XBOW

About XBOW

XBOW is an autonomous AI platform that identifies and exploits web vulnerabilities, achieving a success rate of 75% across various security benchmarks. By executing commands and analyzing outcomes without human intervention, it enhances offensive security measures for web applications.

<problem> Web applications are vulnerable to a wide range of exploits, and traditional security measures often require significant manual effort and expertise. Identifying and addressing these vulnerabilities in a timely manner is challenging, especially with the ever-evolving threat landscape. </problem> <solution> XBOW is an autonomous AI platform designed to identify and exploit web vulnerabilities without human intervention. By executing commands and analyzing the outcomes, XBOW achieves a high success rate in solving web security benchmarks. The platform leverages agentic AI and a combination of standard and proprietary techniques to pursue high-level goals, such as capturing flags in realistic web security exercises. XBOW can also operate without explicit descriptions or flags, allowing it to discover and report vulnerabilities based on its own assessment of the application's security posture. </solution> <features> - Autonomous vulnerability identification and exploitation using AI - Achieves a 75% success rate across various web security benchmarks - Employs agentic AI with a combination of standard and proprietary techniques - Capable of solving benchmarks with or without explicit descriptions or flags - Can identify and exploit vulnerabilities such as: - CBC Padding Oracle attacks - Insecure Direct Object Reference (IDOR) in GraphQL APIs - Jenkins Remote Code Execution - node-jose Vulnerabilities - Server-Side Template Injection (SSTI) - Blind SQL Injection - Java Deserialization with Apache Commons - Cross-Site Scripting (XSS) - Hash Length Extension Attacks - Provides detailed traces of AI reasoning and command outputs </features> <target_audience> XBOW is designed for organizations seeking to improve the security of their web applications, including security professionals and developers. </target_audience>

What does XBOW do?

XBOW is an autonomous AI platform that identifies and exploits web vulnerabilities, achieving a success rate of 75% across various security benchmarks. By executing commands and analyzing outcomes without human intervention, it enhances offensive security measures for web applications.

Where is XBOW located?

XBOW is based in Seattle, United States.

When was XBOW founded?

XBOW was founded in 2024.

How much funding has XBOW raised?

XBOW has raised 20000000.

Who founded XBOW?

XBOW was founded by Oege de Moor.

  • Oege de Moor - CEO/founder
Location
Seattle, United States
Founded
2024
Funding
20000000
Employees
24 employees
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XBOW

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

XBOW is an autonomous AI platform that identifies and exploits web vulnerabilities, achieving a success rate of 75% across various security benchmarks. By executing commands and analyzing outcomes without human intervention, it enhances offensive security measures for web applications.

xbow.com2K+
cb
Crunchbase
Founded 2024Seattle, United States

Funding

$

Estimated Funding

$20M+

Team (20+)

Oege de Moor

CEO/founder

Johan Sebastian Heesemann Rosenkilde

Founding AI Engineer

Company Description

Problem

Web applications are vulnerable to a wide range of exploits, and traditional security measures often require significant manual effort and expertise. Identifying and addressing these vulnerabilities in a timely manner is challenging, especially with the ever-evolving threat landscape.

Solution

XBOW is an autonomous AI platform designed to identify and exploit web vulnerabilities without human intervention. By executing commands and analyzing the outcomes, XBOW achieves a high success rate in solving web security benchmarks. The platform leverages agentic AI and a combination of standard and proprietary techniques to pursue high-level goals, such as capturing flags in realistic web security exercises. XBOW can also operate without explicit descriptions or flags, allowing it to discover and report vulnerabilities based on its own assessment of the application's security posture.

Features

Autonomous vulnerability identification and exploitation using AI

Achieves a 75% success rate across various web security benchmarks

Employs agentic AI with a combination of standard and proprietary techniques

Capable of solving benchmarks with or without explicit descriptions or flags

Can identify and exploit vulnerabilities such as:

CBC Padding Oracle attacks

Insecure Direct Object Reference (IDOR) in GraphQL APIs

Jenkins Remote Code Execution

node-jose Vulnerabilities

Server-Side Template Injection (SSTI)

Blind SQL Injection

Java Deserialization with Apache Commons

Cross-Site Scripting (XSS)

Hash Length Extension Attacks

Provides detailed traces of AI reasoning and command outputs

Target Audience

XBOW is designed for organizations seeking to improve the security of their web applications, including security professionals and developers.