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Android apps carry more sensitive data than most people realize: login tokens, location history, payment details, health readings, photos and contacts. At the same time, the average app is stitched together from first-party Kotlin and Java, a pile of third-party SDKs, and back-end API calls. A single insecure pattern, such as a hard-coded API key, a WebView that trusts any input, or user data written to a log, can expose every user on every phone that installs the app.
Static application security testing (SAST) examines your source code, and in some cases compiled code, for those weaknesses before the app ships. It won’t replace a full penetration test or runtime testing, but it is the cheapest place to catch security bugs, because it runs automatically on every change. This guide is for Android developers, mobile leads and security engineers who want to know which static security tools actually support Android’s languages in 2026, how they fit into a Gradle and CI workflow, and what they cost.
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What Static Security Tools Look For in Android Code
Before comparing products, it helps to know the kinds of problems static tools are good at spotting in an Android codebase:
- Hard-coded secrets: API keys, tokens and passwords written into source or resource files.
- Injection paths: untrusted data, such as input from another app or a server response, flowing into queries, file paths or WebView content without validation.
- Sensitive data exposure: personal data written to logs or stored without protection.
- Risky configuration in code: patterns such as trusting every certificate or enabling features that widen the attack surface.
Data-flow and taint analysis is what connects a source of untrusted data to a dangerous sink, which is why the deeper tools below emphasize it.
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How We Chose These Tools
We used vendor documentation, product pages and pricing pages, not hands-on benchmark results, so there are no detection-rate claims here. Our criteria:
- Documented support for Java or Kotlin, or a documented mobile scanning capability.
- A security focus: vulnerability detection mapped to weakness classes, data-flow or taint analysis, or secret detection.
- A clear place in an Android workflow: IDE, CI, pull request checks or a central security platform.
- Current status and ownership checked against official sources.
- Pricing transparency, or an honest note when pricing is quote-only.
A note on scope: this list covers static, code-level testing. Dynamic testing of a running app on a device is a separate discipline, and a mature mobile security program uses both.
Comparison Table
| Tool | Best For | Deployment | Languages/Platforms | Free Option |
|---|---|---|---|---|
| OpenText Fortify | Enterprise mobile security programs | Self-hosted, cloud, SaaS, IDE, CI | 45+ incl. Java, Kotlin, Swift | Unconfirmed |
| Veracode | Scanning third-party code without source | SaaS, IDE, CI | 100+ languages/frameworks claimed | No |
| Checkmarx One | One platform for SAST, secrets and SCA | SaaS, IDE, CI; on-prem SAST | Broad multi-language incl. Java | No |
| CodeQL | Kotlin data-flow analysis on GitHub | GitHub, Actions, CLI | Java/Kotlin, Swift and more | Yes, public repos |
| Snyk Code | Real-time feedback in the IDE | SaaS, IDE, CI, repo integrations | Java, JS/TS, Python, C#, Go, PHP and more | Yes, 100 tests/month |
| Semgrep | Custom rules for your app’s APIs | CLI, CI, IDE, SaaS | 30+ incl. Java | Yes, up to 10 contributors |
| GitLab SAST | Android teams on GitLab CI | CI-native, SaaS or self-managed | 13+ incl. Java/Kotlin | Yes, basic SAST |
| Perforce Klocwork | Large apps with native C/C++ code | Self-hosted server, IDE, CLI/REST | C, C++, Java, Kotlin and more | No, trial |
| GitHub secret scanning | Free push protection on public repos | Built into GitHub, Actions | Language-agnostic | Yes, all public repos |
| GitGuardian | Finding leaked keys and secrets | SaaS, CLI (ggshield), CI; self-hosted Enterprise | Language-agnostic | Yes, up to 25 developers |
1. OpenText Fortify: Best for Enterprise Mobile Security Programs
What it is: Fortify is a long-established SAST product, owned by OpenText since 2023 after stints at HP and Micro Focus. It covers 45+ languages, including Java, Kotlin and Swift, and its scope explicitly includes mobile alongside web, cloud-native, IaC, container and API scanning.
How it works in practice: choose self-hosted, private or public cloud, or SaaS through Fortify on Demand. Developers get findings in Visual Studio, Eclipse, VS Code or JetBrains IDEs, and scans run in CI/CD. Results map to OWASP, CWE and NIST, which helps when an app must pass a security review.
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- Static vulnerability scanning mapped to OWASP, CWE and NIST
- Web, mobile, cloud-native, IaC, container and API scanning
- AI-powered SAST with pluggable-LLM rule tuning
- Pairs with OpenText’s SCA and DAST products
Pros: covers Android and iOS languages, flexible deployment, strong standards mapping. Cons: no public pricing; heavier to run than developer-first tools.
Pricing: check the vendor’s pricing page.
Who should pick it: banks, health apps and enterprises with formal mobile security requirements.
2. Veracode: Best for Scanning Third-Party Code Without Source
What it is: Veracode’s SAST combines source and binary analysis and doesn’t require a full compile or build. Because it can analyze binaries, it can scan third-party code you don’t have source for.
How it works in practice: scans run from the IDE integration or in CI/CD, with results in the SaaS platform. For Android teams, the binary capability matters because much of an app’s code arrives as closed-source libraries. Its patented “Crosscheck” path analysis and CWE-mapped context rules aim to reduce noise.
- SAST without a full build
- Combined source and binary analysis
- “Crosscheck” path analysis
- CWE-mapped noise reduction
Pros: covers code you didn’t write and can’t see. Cons: no free tier; pricing undisclosed; confirm Kotlin framework coverage for your app.
Pricing: custom quote.
Who should pick it: teams whose risk sits largely in third-party components.
3. Checkmarx One: Best for One Platform for SAST, Secrets and SCA
What it is: Checkmarx One is a SaaS application security platform. Its SAST uses the Fusion hybrid rules-and-AI engine, and the same platform covers secrets, IaC, API security, SCA, malicious packages and containers.
How it works in practice: security teams onboard the app, developers see findings in VS Code, JetBrains IDEs, Visual Studio or Eclipse, and scans run in CI/CD. AI remediation agents suggest fixes. A separate on-prem SAST product exists for organizations that can’t use SaaS.
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- SAST via the Fusion engine
- Secrets, IaC and API security scanning
- SCA, malicious-package and container security
- AI remediation agents
Pros: broad coverage in one console, which also suits apps with a web back end. Cons: no free tier, quote-only pricing, and no full public language list.
Pricing: custom quote, modular by seat, application or usage.
Who should pick it: organizations securing the Android app and its back-end services together.
4. CodeQL: Best for Kotlin Data-Flow Analysis on GitHub
What it is: CodeQL is GitHub’s semantic analysis engine behind GitHub code scanning, with support for Java/Kotlin and Swift among other languages.
How it works in practice: enable code scanning in the repository and CodeQL runs in GitHub Actions, posting alerts on pull requests. Its data-flow queries trace untrusted input, for example data from an intent or a network response, to sensitive operations. Copilot Autofix proposes fixes, and custom query packs let you model your own APIs.
- Semantic and data-flow analysis
- Pull request code scanning alerts
- Copilot Autofix
- Default and custom query packs
Pros: Kotlin support, deep analysis, free for public repos. Cons: private repos need GitHub Code Security; the CLI needs a commercial licence for closed-source use.
Pricing: free on public repos; GitHub Code Security $30 per active committer per month.
Who should pick it: Android teams on GitHub, and open-source Android apps.
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What it is: Snyk Code is Snyk’s SAST product. It’s often confused with Snyk Open Source, which scans dependencies; Snyk Code scans your own code.
How it works in practice: because it doesn’t need a build, the IDE plugin flags issues as you type. The same scans run in CI and as pull request checks on GitHub, GitLab, Azure and Bitbucket, and Agent Fix suggests AI-generated fixes.
- Build-free, real-time SAST
- AI-powered autofix (Agent Fix)
- Risk-based prioritization
- Jira and PR-check integration
Pros: fastest feedback loop, easy onboarding. Cons: Kotlin isn’t named in the language list we checked, so confirm coverage; the free plan is capped at 100 tests per month.
Pricing: Free $0; Team from $25 per month for about 10 developers; Enterprise credit-based.
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Who should pick it: teams with Java-heavy Android code that want developers to fix issues before commit.
6. Semgrep: Best for Custom Rules for Your App’s APIs
What it is: Semgrep is an open-core static analysis engine. The Community Edition CLI is LGPL-2.1; the paid platform adds cross-file taint analysis, supply chain scanning and secrets detection.
How it works in practice: write rules that look like the code they match: “never enable JavaScript in this WebView without our wrapper,” “don’t log objects of this type,” “always use our encrypted storage helper.” Run them in CI or the IDE, and use the public registry for common rules.
- SAST with cross-file taint analysis (Semgrep Code)
- Supply chain scanning with reachability and SBOM
- Paid secrets scanning
- Custom rule engine and registry
Pros: encodes your own security policies quickly, free for small teams. Cons: Kotlin isn’t named in the list we checked; confirm before relying on it for Kotlin files.
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Pricing: free up to 10 contributors; Team Code $30, Secrets $15 per contributor per month.
Who should pick it: teams with specific security rules they want enforced on every change.
7. GitLab SAST: Best for Android Teams on GitLab CI
What it is: GitLab’s built-in SAST runs in GitLab CI/CD on every commit and supports 13+ languages, including Java/Kotlin. Basic SAST is available in the free Community Edition.
How it works in practice: enable SAST in the pipeline that already builds your APK or app bundle, and findings feed GitLab’s vulnerability triage and tracking. On Ultimate, Advanced SAST adds cross-file taint tracking and GitLab Duo helps flag false positives and open remediation merge requests.
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- Advanced SAST taint tracking (Ultimate)
- Vulnerability triage and tracking
- Duo AI false-positive detection and remediation MRs (Ultimate)
Pros: no new vendor, free basic tier, self-managed option. Cons: deeper analysis needs Ultimate.
Pricing: Free $0, Premium $29 per user per month, Ultimate custom.
Who should pick it: app teams whose CI already runs on GitLab.
8. Perforce Klocwork: Best for Large Apps With Native C/C++ Code
What it is: Klocwork is a SAST tool from Perforce Software (acquired in 2019 via Rogue Wave). It supports C, C++, C#, Java, Kotlin, Python, JavaScript and Rust, which covers both the Kotlin/Java layer and native code built with the NDK.
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- Inter-procedural data-flow analysis
- Differential and incremental scanning
- CERT, CWE, OWASP and other standards checking
- AI-assisted fix suggestions via its VS Code extension
Pros: one analyzer for Kotlin and native code, fast incremental scans. Cons: no free tier and no published pricing.
Pricing: trial only; check the vendor’s pricing page.
Who should pick it: large apps with significant native components, such as games, media or device-management apps.
9. GitGuardian: Best for Finding Leaked Keys and Secrets
What it is: GitGuardian is a secret detection platform from GitGuardian SAS. Its CLI client is ggshield.
How it works in practice: connect repositories for real-time and historical secret detection, run ggshield locally or in CI to catch keys before they’re pushed, and use remediation playbooks with Slack, Jira or ServiceNow. It also monitors public GitHub and offers honeytokens.
- Real-time and historical secret detection
- Public GitHub monitoring
- Honeytokens
- Remediation playbooks
Pros: dedicated to one of the most common mobile mistakes, generous free tier. Cons: business pricing isn’t published; self-hosting is Enterprise-only.
Pricing: free for up to 25 developers; Business and Enterprise by quote.
Who should pick it: any Android team that has ever committed an API key, which is most of them.
10. GitHub Secret Scanning: Best Free Secret Protection for Public Repos
What it is: GitHub secret scanning is GitHub’s built-in detector for credentials committed to repositories. It combines pattern-based detection with AI detection of unstructured secrets, and its push protection blocks pushes that contain secrets.
How it works in practice: on public repositories it is free, and push protection is on by default, so a developer who tries to push a key gets stopped before it lands. For private repositories, the paid GitHub Secret Protection add-on (part of GitHub Advanced Security) enables it. Partner validity checks and leak notifications cover around 150 providers, and custom patterns plus delegated bypass are available as paid features. It is also offered for Azure DevOps through GitHub Advanced Security for Azure DevOps.
- Pattern-based and AI detection of secrets
- Push protection that blocks secrets before they land
- Partner validity checks and leak notifications
- Custom patterns and delegated bypass (paid)
Pros: zero setup on public repos, stops leaks at push time. Cons: GitHub-centric; private repos need a paid add-on whose price isn’t published.
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Pricing: free for all public repositories; private repositories need GitHub Secret Protection (check GitHub’s pricing).
Who should pick it: open-source Android apps and any GitHub-hosted team as a first line of defense.
How to Choose a Static Security Testing Tool for Android
- Check Kotlin support first. CodeQL, Fortify, GitLab SAST and Klocwork explicitly list Kotlin. For other tools, confirm Kotlin coverage before buying.
- Decide who owns findings. Developer-owned: Snyk Code, CodeQL, Semgrep. Security-team-owned: Fortify, Veracode, Checkmarx One.
- Consider third-party code. If SDKs dominate your risk, Veracode’s binary analysis stands out. Pair any SAST tool with dependency scanning.
- Don’t skip secrets. Add GitGuardian, GitHub secret scanning with push protection, or the secrets features in Semgrep and Checkmarx One.
- Native code: if you ship C or C++ libraries, Klocwork and Fortify cover both layers.
Example Setups
Indie developer, open-source app on GitHub: CodeQL code scanning plus GitGuardian’s free tier.
Startup with a fintech or health app: Snyk Code or Semgrep in the IDE and CI, CodeQL or GitLab SAST as the pull request gate, and GitGuardian for secrets.
Enterprise with a formal AppSec team: Fortify, Veracode or Checkmarx One as the system of record, a developer-facing scanner in pull requests, and a dynamic test before major releases.
Frequently Asked Questions
Is SAST Enough to Secure an Android App?
No. SAST catches code-level weaknesses early. You still need dependency scanning, secret detection and, for sensitive apps, dynamic testing of the running app.
Which Tools Support Kotlin?
From the tools here, CodeQL, OpenText Fortify, GitLab SAST and Klocwork list Kotlin explicitly. Check the current language lists for the others.
Are There Free Options?
Yes. CodeQL is free on public repos, GitLab’s basic SAST is free, Semgrep is free for up to 10 contributors, Snyk Code has a 100-test free plan, GitGuardian is free for up to 25 developers, and GitHub secret scanning is free on all public repositories.
Why Did This List Change From Older Mobile Security Roundups?
We only kept tools whose details we could confirm from official sources, and we focused on static, code-level testing. That’s why dynamic-testing products don’t appear here.
How Do I Stop Leaking API Keys in Android Code?
Keep keys out of source where you can, run a secret scanner such as GitGuardian’s ggshield before pushing and in CI, and rotate any key that has ever been committed.
Conclusion
Securing an Android app starts in the code. Pick a SAST tool that explicitly supports Kotlin, put it in the pull request path, add secret detection, and scale up to a platform like Fortify, Veracode or Checkmarx One as your security needs grow. Static testing won’t catch everything, but it will catch the most common mistakes on every change, long before an attacker or an app store reviewer finds them.
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