
Open-source AI security agent that finds & verifies logic-based vulnerabilities at 40× lower cost.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
OpenHack — Open-source AI security agent that finds & verifies logic-based vulnerabilities at 40× lower cost. Best for Solo developers seeking free security scanning, Small teams wanting verified findings with minimal noise, Security teams needing cost-effective AI-powered SAST. Free to start; paid plans from $50/mo.
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3 free scans · no card needed · downloadable report
OpenHack delivers real, verified vulnerabilities with PoC exploits, not noise. Its open-source model approach cuts costs dramatically, and its benchmark performance on CVE-Bench is impressive. However, it primarily targets web application logic flaws, so teams needing comprehensive SAST/DAST for infrastructure or mobile code should supplement with other tools. The free tier is generous for solo devs, but the free plan has a 3-project limit. A strong choice for budget-conscious security teams and open-source maintainers who value verified findings.
Skip OpenHack if Skip OpenHack if you need infrastructure or mobile code scanning, a plug-and-play GUI-only tool, or a dedicated DAST/IAST suite without CLI usage.
Compare with: OpenHack vs MetaGPT, OpenHack vs OpenAI Agents SDK, OpenHack vs Poolside AI
Last verified: July 2026
Across the latest 1 update: 1 launch.
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
46 mentions across 4 sources (Hacker News, YouTube, Bluesky, GitHub).
How likely is OpenHack to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →OpenHack is an open-source AI security agent designed to hunt, validate, and verify logic-based vulnerabilities in code. It uses open-source reasoning models to understand code semantically, producing working proof-of-concept exploits for every finding, eliminating false positives. Unlike traditional pattern-matching scanners, OpenHack can find authentication bypasses, IDORs, and open redirects that others miss. It runs via CLI (install with pipx or uv) or through a hosted platform, and works with JavaScript, TypeScript, Python, Go, Java, Ruby, and frameworks like Next.js, Django, Flask, Rails, Express, and FastAPI. On CVE-Bench, OpenHack achieves a 31.25% one-day pass@1 and 27.5% zero-day pass@1 using a fully open-source model, at up to 40× lower cost than frontier-model agents. The tool is free for solo developers (3 projects, 1 user) and offers paid Pro ($50/month flat for up to 10 users) and Enterprise plans with AI Autofix, compliance reports, and SSO. OpenHack is built by Titan Security Labs and launched in June 2026.
OpenHack stands out in the crowded security scanning space by focusing on what matters most: verified findings. Instead of drowning you in false positives, it only reports issues it can exploit — each comes with a PoC. This is a game-changer for developers who waste hours triaging noise from traditional SAST tools like Semgrep or Snyk Code. The benchmark results speak for themselves: 265 real vulnerabilities found (vs Bearer's 69, Semgrep's 36, Snyk Code's 13) and 59% accuracy (vs Bearer's 17%, Semgrep's 12%, Snyk Code's 5%). The cost advantage is real — using open-source models makes scans up to 40× cheaper than Claude Opus 4.6 or Kimi K2.5 agents. This allows you to run more scans more frequently. The CLI is dead simple: pipx install, then 'openhack scan .' No YAML or config needed. For teams, the Pro plan at $50/month flat (not per seat) is refreshingly simple, especially compared to per-user pricing from competitors. Where OpenHack falls short: it's focused on logic-based web vulnerabilities — not infrastructure scanning, mobile code, or deep dependency analysis (though it has basic SCA). The free tier limits you to 3 projects and 1 user, which may be tight for active solo devs with many repos. Also, its effectiveness relies on the open-source model you use; while evaluations show strong performance, you may get inconsistent results with weaker models. Overall, if you're a solo developer, a small security team, or an open-source maintainer wanting to catch real bugs without breaking the bank, OpenHack is an excellent addition to your toolbox. For larger enterprises needing a full DAST/IAST suite, it's a complement, not a replacement.
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Concrete scenarios for the personas OpenHack actually fits — and what changes day-one when you adopt it.
Install OpenHack via pipx, run 'openhack scan .' in your project directory, review the validated findings with PoC exploits, and apply one-click fix PRs.
Outcome: You find and fix an authentication bypass and an IDOR in under 10 minutes, with zero false positives.
Integrate OpenHack CLI into CI/CD pipeline to scan every pull request automatically. Set up Slack notifications for new verified vulnerabilities.
Outcome: Your team catches a critical open redirect before production, reducing mean-time-to-fix from days to hours.
Run OpenHack on each repo weekly via cron. Use the platform to get compliance reports for funding requirements.
Outcome: You ship two CVEs with full PoCs, earning trust from your community and maintainers.
as of 2026-07-06
as of 2026-07-06
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published OpenHack tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free Solo
$0/month
Ideal for
Solo developer with up to 3 side projects wanting free, verified security scans with email support.
What this tier adds
Free entry point with starter credit, 1 user, 3 projects, and no AI Autofix or compliance reports.
Pro Team
$50/month flat
Ideal for
Small team of up to 10 developers managing unlimited repos, needing one-click fix PRs and compliance reports.
What this tier adds
Adds up to 10 team members, unlimited projects, AI Autofix, compliance reports, custom project context, and priority support.
Enterprise Scale
Custom
Ideal for
Large organization requiring SSO, audit logs, RBAC, on-prem deployment, and dedicated support.
What this tier adds
Adds unlimited members, SSO/SAML, audit logs, advanced RBAC, custom inference budget, on-prem option, and dedicated CSM.
The company stage and team size where OpenHack's pricing actually pencils out — and where peers do it cheaper.
OpenHack's freemium model is ideal for solo devs and small teams. The Free Solo tier is genuinely free (no time limit), while the Pro Team plan at $50/month flat (up to 10 users) is much cheaper than per-seat competitors like Snyk Code ($25/user/month) or Semgrep ($40/user/month). Enterprise pricing is custom but likely cost-effective given open-source models. For larger orgs with compliance needs, the Enterprise plan adds SSO, audit logs, and on-prem deployment.
How long it actually takes to get something useful out of OpenHack — broken out by persona, not the marketing-page minute.
For solo devs: ~5 minutes (install CLI, run first scan). For team integration: ~30 minutes (install CLI, set up CI/CD integration, configure Slack/Jira webhooks). Enterprise onboarding with SSO and on-prem may take 1–2 days.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Common stack mates teams adopt alongside OpenHack, with the specific reason each pairing earns its keep.
MetaGPT
Open-source multi-agent framework for structured AI software development
OpenAI Agents SDK
Open-source Python SDK for building multi-agent workflows with handoffs, guardrails, and realtime voice.
Poolside AI
Enterprise open-weight foundation models and agents for high-consequence software engineering.
Open-source Python SDK for building multi-agent workflows with handoffs, guardrails, and realtime voice.
Enterprise open-weight foundation models and agents for high-consequence software engineering.
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