linkgo
Hacktron

Hacktron

AI

An AI security engineer that reviews every pull request, traces exploitable vulnerabilities and proves them with a working exploit before code ships.

-(0 Reviews)
Free Available
Starting from Free
Premium plans available

About Hacktron

Hacktron is an AI application-security platform built around one rule the team states as "PoC or GTFO": if it cannot demonstrate impact, it does not alert you. It indexes your codebase, traces each change the way an attacker would, and asks what a successful exploit would actually require — then attaches a working proof of concept to the finding and posts it directly in the pull request with an AI-generated fix. That posture is a direct answer to the false-positive fatigue of conventional scanners, and to a threat window the company charts as having collapsed from a 2.3-year mean time-to-exploit in 2018 to exploitation before public disclosure today. Beyond PR review, Automations let you set conditions once so matching findings are verified, remediated and reported to Slack or email without a human in the loop, and Whitebox runs a full-scope penetration test with threat modelling, taint tracing and exploit-driven validation, producing a SOC 2 or ISO 27001 audit-ready report in hours. Hacktron also learns per repository: version-controlled project rules, threat models built from your uploaded architecture notes and past pentest reports, and triage feedback that sharpens future reviews.

Screenshots

Hacktron screenshot 1
+

Key Features

Exploit-Proven PR Review: Reviews every pull and merge request on GitHub, GitLab or Bitbucket and only reports a finding when it can attach a working exploit demonstrating real impact.
Attacker-Path Taint Tracing: Indexes the codebase and traces tainted input through call paths to determine what an attacker can actually reach, rather than pattern-matching on syntax.
Fix with AI in the Thread: Delivers a remediation prompt and suggested diff inside the pull request comment so the fix happens where the review already is.
Security Automations: Set trigger conditions once and Hacktron verifies, fixes and tests every matching finding, then notifies the team in Slack or email.
Whitebox Pentests: Launches a full-scope assessment that deploys a sandbox, builds a call graph, maps the attack surface and validates exploits, delivering an audit-ready SOC 2 or ISO 27001 report in hours instead of weeks.
Versioned Project Rules: A .hacktron/rules.md file lives and versions with your code, encoding which paths are high risk and which findings to suppress, cutting false positives without going blind to real bugs.
Threat Models from Your Documents: Upload architecture notes, security policies or past pentest reports and Hacktron builds and updates a versioned threat model for the application.
Triage as Training: Every finding you accept, dismiss or downgrade teaches the system that codebase's threat model, so reviews sharpen the longer it stays embedded.
MCP and REST API Access: Pull findings into Cursor, Claude Code or Codex over MCP to analyse and fix, or build custom workflows on the REST API, plus Jira and Linear ticket creation.

Use Cases

Pre-Merge Vulnerability Gating: Catching an IDOR or injection introduced by a pull request before it reaches production, with the exploit attached so nobody debates severity.
Replacing Annual Pentests: Running continuous whitebox assessments instead of relying on a once-a-year engagement that misses everything shipped in between.
SOC 2 and ISO 27001 Evidence: Producing an audit-ready penetration test report in hours to satisfy a compliance deadline or a customer security review.
Cutting Scanner Alert Fatigue: Replacing a noisy SAST queue with findings that come with proof, so the security team spends its time on real issues.
Scaling a Small Security Team: Giving one or two security engineers coverage across every repository and every developer's pull requests.
Dependency Supply-Chain Checks: Scanning a lock file for malicious packages before they land in the build.
Fixing Findings from Your Editor: Pulling confirmed vulnerabilities into Claude Code or Cursor over MCP and remediating them without leaving the IDE.

Frequently asked questions about Hacktron

What is Hacktron?

An AI security engineer that reviews every pull request, traces exploitable vulnerabilities and proves them with a working exploit before code ships.

How does Hacktron work?

Hacktron works by combining Exploit-Proven PR Review: Reviews every pull and merge request on GitHub, GitLab or Bitbucket and only reports a finding when it can attach a working exploit demonstrating real impact., Attacker-Path Taint Tracing: Indexes the codebase and traces tainted input through call paths to determine what an attacker can actually reach, rather than pattern-matching on syntax., Fix with AI in the Thread: Delivers a remediation prompt and suggested diff inside the pull request comment so the fix happens where the review already is., Security Automations: Set trigger conditions once and Hacktron verifies, fixes and tests every matching finding, then notifies the team in Slack or email., Whitebox Pentests: Launches a full-scope assessment that deploys a sandbox, builds a call graph, maps the attack surface and validates exploits, delivering an audit-ready SOC 2 or ISO 27001 report in hours instead of weeks. to help users with Pre-Merge Vulnerability Gating: Catching an IDOR or injection introduced by a pull request before it reaches production, with the exploit attached so nobody debates severity., Replacing Annual Pentests: Running continuous whitebox assessments instead of relying on a once-a-year engagement that misses everything shipped in between., SOC 2 and ISO 27001 Evidence: Producing an audit-ready penetration test report in hours to satisfy a compliance deadline or a customer security review., Cutting Scanner Alert Fatigue: Replacing a noisy SAST queue with findings that come with proof, so the security team spends its time on real issues., Scaling a Small Security Team: Giving one or two security engineers coverage across every repository and every developer's pull requests..

What are the main features of Hacktron?

Key features include Exploit-Proven PR Review: Reviews every pull and merge request on GitHub, GitLab or Bitbucket and only reports a finding when it can attach a working exploit demonstrating real impact., Attacker-Path Taint Tracing: Indexes the codebase and traces tainted input through call paths to determine what an attacker can actually reach, rather than pattern-matching on syntax., Fix with AI in the Thread: Delivers a remediation prompt and suggested diff inside the pull request comment so the fix happens where the review already is., Security Automations: Set trigger conditions once and Hacktron verifies, fixes and tests every matching finding, then notifies the team in Slack or email., Whitebox Pentests: Launches a full-scope assessment that deploys a sandbox, builds a call graph, maps the attack surface and validates exploits, delivering an audit-ready SOC 2 or ISO 27001 report in hours instead of weeks..

Who is Hacktron for?

Hacktron is useful for anyone interested in Pre-Merge Vulnerability Gating: Catching an IDOR or injection introduced by a pull request before it reaches production, with the exploit attached so nobody debates severity., Replacing Annual Pentests: Running continuous whitebox assessments instead of relying on a once-a-year engagement that misses everything shipped in between., SOC 2 and ISO 27001 Evidence: Producing an audit-ready penetration test report in hours to satisfy a compliance deadline or a customer security review., Cutting Scanner Alert Fatigue: Replacing a noisy SAST queue with findings that come with proof, so the security team spends its time on real issues., Scaling a Small Security Team: Giving one or two security engineers coverage across every repository and every developer's pull requests..

How much does Hacktron cost?

Hacktron offers a free tier with paid plans for advanced features.

How do I get started with Hacktron?

Visit https://hacktron.ai/ to sign up and explore Hacktron.

Explore more AI Ai Agents tools

Browse all Ai Agents tools →

Browse by use case: Code Generation · Automation & Productivity

Compare Hacktron: vs Ninjō AI · vs Phoenix.vu · vs Dropstone · vs Apache Maka