Escape vs StackHawk: full DAST comparison 2026

Escape is an offensive security engineering platform that combines external network pentesting, business-logic-aware DAST, and AI pentesting. Escape's DAST tests auth flows, authorization boundaries, and application logic on every build, not payload injection on form fields, but whether a payment flow actually enforces the pricing rules it claims to. Its AI pentesting layer then runs human-grade assessments that chain multi-step attack paths, prove exploitability with exploration graphs and reproduction steps engineers can follow, and regression-test findings from past pentests and bug bounty reports. StackHawk is an AppSec Intelligence Platform that discovers APIs from source code and tests them pre-merge. Its Business Logic Testing adds cross-user BOLA and BFLA replay, scoped to staging and test environments.

The practical split: StackHawk is a capable pre-merge gate inside the pull request. Escape is built for depth across an attack surface that includes the applications your central security team doesn't have repository access to.

In this article, we’ll break down the key differences between StackHawk and Escape. Let's dive in!

How we built the comparison between StackHawk and Escape

We've built this comparison based on the following sources:

• StackHawk's official website & product datasheets
• StackHawk's public documentation (docs.stackhawk.com), including the changelog and Business Logic Testing docs
• StackHawk's public launch announcements and press coverage
• StackHawk's publicly accessible demos on YouTube
• Feedback from security professionals

If something here is inaccurate or out of date, tell us, and we'll correct it.

Why this comparison was rewritten

StackHawk repositioned in 2026. It's no longer a developer-first DAST tool: it's now built on attack surface discovery from source code, runtime testing in CI/CD, and program-level oversight. In December 2025 it added Business Logic Testing for multi-user BOLA and BFLA detection, and through 2026 it shipped agent skills for Claude Code, Cursor, Codex, Copilot, and Antigravity.

Both tools now touch multi-user authorization testing. But the products differ on two axes, not one. How deep testing goes: StackHawk's Business Logic Testing is a cross-user replay check for BOLA and BFLA, scoped to staging and test environments. Escape runs business-logic-aware DAST on every build, then layers AI pentesting that chains multi-step attack paths and proves exploitability with exploration graphs, screenshots, and reproduction steps. What testing reaches: StackHawk's discovery is bounded by the repositories you connect. Escape discovers the application layer from both inside (e.g., repos) and outside (APIs, SPAs, AI apps), making testing coverage more complete and easier to verify within the platform.

TL;DR

StackHawk

Pros

✅ Attack surface discovery from source code, with OpenAPI specs generated automatically from route definitions in frameworks like Express, Spring, Django, and Rails

✅ Deep integration into coding-agent workflows: agent skills for Claude Code, Cursor, Codex, Copilot, and Antigravity that can run a scan, parse findings, patch code, and verify the fix before a PR opens

✅ Broad protocol coverage including REST, GraphQL, SOAP, and gRPC

✅  Configuration lives in stackhawk.yml in version control, which engineering teams tend to like

✅ Offers scalable pricing plans suitable for startups and growing teams without significant infrastructure investment

Cons

❌ Discovery is anchored to connected source repositories. Applications you don't have code access to (ex., acquired business units, contractor builds, third-party deployments) aren't in scope

❌ Reliance on ZAP logic & Limited coverage for business logic vulnerabilities (Cross-profile BOLA/BFLA only through additional plugins)

❌ No equivalent to continuous AI pentesting or external attack surface monitoring, you'd have to pair it with something else

❌ Custom security tests require writing JavaScript or Kotlin scan functions rather than declarative config

❌ StackHawk's prioritization is based on the OWASP Risk Rating Methodology. The OWASP Risk Rating Methodology primarily focuses on the technical aspects of security issues. It may not take into account the specific context of your application, its users, or your business objectives. 

❌ While it could be good for small to mid-sized teams, larger enterprises might find its capabilities insufficient for extensive or highly customized needs

Escape

Pros

✅ Proprietary business logic testing algorithm for APIs, SPAs and microservices that authenticates as multiple real users and attempts cross-user and cross-role access, detecting BOLA, IDOR, and access control issues

✅ Agent-driven authentication from a single natural-language instruction handles multi-step flows, redirects, and pop-ups. Supports browser/form login, OAuth client-credentials and auth-code flows, AWS Cognito, SSO, SAML, and scripted presets. Everything compiles to editable YAML

✅ Dedicated GraphQL DoS and complexity testing: recursive and cyclic queries, recursive fragments, alias and batch limits, field duplication, directive overloading, plus introspection and access-control checks

✅ Detailed coverage and logs pages with screenshots and proof of authentication for multiple users that allow for a quick understanding of whether all applications and API routes were tested properly

✅ Developer-ready remediation code snippets that are tailored to each development framework, fast-tracking patching and significantly improving efficiency

✅ Prioritization by business context, data sensitivity, and exposure, plus a compliance matrix for a unified view across frameworks

✅ One platform covering External Network Pentesting, DAST, and AI pentesting rather than separate tools

Cons

❌ Advanced feature sets like custom security rules may require specialized knowledge, potentially presenting a learning curve for some users.

❌ Number of integrations with some of the operational tools can be limited

Let's zoom in on the details: StackHawk vs Escape

You can find detailed comparison between StackHawk and Escape below:

Business logic and authorization testing

Until recently, this was the clearest line between the two products. It isn't anymore. But the detail matters, so this section is built from StackHawk's own documentation rather than their launch messaging.

What StackHawk's Business Logic Testing does

Launched in December 2025, it automates multi-user authorization testing. You configure multiple authentication profiles in stackhawk.yml and HawkScan:

1. Crawls endpoints with each profile, capturing resource identifiers (user IDs, order IDs, document references) from API responses
2. Attempts to read resources discovered by one profile using another profile's credentials (cross-profile BOLA)
3. Attempts mutating operations across profile boundaries (POST, PUT, DELETE) testing whether unprivileged users can perform privileged actions (cross-profile BFLA)

An isPrivileged: true flag marks administrative accounts so vertical escalation gets tested specifically. Findings are prefixed with the profile they were found under, so a vulnerability found as regularUser is distinguishable from the same one found as adminUser. It's a sound design and it finds real authorization flaws on every build.

The documented prerequisites:

• An OpenAPI specification is mandatory. Multi-profile testing uses it to generate the crawl plan
• Pre-provisioned test accounts for each authorization level, with valid credentials
• A test environment with representative data: resources owned by each test account, or the cross-access attempts are meaningless
• Hardcoded globalParameters per profile for tenant IDs and user IDs where smart crawling can't discover them
• Staging only. StackHawk's docs are explicit: always run these scans against staging or test environments, never against production systems with real customer data

How Escape approaches the same problem

The difference isn't whether a specification is available. Escape works best with one too, and reconstructs and monitors schemas via ASM where it isn't. The difference is how deep the testing goes once you have it.

Tier one: business-logic-aware DAST. Escape's business logic algorithm authenticates as multiple real users and explores the running application, using feedback-driven exploration and scalar inference to work out data relationships from actual responses. Multi-user and multi-role authentication is part of how every scan runs rather than a mode that replaces the rest of your coverage. And the scope is wider than cross-user access: auth flows, authorization boundaries, and input handling tested against the real application architecture. According to docs, Escape covers thousands of test scenarios across 404 vulnerability categories. Each test contains different attack scenarios and payloads that's adapted to the logic of your application.

The scope tells you more than the naming does. StackHawk's documented detection classes here are BOLA (can a user read an object they shouldn't), BOPLA (can they modify a property they shouldn't), and BFLA (can they call a function they shouldn't). All three are the same question asked three ways: is this identity permitted to touch this API object, property, or function? That's API-layer authorization testing, and it's a real and important family.

Business logic flaws are a wider category than authorization. They live in sequences and state, not only in access checks:

• A checkout that recalculates a total from a client-supplied price
• A multi-step flow that can be entered at step three, skipping validation at step two
• A quantity field that accepts a negative number and issues a refund
• A coupon that stacks when the rules say it shouldn't
• A rate limit that resets when a parameter changes

Escape covers both. The authorization family, tested across multiple real users and roles. And the workflow family, tested against the application layer Escape maps in the first place: APIs, SPAs, and AI-backed apps rather than API endpoints alone.

Tier two: AI pentesting. This is the layer StackHawk has no equivalent for. Escape's AI pentesting runs human-grade assessments that go past single-hop checks:

• Attack-path chaining. Multi-step paths where an information disclosure enables an authorization bypass which enables data access
• Proof of exploitability. Exploration graphs, screenshots, and multi-step reproduction showing exactly how the vulnerability was exploited, so engineers trust the finding and fix it rather than debating it
• Regression testing. Ingest findings from previous Escape's or manual pentests and bug bounty reports, then test for them continuously at scale
• Public and private environments. Assessments against internal apps without granting access to external consultants or bug hunters

The clean way to hold the two products in your head: StackHawk's Business Logic Testing is a DAST-tier capability, and a reasonable one. Escape answers at DAST tier and at pentest tier. If your requirement is "catch cross-user access flaws before merge," StackHawk does that. If it's "find the flaws that only show up when you chain three steps together, and prove them to a developer," that's a different tier of tool.

Deployment

You've decided to scan your APIs & Single Page Apps for vulnerabilities. Now what? Great security platforms allow you to start right away, so you don't have to wait or include multiple team members to access your security posture.

StackHawk

One of the differences with Escape is that StackHawk itself is not a SaaS scanner that runs entirely from the cloud, but it does allow cloud-based deployments through CI/CD and containerized environments. You have several deployment options:

• Local deployment: according to StackHawk documentation, first, you are required to install HawkScan in your local environment via Homebrew. Can lead to security inconsistencies if team members leave or change devices.
• In CI/CD: StackHawk is designed to run within CI/CD workflows. It integrates with: GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, Azure DevOps
• Docker & Kubernetes: Runs within containers but does not perform full Kubernetes-wide security scanning
• Coding agents: agent skills install into Claude Code, Cursor, Codex, Copilot, and Antigravity

Escape

• Agentless Deployment: Escape provides an agentless security solution, eliminating the need for installing agents on servers or applications. This approach simplifies deployment and reduces potential performance overhead. You can test all your exposed APIs, SPAs and microservices without the need for deployment. Either enter the domain name or connect the integrations you need.
• CI/CD Integration: Escape integrates seamlessly into CI/CD pipelines, enabling automated security testing during the development process. It integrates with: GitHub Actions, npm package, Public API, GitLab CI/CD, Bitbucket Pipelines, CircleCI, Jenkins, Azure DevOps
  
• Private Locations: Escape's Private Locations enable secure detection, fingerprinting, and scanning of internal applications behind your organization's firewall or VPN. This is achieved through the Escape Repeater, a lightweight, open-source tool developed in Golang. The Repeater establishes a reverse tunnel between Escape and your internal network, providing a secure channel for performing scans and retrieving results.
  • Deployment Methods:
    • Docker Deployment: The Repeater can be deployed using Docker CLI, Docker Compose, or other container orchestration tools.
    • Kubernetes Deployment: For Kubernetes environments, the Repeater can be deployed as a Kubernetes deployment, allowing it to access resources within your cluster.
• If a scan profile is already configured (not initial deployment), you can easily re-run the scan inside your coding agent workflows (Claude Code, Cursor, Codex, Copilot), but it doesn't support initial deployment via AI coding platforms.

Coverage: can you prove what was actually tested?

This is the question that can be decisive in DAST evaluations. A scanner that reports less findings has either secured your application or failed to reach it, and from the outside those look identical. Teams running bake-offs figure this out quickly, the common approach is to run each tool against the same target and compare crawl reports.

What Escape shows. Every scan produces coverage views alongside the findings:

• Web app coverage: every page reached during the crawl, with screenshots where available
• API coverage: every endpoint discovered and requested, the payloads tried, the status code returned, and whether authentication succeeded
• Per-endpoint testing summary: for each endpoint, what was tested and why. This exists specifically so that a clean result is still evidence: even when nothing is found, you can see what was attempted rather than taking silence on trust
• Per-role coverage: which user reached which features, so multi-role testing is verifiable rather than assumed
• Scan logs: the requests sent, the reasoning behind them, and the errors hit. When authentication breaks or a WAF blocks the scanner mid-run, this is where you see it rather than discovering it in a report six weeks later

There's a fourth thing coverage does that's easy to miss: it makes results comparable across runs. Escape re-checks findings from previous scans at the end of each run, so a vulnerability that disappears has been confirmed fixed rather than just missed this time.

How StackHawk approaches it. Oversight reports coverage at the program level, which applications have been tested, which haven't, and where the gaps sit across your portfolio. That's genuinely useful for answering "are we testing everything we should be" to a CISO or an auditor.

If you want to view detailed logs, you can download and print HawkScan log files to your console using the StackHawk CLI by passing your scan ID as an argument. It can answer the question of what the scanner actually reached, but it requires an additional review.

Custom security tests

Both StackHawk and Escape offer unique approaches to custom security tests. Below, you can find the detailed comparison:

Remediation guidance for developers

StackHawk's bet is that the coding agent should fix it. Their agent skills let Claude Code, Cursor, Codex, or Copilot run a scan against the running app, read the findings, write the fix using full source context, and re-scan to confirm the vulnerability is gone. Where an engineering org has genuinely adopted agentic development, this is a strong workflow.

Escape's bet is that the security team owns the finding, can verify it, and the developer needs to trust it. Every vulnerability comes with a remediation code snippet tailored to the specific framework, plus evidence of how it was exploited. Findings route into Jira through bi-directional integration with status sync and pre-filled remediation steps, so the AppSec team keeps a view of what's actually been fixed rather than what was assigned. That being said, you can still allow developers to fix vulnerabilities in your IDE via MCP. Here is a step-by-step workflow.

Which bet fits depends on your org. If engineering has standardised on coding agents and trusts them to prioritize and merge security fixes, StackHawk's loop might be shorter. If your security team needs portfolio-level evidence of remediation across business units with mixed maturity, Escape's model gives you better control.

Enterprise scale: what happens at 200 applications

Additional differences in DAST tools show up at two hundred applications, spread across business units with different stacks, different maturity, and a central security team of three or four people. Three things decide whether a tool survives that.

1. How much human effort each new application costs

StackHawk's model is configuration-per-application: each app needs its own stackhawk.yml, its own authentication setup, its own spec, and someone to maintain all three as the app changes. That configuration living in version control is genuinely good practice, and for an engineering team that owns its own repo it's close to zero friction.

It's a different story when a central security team is responsible for coverage across business units it doesn't staff. Then every application is a negotiation with a team that has its own roadmap, and onboarding effort scales linearly with the estate.

Escape inverts the order. Attack surface management discovers the assets, those assets feed scan profiles directly, and AI pentesting's multi-step findings are integrated into the regression testing loop. Scanning is agentless, so nothing is installed per application. Findings route to the team that owns the asset with context attached, which means the central team isn't the bottleneck for triage either.

2. Whether the platform can be operated programmatically

At scale, clicking through a UI stops being viable. Both tools are configurable as code, in different directions: StackHawk through stackhawk.yml in each repository, Escape through a public API, CLI, and MCP server for managing profiles, triggering scans, and pulling results into internal reporting. Escape also supports role-based access control with custom roles, so business units can be given scoped visibility without exposing the whole estate.

As of August 18, StackHawk has finally introduced team ownership assignment either by app or via API.

Prioritization and compliance

StackHawk's prioritization is based on the OWASP Risk Rating Methodology. The OWASP Risk Rating Methodology primarily focuses on the technical aspects of security issues, such as their impact and exploitability. It may not take into account the specific context of your application, or your business objectives. As a result, it may not align perfectly with your organization's risk tolerance or priorities.

With Escape, each remediation comes with a detailed explanation of why a particular vulnerability is a high, medium, or low risk in your specific context.

Scoring and categorization take into account factors such as

• whether they can be reproduced with or without authentication,
• if the application or endpoint publicly exposed on the internet
• if the API schema is public

This detailed scoring and categorization system will help you make informed decisions about which vulnerabilities should be addressed first and allocate your resources efficiently. It prevents unnecessary panic over low-risk issues and ensures that critical high-risk vulnerabilities that are important to your business are promptly remediated.

Application and API discovery: source code vs the outside view

Both StackHawk and Escape provide API discovery solutions, but their approaches, depth of discovery, and enrichment capabilities differ significantly.

StackHawk:

• Discovers applications only within code repositories.
• Focuses on scanning application source code and configurations to extract API endpoints.
• Primarily used for internal development and security testing during the software development lifecycle (SDLC).
• Identifies API endpoints but does not offer extensive classification.

Escape:

Unlike StackHawk, Escape goes beyond code repositories by performing external scanning to discover publicly exposed APIs. Escape starts from the attacker's position. Escape's Attack Surface Management runs three layers of discovery in parallel:

• Passive DNS and certificate-transparency enumeration, which surfaces forgotten subdomains and hosts nothing links to
• Service fingerprinting, identifying the framework and inferring the likely shape of each API
• Traffic inference, reconciling routes actually observed during an authenticated scan against the declared schema, and flagging the delta

Escape integrates with API gateways (ex. Axway, Kong Gateway and Kong Connect and Mulesoft..), cloud providers (ex. AWS, Azure), other security solutions like Wiz, and CI/CD pipelines to enrich the inventory with additional data. To scan internal APIs behind your organization's firewall or VPN, you can connect Escape's repeater proxy.

It also classifies web apps and APIs based on business context, risk level, and data sensitivity.

With Escape, to get started all you need is to put in your main domain name, so you can build inventory without any intervention from the development team. Simplified deployment processes minimize the need for specialized knowledge and extensive internal resources.

Conclusion

We hope this comparison was useful. So, let's wrap it up!

While both Escape and StackHawk offer valuable features, Escape stands out with its depth of business logic testing, scalability for enterprise environments, and support for AI-enabled triage and remediation. These capabilities enable organizations to identify and address vulnerabilities more efficiently, without the need for manual configurations or extensive maintenance. StackHawk has built a coherent product for a specific shape of organization: one engineering org, clean repo governance, coding agents in the workflow, security running inside the pull request.

To put it simply, if you work in a chaotic environment and your goal is to attain comprehensive security observability and accelerate the remediation process within your development team, Escape should be your top choice. You can book a demo with our team if you want to learn more.

Frequently asked questions

Is StackHawk built on OWASP ZAP?

Yes. HawkScan, StackHawk's scanner, is built on ZAP. StackHawk has added substantial capability on top (source-derived discovery, Business Logic Testing, agent integrations), but the underlying scanning engine's lineage is not a proprietary engine.

Does StackHawk find shadow APIs?

It finds undocumented endpoints that exist in source code you've connected, by reading route definitions and comparing them against your OpenAPI spec. It does not discover applications or APIs that live outside connected repositories. Externally exposed assets with no repo access require a different discovery method.

Can StackHawk test for BOLA?

Yes. Business Logic Testing, launched December 2025, runs cross-profile BOLA and BFLA testing using multiple configured authentication profiles, covering both horizontal and vertical authorization.

Does Escape require access to my source code?

No. Escape discovers and tests from the outside using passive DNS, certificate-transparency logs, service fingerprinting, and traffic inference. Repository integrations are optional enrichment, not a prerequisite. An API specification improves coverage, as it does for any DAST tool, and Escape reconstructs and monitors schemas where one isn't maintained.

What's the difference between StackHawk's Business Logic Testing and Escape's?

StackHawk's covers API-layer authorization — BOLA, BOPLA, and BFLA — via cross-user replay, documented for staging environments. Escape tests business logic more broadly at the DAST tier — auth flows, authorization boundaries, and workflow logic such as whether a payment flow enforces its pricing rules — then adds an AI pentesting tier that chains multi-step attack paths and proves exploitability. They address the same flaw family at different depths.

How do I compare DAST coverage between two tools?

Run both against the same application and compare what each one reports reaching, not just what each one reports finding. Ask each vendor for a list of pages crawled and endpoints requested, with status codes and authentication results. A tool that can't produce that list is asking you to trust a clean result you can't verify.

Which is better for GraphQL?

Escape runs a dedicated GraphQL suite covering DoS and complexity attacks: recursive and cyclic queries, recursive fragments, alias and batch limits, field duplication, directive overloading, alongside introspection and access-control checks. StackHawk tests GraphQL through introspection using its general test suite.

Can I use both?

Yes, some might consider both. StackHawk in the pull request, Escape on the external surface, and for its depth with AI pentesting tooling. The overlap is narrower than the feature lists suggest.

💡Want to learn more? Discover the following articles:

• Escape vs Burp Suite Enterprise
• Escape vs Rapid7
• Escape vs Noname Security
• Escape vs Invicti
• Reinventing API security: Why Escape is better than traditional DAST tools