
Hacktron · Hacktron: AI Security Agents for White-Box Pentests, Pull Request Security Review and Continuous Red Teaming
Hacktron is an AI offensive security platform with three products: Whitebox runs code-aware pentests of one application with researcher-validated findings and audit-ready reports, Review checks every pull request for exploitable vulnerabilities, and Red is a continuous red-teaming engagement across your whole organisation. It suits engineering-led companies and AppSec teams that want proven, exploitable findings rather than scanner output, with self-serve Review and Whitebox pricing and an on-premises edition for sensitive code.
Best for
Engineering-led SaaS companies and AppSec teams that want exploit-focused PR security review on every change plus code-aware pentests with audit-ready reports, bought self-serve with published per-seat and per-codebase-size pricing
Not ideal for
Teams without access to the application's source code, buyers who want an open-source tool they can run with their own model key, organisations that only need general code-quality review, and anyone wanting a fixed annual price for continuous red teaming without a sales conversation
Who it's for
Application security and product security teams, CTOs and engineering leaders at software companies, compliance owners who need pentest evidence, and open-source maintainers who qualify for free Review
Hacktron's distinguishing move is pairing two products that are usually bought from different vendors: an always-on PR security reviewer and a priced-up-front white-box pentest with human validation and auditor paperwork. For a SaaS company that needs both a pentest report this quarter and fewer exploitable bugs in every merge, that is a coherent package, and the self-serve pricing makes it easy to try on one repository. Its research record, from remote code execution bugs in PHP, Node.js and Metabase Cloud to the OpenAI chain, is the main evidence that the agents find real issues, though that record is mostly self-published. The fit is narrower than the 'whole organisation' Red pitch suggests: Red is a sales engagement with little public detail, so most buyers will be evaluating Whitebox and Review. Teams that only want black-box testing of web apps at portfolio scale will find XBOW a closer match, and teams that want an open-source white-box pentester they run themselves should look at Shannon or Strix.
Who should use it
Software companies with access to their own source code that want exploit-focused security review on every pull request and periodic white-box pentests with audit-ready reports, especially teams shipping lots of AI-written code, teams preparing for SOC 2 or ISO 27001, and organisations that need the scanning to run on-premises.
Who should skip it
Teams that need black-box testing of applications whose source they cannot share, organisations that want an open-source or bring-your-own-model tool, teams looking for a general code-quality reviewer rather than security-only review, and buyers who need published pricing for continuous red teaming.
Review Pro
From $40 per developer
Billed monthly
Review Enterprise
Custom
Whitebox
$50 to $25,000 per pentest
Billed one-time
Whitebox Enterprise
Custom
Red
Custom
Free tier limits: Review has a 14-day free trial that does not need a payment method and does not restart after cancellation. Qualifying open-source projects get Review free.
Note: Each product is billed separately: Review by developer seat each month (annual billing through hello@hacktron.ai), Whitebox by prepaid scan credits deducted when a pentest starts, and Remediation runs and Slack assistant replies by a separate automation credit balance with optional auto top-up. Hacktron's billing docs say organisations with an active paid Review subscription start with $50 in automation credits. Bots that open reviewed PRs count as seats.
Pentest evidence for a compliance audit
Whitebox prices the pentest up front from code size, tests the code and the staging app, has researchers validate findings, and produces an executive report, attestation letter and post-retest report that auditors and customers ask for.
Security review for a team shipping AI-written code
Review checks every pull request against the whole codebase and an editable threat model, fails the check only on serious exploitable findings, and can hand a finding to an agent that opens a tested fix PR.
Pentesting proprietary code that cannot leave the network
The Enterprise appliance runs as a VM in your environment, connects to internal GitHub Enterprise Server or GitLab, accepts source archives up to 2 GiB and can run air-gapped.
Hacktron vs. Neo
Neo is ProjectDiscovery's AI security platform that covers running-app pentests, attack-surface mapping, PR review and bug-report triage, with per-seat self-serve plans and on-prem Enterprise. Hacktron centres on source code: Whitebox pentests priced by code size with researcher validation and attestation letters, and a security-only PR reviewer priced per developer.
Hacktron vs. XBOW
XBOW autonomously pentests internet-reachable web apps and APIs, black-box by default, at portfolio scale with custom usage-based pricing. Hacktron Whitebox starts from your source code, optionally tests the deployed app, and publishes a per-pentest price, while Hacktron Review adds PR-time coverage that XBOW does not offer.
Hacktron vs. Shannon
Shannon is Keygraph's AGPL-3.0 white-box pentester that you run yourself with your own model key against a staging app. Hacktron Whitebox is a managed service with credit pricing, human validation, PDF reports, attestation letters and retests, plus PR review and an on-premises appliance.
Hacktron vs. Codex Security
Codex Security is OpenAI's application security agent inside Codex, with threat modeling, validated findings, patches and a GitHub PR reviewer for ChatGPT workspaces with access. Hacktron is vendor-neutral across GitHub, GitLab, Azure DevOps and Bitbucket and adds paid pentests with audit reports and a red-teaming service.
Hacktron vs. Strix
Strix is an Apache-2.0 open-source AI pentesting tool for the CLI or CI with a paid cloud that adds PR security reviews. Hacktron is closed source but sells validated white-box pentests with compliance reports and attestation letters alongside its PR reviewer.
Hacktron vs. Claude Security
Claude Security is Anthropic's repository-scanning agent in Claude.ai, in public beta for Claude Enterprise, that keeps findings current as commits land. Hacktron reviews each pull request with comments and a blocking check, runs scoped pentests against deployed apps, and works without a Claude subscription.
Hacktron vs. CodeRabbit
CodeRabbit is a general AI code reviewer that comments on quality, logic and security in every pull request. Hacktron Review comments only on security and reports what it can show is exploitable, so some teams run both: CodeRabbit for general review and Hacktron for security.
What is Hacktron?
Hacktron is an AI-native offensive security company. Its Whitebox product pentests one application from its source code, Review checks every pull request for exploitable vulnerabilities, Automations turns findings into tested fix pull requests, and Red is a continuous red-teaming engagement across an organisation's whole attack surface.
How much does Hacktron cost?
Review starts at $40 per developer a month with 50 pull requests per developer pooled across the organisation and $1 per additional PR if overage is on, after a 14-day free trial. Whitebox costs $50 to $25,000 per pentest, about $500 per 100,000 lines of code, paid with prepaid credits. Red and the Enterprise plans (including on-premises) are custom-priced. Remediation runs use separate automation credits.
Is Hacktron free for open source?
Yes, for qualifying public repositories. Open-source projects apply through Hacktron's open-source page and get Review free; the October 2026 changelog says OSS organisations get 50 free pull request reviews a month.
Can Hacktron be self-hosted?
Yes, on the Enterprise plan. Hacktron Enterprise runs as a single-VM appliance in your environment, can reach internal GitHub Enterprise Server or self-managed GitLab, accepts uploaded source archives, and supports air-gapped networks.
Does a Hacktron pentest count for SOC 2 or ISO 27001?
Hacktron says Whitebox reports serve as pentest evidence for SOC 2, ISO 27001 and customer security reviews, and it issues an attestation letter for auditors. That is evidence about your application. Separately, Hacktron itself has SOC 2 Type 1 and Type 2 reports from Insight Assurance, available on request through its trust centre.
Which languages and source control platforms does Hacktron support?
Hacktron says it supports any language, with deeper analysis for Python, JavaScript, TypeScript, Go, Java, Ruby, PHP, Rust, C, C++, C#, Kotlin, Swift, Scala, Elixir and Solidity. It connects to GitHub, GitHub Enterprise Server, GitLab.com and self-managed GitLab, Azure DevOps Services and Server, and Bitbucket Cloud.
What is the Hacktron and OpenAI partnership?
OpenAI announced on November 6, 2026 that it is partnering with Hacktron to find vulnerabilities in OpenAI's systems. Hacktron's researchers work with OpenAI engineers and prioritize testing of connections with third-party services, and Hacktron gets broader frontier-model access through OpenAI's Daybreak Red program. It followed Hacktron's disclosure, through OpenAI's bug bounty program, of an exploit chain into OpenAI employees' ChatGPT and Codex accounts.
Is my code used to train AI models?
Hacktron says no: its AI providers, OpenAI, Anthropic and Google, may not train on its data and have zero data retention agreements. Cloud scans clone the repository into an isolated sandbox that is destroyed when the scan ends, and the on-premises edition keeps code in your environment.

ProjectDiscovery
AppSec and product security teams, MSSPs and bug bounty hunters who want an agent to pentest running apps, review pull requests and reproduce incoming vulnerability reports with proof, on a platform that keeps context between runs
Freemium
XBOW
Enterprise and mid-market security teams that own more web applications than they can pentest by hand and want exploit-validated findings, fix retesting and audit evidence across the whole portfolio, bought through sales or a cloud marketplace
CustomKeygraph
Engineering teams with access to both the source code and a staging copy of their web app or API who want open-source, evidence-backed security testing in CI
Freemium
OpenAI
Security and engineering teams that already use Codex or the OpenAI API and want an agent that validates findings and prepares reviewable fixes, from a one-off repository audit to per-PR checks in CI
PaidHacktron is built by security researchers and sells one platform in three motions. Whitebox is a scoped pentest of one application: you connect a repository from GitHub, GitHub Enterprise Server, GitLab, Azure DevOps or Bitbucket (or give a public repository URL or upload an archive), narrow the folders in scope, optionally add staging URLs with test-account sign-in steps that Hacktron verifies in a live browser preview, and attach architecture notes or threat models. You see a credit estimate based on code size before anything starts (the public price list says $50 to $25,000, about $500 per 100,000 lines of code, with codebases above 5 million lines quoted separately). Agents trace untrusted input through the code, test each candidate in an isolated sandbox or against the deployed app, and Hacktron's researchers validate findings before you get a full technical report, an executive report, one free retest and, on request, an attestation letter that you can use as pentest evidence for SOC 2, ISO 27001 or customer security reviews. Review is the continuous counterpart: it posts a security check and line comments on every pull or merge request, builds call graphs so it can flag a vulnerability outside the changed lines, maintains an editable threat model, and fails the check on serious findings until they are fixed or triaged. It is billed per developer seat from $40 a month with a 14-day trial, and is free for qualifying open-source projects. Automations hand matching findings to an agent that confirms the bug, writes a fix, runs your tests and opens a pull request, paid from a separate credit balance. Red is a custom engagement in which researchers and agents continuously map and attack your external services, authentication, SaaS providers and supply chain, report proven attack paths with evidence for each step, and rerun the attack after a fix. Whitebox and Review are also reachable through a REST API, an MCP server and a Slack assistant, and an Enterprise appliance runs in your own network, including air-gapped environments. The company's credibility comes largely from its published research, including a September 2026 write-up of an exploit chain into OpenAI employees' ChatGPT and Codex accounts, reported through OpenAI's bug bounty program and followed in November 2026 by a security partnership with OpenAI. The tradeoffs: Red has no public price or self-serve path, Whitebox and Automations are prepaid credit products you have to watch, Review caps changes at 500 files and pooled PR allowances per seat, and the platform is closed source.
On November 6, 2026, OpenAI announced a partnership with Hacktron to find vulnerabilities in OpenAI's systems. Hacktron's researchers work with OpenAI engineers and prioritize testing of connections with third-party services, and Hacktron gets broader frontier-model access through OpenAI's Daybreak Red program. The partnership followed Hacktron's work in OpenAI's bug bounty program.
The October 27, 2026 release added a folder tree for choosing what a Whitebox pentest covers, an Attestation Letters page with shareable links and PDF downloads, and raised Review's limit from 200 to 500 changed files per pull request. Open-source organisations now get 50 free pull request reviews a month.
On September 13, 2026, Hacktron published how its researchers, working with AI models, chained a libheif heap overflow reachable through image uploads on OpenAI's Discourse-hosted community forum with an OpenAI SSO flaw to take over OpenAI employees' ChatGPT and Codex accounts. They proved impact by using one employee's Codex, which was connected to OpenAI's GitHub organisation, to open a harmless pull request in an internal repository, and reported it through OpenAI's bug bounty program; OpenAI confirmed a fix about 14 hours after the report and paid a $6,500 bounty for the OpenAI-side finding.
On August 19, 2026, Hacktron's appliance gained allowlisting of internal Git hosts, trusted CA certificates and masked support bundles that need no outbound connection, and on-premises Whitebox pentests gained GitHub Enterprise Server repositories and uploaded source archives as sources.
On August 3, 2026, Review added Azure DevOps pull requests, with automatic reviews, seat assignment and findings as on GitHub and GitLab, and automations gained per-environment credit caps and live run transcripts.
On May 8, 2026, Hacktron opened Review to qualifying open-source projects for free, with inline findings and project-specific learning.
On April 28, 2026, Hacktron introduced Review, an AI security reviewer for pull requests that uses codebase context to report exploitable vulnerabilities before merge.
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