Catch high-risk code flaws before attackers do
We analyze Android and iOS codebases for security weaknesses before release. Your team gets validated findings with clear remediation guidance.
- OWASP MASVS-aligned checks
- CI/CD-ready integration
- Developer-friendly findings
Coverage Snapshot
Release Gate Ready- Repositories
- 3
- Active Rules
- 120+
- Languages
- 4
Included checks
- MASVS control coverage mapping
- Secret and credential exposure detection
- Crypto misuse and weak algorithm checks
- CI/CD gate policy compatibility
What we analyze
Authentication and Authorization
Detect weak auth logic, missing access checks, and privilege escalation paths.
Secrets Exposure
Find hardcoded keys, tokens, and credentials across source and config files.
Cryptography Misuse
Flag unsafe crypto primitives, weak key handling, and improper randomization.
Network Security
Identify TLS misuse, pinning issues, and insecure request handling code.
Data-at-Rest Risks
Review local storage patterns for plaintext secrets and weak protection.
Business Logic Risks
Surface risky code flows in payments, entitlement checks, and abuse paths.
Workflow
How analysis runs from scope to remediation
Scope Setup
Day 1Map repos, modules, and rule packs based on your release risk profile.
Automated Scanning
Days 2-3Run targeted static analysis across source, configs, and dependencies.
Manual Validation
Days 3-4Security engineers verify high-impact findings and remove false positives.
Report and Fix Plan
Days 4-5Deliver prioritized issues with code references and actionable fix guidance.
Risk Visibility
Example severity distribution
- Critical
- 3 findings
- High
- 7 findings
- Medium
- 12 findings
- Low
- 9 findings
Deliverables
What your team receives
- Validated findings with exact file and line references
- Practical remediation guidance per issue
- Module-level risk map for release planning
- Optional re-scan checklist after fixes
FAQ
Questions teams ask before getting started
Do you cover both Android and iOS codebases?
Yes. We analyze Kotlin/Java and Swift/Objective-C projects, including shared modules and configuration files.
How fast can we get initial results?
Most teams receive the first validated findings within a few days, depending on codebase size and scope.
How do you handle false positives?
We manually validate high-impact findings and tune rulesets so your team can focus on real risk.
Can this be integrated into CI/CD?
Yes. We can define gate conditions and reporting formats that fit your existing pipeline.
Next Step
Make static analysis part of your release gate
Share your repository scope and we will return a clear analysis plan with timeline and outputs.