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Hacktron

Hacktron · Hacktron: AI Security Agents for White-Box Pentests, Pull Request Security Review and Continuous Red Teaming

Open Hacktron

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.

PricingPaid
Setupmedium
Runs onWeb · API · Self-hosted
APIYes
Open sourceNo
DocsYes
CategorySecurity
Penetration TestingWhite-Box TestingRed TeamingApplication SecurityCode SecurityPull Request ReviewThreat ModelingAutofixVulnerability RemediationSARIFGitHubGitLabBitbucketAzure DevOpsSlackMCPAPISelf-HostedAir-GappedSOC 2Enterprise

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

Capabilities

  • Whitebox pentests of one application from its source code, with optional dynamic testing against deployed targets you list, each finding tested in an isolated sandbox or against the live app and validated by Hacktron's security researchers
  • Pentest wizard with folder-level scope selection or include and exclude path patterns, multiple related repositories, uploaded context documents (architecture notes, threat models, API specs, earlier reports) and a credit estimate before the run starts
  • Target sign-in verified in a live browser preview from plain-language auth instructions, with every dynamic testing action recorded in pentest logs
  • Full Whitebox Report and Executive Report as PDFs, findings export as CSV, SARIF or JSON, an attestation letter (issued on request) with a shareable link, and one free retest per pentest that reissues both reports
  • Review: a security check and line-level comments on every pull or merge request when it opens and on each new commit, with serious findings failing the check until they are fixed or triaged
  • Call graphs of connected codebases so Review can follow a change into surrounding code and report vulnerabilities outside the changed lines
  • Coverage of business logic flaws, broken access control, injection, prompt injection, memory safety bugs, infrastructure-as-code exposures, supply-chain risk and leaked secrets
  • An editable threat model per application, project rules in .hacktron/rules.md, repository settings in .hacktron/config.yaml, and triage replies (!fp, !valid, !accepted_risk) that teach later reviews
  • Remediation automations: an agent checks the finding is exploitable, makes the smallest root-cause fix, runs the repository's tests, adds regression tests and opens a pull request it never merges, on GitHub, GitLab, Azure DevOps or Bitbucket
  • Red: continuous red teaming in which researchers and agents map the reachable attack surface, trace paths between systems, report proven attack chains with request, response and evidence for each step, and rerun the attack after a fix
  • REST API for pentest drafts, cost estimates, scans, findings triage, PR review settings and a dependency firewall that returns package verdicts and a malware feed
  • MCP server for Claude Code, Claude Desktop, Cursor, Codex and Antigravity, plus a Slack assistant that can answer security questions, check a CVE against your repositories or prepare a pentest
  • Jira and Linear tickets for approved findings with two-way status sync, and Slack notifications
  • Enterprise on-premises appliance that runs as a single VM in your network, connects internal GitHub Enterprise Server or self-managed GitLab, and supports air-gapped operation
  • Organisation controls including required MFA, SAML SSO, member roles and per-environment credit caps for automations

Limitations

  • Red has no public price, documentation or self-serve sign-up; it is a custom engagement that starts with a call
  • Whitebox runs on prepaid scan credits that owners buy manually with no auto top-up, and a pentest cannot start until the balance covers its estimate
  • Each Whitebox pentest includes exactly one free retest, which is available on the hosted platform and only after triage is complete and at least one finding was reported
  • Review skips pull and merge requests with more than 500 changed files, and each seat contributes a pooled allowance of 50 reviewed PRs per billing period; overage at $1 per PR is off by default and only available on a paid plan
  • Bots that open reviewed pull requests, such as Devin or Claude, take billable seats unless you exclude them by author
  • Remediation runs and Slack assistant replies spend a separate automation credit balance, so the full cost of using fixes is usage-based on top of Review seats
  • Bitbucket support is documented for Bitbucket Cloud only
  • SAML SSO requires contacting Hacktron for first-time setup, and the pricing page lists SSO, audit logs and role-based access under the Review Enterprise plan
  • Dynamic testing shares your sign-in instructions and test credentials with AI agents, so Hacktron's docs advise using a staging environment and dedicated test accounts
  • The platform is closed source, and the on-premises appliance is part of the custom-priced Enterprise plan

Use cases

  • Running a white-box pentest of a SaaS application before a SOC 2 or ISO 27001 audit and handing the auditor the executive report and attestation letter
  • Putting a security check on every pull request so exploitable access-control and logic flaws from human or AI-written code are caught before merge
  • Letting an agent turn new high-severity findings into tested fix pull requests for engineers to review
  • Scheduling repeat Whitebox scans of a critical service each quarter and gating releases on the results through the API
  • Pentesting sensitive source code inside your own network with the on-premises appliance
  • Engaging continuous red teaming of external services, identity and SaaS connections to find multi-step attack paths that a single-app pentest would miss

Our take

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.

Strengths

  • Published self-serve pricing for Whitebox (sized by code) and Review (per developer), with a credit estimate shown before a pentest starts
  • Whitebox findings are validated by human researchers and come with full and executive reports, an attestation letter and a free retest
  • Review follows call graphs beyond the diff and fails the check only on serious findings, so clean PRs pass quietly
  • Broad source-control coverage: GitHub, GitHub Enterprise Server, GitLab (cloud and self-managed), Azure DevOps Services and Server, and Bitbucket Cloud
  • REST API, MCP server and Slack assistant, plus fix pull requests from Remediation automations
  • On-premises appliance for sensitive code, including air-gapped networks, and SOC 2 Type 1 and Type 2 reports for Hacktron itself

Weaknesses

  • Red, the continuous red-teaming product, is sales-only with no published price or documentation
  • Three separate billing meters (Review seats, Whitebox credits, automation credits) take some attention to budget
  • Only one free retest per pentest, and only on the hosted platform
  • Review skips very large pull requests and caps reviewed PRs per seat unless overage is turned on
  • Closed source, and choosing the model provider is documented only for the on-premises appliance

Hacktron pricing

Review Pro

From $40 per developer

Billed monthly

  • 50 PRs per developer pooled across the organisation, unlimited scans per PR
  • $1 per additional PR when overage is turned on
  • Auto-triage and tested fixes
  • 14-day free trial with no payment method
  • Free for qualifying open-source projects

Review Enterprise

Custom

  • Rules per repository
  • SSO, audit logs and role-based access
  • Dedicated account team

Whitebox

$50 to $25,000 per pentest

Billed one-time

  • About $500 per 100,000 lines of code; codebases over 5 million lines are custom-priced
  • Full analysis capabilities on every pentest
  • Audit-ready report for SOC 2 or ISO 27001
  • One free retest and an attestation letter
  • Paid from prepaid Whitebox Scan credits

Whitebox Enterprise

Custom

  • On-premises deployment for organisations with sensitive data

Red

Custom

  • Continuous red teaming of your whole attack surface
  • Scoped to your organisation
  • Starts with a call

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.

Where Hacktron excels

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. competitors

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.

Frequently asked questions

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.

Integrations & fit

GitHubGitHub Enterprise ServerGitLabAzure DevOpsBitbucketJiraLinearSlackMCPClaude CodeCursorCodexAPI
Good fit forStartup / small team, Enterprise
Pricing modelPaid· Paid subscription required
See pricing on Hacktron →

Alternatives to consider

About Hacktron

Hacktron 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.

Updates from Hacktron

MilestonePartnership with OpenAI

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.

New FeatureWhitebox scope step, attestation letter page and larger PR reviews

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.

MilestoneHacking OpenAI research write-up

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.

New FeatureOn-premises appliance supports internal Git and air-gapped networks

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.

IntegrationReview supports Azure DevOps

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.

PricingHacktron Review free for open source

On May 8, 2026, Hacktron opened Review to qualifying open-source projects for free, with inline findings and project-specific learning.

LaunchHacktron Review launched

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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