilt is Chinese (Pinyin) for 'core'. Secondary signals appear in English and Vietnamese.

Screenshot

Security scan screenshot of https://investors.coreweave.com/events-and-presentations/event-details/2025/CoreWeave-Third-Quarter-2025-Earnings-Conference-Call-2025-CIWcxlL9UX/default.aspx

Page Load Overview

4.61s
Total Load Time
71
HTTP Requests
11
Domains
2.1 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-US
Text Length:1,864 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
75%
government public service
42%
news media journalism
40%
documentation technical
33%
corporate business
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30162.159.130.11United States
AS13335CLOUDFLARENET
14185.172.148.128Germany
AS44239proinity GmbH
5143.204.98.63United States
AS16509AMAZON-02
4142.250.185.234United States
AS15169GOOGLE
4172.67.71.148United States
AS13335CLOUDFLARENET
252.222.236.121United States
AS16509AMAZON-02
213.32.121.78New York, New York, United States
AS16509AMAZON-02
1172.67.75.33United States
AS13335CLOUDFLARENET
1104.26.15.52United States
AS13335CLOUDFLARENET
165.9.66.41United States
AS16509AMAZON-02
7144--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142B38371AD61123150EF3CBEB2969AD36BB09053CA1FAC55B2ACD218BFB6D40253315F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:W/srU//QYnTheJhCJDfk3kAk2S3ogM1kQ0AV7XydZKU:W9JDfk3kAk2S3ogM1p0AV7XydZKU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:117997:kABAmLjELGgIAEAZWxCjBbzRAEAAkJBsMicX/FBSC9BkMQlAI1ERQQwiRqAJkIEmkt64AEPESwkBAADxAWjwkSGENrwxRwuo

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:92e4e0fecfffc3f1
Perceptual Hash:ff566a9c898cc922
Difference Hash:220cccc038300703
Wavelet Hash:80e0f0fc8ebe83f1
Color Hash:#d28279

Other Hashes

Crop Resistant:220cccc038300703

Scan History

Scan history not available

Unable to load historical scan data