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Attack Surface Analysis for johnlui/swift-on-ios

Attack Surface: CGO Memory Corruption

Description: Vulnerabilities arising from incorrect memory management across the CGO (C-Go) boundary between Swift and Go. This includes buffer overflows, use-after-free errors, double-frees, and other memory corruption issues. How swift-on-ios Contributes: swift-on-ios fundamentally relies on CGO to enable communication between Swift and Go. This creates a direct pathway for memory corruption vulnerabilities if data is not handled correctly across the language boundary. This is the core attack surface introduced by the project. Example: A Swift function passes a string to a Go function. The Go function incorrectly calculates the string's length and writes past the allocated buffer, overwriting adjacent memory. Impact: Arbitrary code execution, application crashes, data corruption, denial of service. Risk Severity: Critical Mitigation Strategies: * Fuzz Testing: Extensive fuzz testing of the CGO interface using tools like go-fuzz and AFL is crucial. This involves providing a wide range of random inputs to the interface to trigger potential memory errors. * Memory Safety Tools: Use memory safety tools like AddressSanitizer (ASan) and MemorySanitizer (MSan) during development and testing to detect memory errors at runtime. * Code Review: Rigorous code review of the CGO interface, focusing on memory allocation, deallocation, and pointer arithmetic. Multiple reviewers should be involved. * Minimize Data Transfer: Reduce the amount and complexity of data passed across the CGO boundary. Favor simple data types (integers, booleans) over complex structures or strings when possible. * Safe String Handling: If strings must be passed, use well-defined and safe string handling mechanisms (e.g., length-prefixed strings) and avoid direct pointer manipulation. * Defensive Programming: Implement checks on both the Swift and Go sides to validate data sizes and prevent out-of-bounds access.

Attack Surface: CGO Type Confusion

Description: Vulnerabilities caused by mismatches in data types between Swift and Go, leading to incorrect interpretation of data and potential bypass of type safety checks. How swift-on-ios Contributes: The CGO interface requires careful mapping of data types between Swift and Go. swift-on-ios facilitates this interaction, and errors in this mapping, inherent to the project's design, can lead to type confusion. Example: A Swift Int is passed to a Go function that expects a uintptr. The Go function might misinterpret the Int value, leading to unexpected behavior or security vulnerabilities. Impact: Potentially arbitrary code execution (depending on how the type confusion is exploited), data corruption, unexpected program behavior. Risk Severity: High Mitigation Strategies: * Strict Type Definitions: Use explicit and well-defined type mappings between Swift and Go. Avoid ambiguous or implicit type conversions. * Code Generation: Consider using code generation tools to automatically generate the CGO interface code, reducing the risk of manual errors in type mapping. * Validation: Implement runtime checks on both sides of the CGO boundary to validate the types of data being passed. * Testing: Thoroughly test the CGO interface with different data types and edge cases to ensure correct type handling.

Attack Surface: Malicious Go Dependency

Description: A compromised or malicious Go module introduced into the project's dependency tree. This is a supply-chain attack. How swift-on-ios Contributes: swift-on-ios itself uses Go modules for dependency management. The project's reliance on the Go ecosystem introduces this risk. Example: A seemingly benign Go module used for logging, and included as a dependency of swift-on-ios, is compromised and modified to include malicious code that exfiltrates data. Impact: Arbitrary code execution, data exfiltration, compromise of the entire application. Risk Severity: High Mitigation Strategies: * Dependency Auditing: Regularly audit all Go module dependencies of swift-on-ios using tools like go mod verify and go mod why. * Vulnerability Scanning: Use dependency scanning tools (e.g., Snyk, Dependabot, or Go's built-in vulnerability scanning) to automatically identify known vulnerabilities in swift-on-ios's dependencies. * Private Proxy: Consider using a private Go module proxy to control and audit the dependencies used by swift-on-ios. * Vendor Dependencies: Vendor dependencies (copy them into the swift-on-ios project's repository) to have a known-good copy and to prevent unexpected changes from upstream. * Minimal Dependencies: Minimize the number of dependencies in swift-on-ios to reduce the attack surface.

Description: The build environment (e.g., a developer's machine or CI/CD server) is compromised, allowing an attacker to inject malicious code into the build process of the Go part of swift-on-ios. How swift-on-ios Contributes: swift-on-ios relies on custom build scripts and the Go toolchain for its Go component. A compromised build environment could modify these scripts or the toolchain, directly affecting the compiled output of swift-on-ios. Example: An attacker gains access to a developer's machine and modifies the build.sh script (or equivalent) used to build the Go component of swift-on-ios to include a backdoor. Impact: Arbitrary code execution, backdoor in the application, compromise of the entire application. Risk Severity: High Mitigation Strategies: * Secure Build Server: Use a secure and isolated build environment (e.g., a CI/CD pipeline with strong access controls) for building swift-on-ios. * Code Signing: Digitally sign build scripts used for swift-on-ios and verify the signature before execution. * Build Artifact Verification: Verify the integrity of build artifacts of swift-on-ios (e.g., using checksums) before deployment or integration. * Developer Machine Security: Ensure that developers' machines used to build or contribute to swift-on-ios are secure and protected from malware. * Two-Factor Authentication: Enforce two-factor authentication for access to build systems and code repositories related to swift-on-ios.