Attack Surface: State Deserialization Vulnerabilities
- Description: Workflow state is serialized for persistence and deserialized when workflows are resumed. Vulnerabilities in the deserialization process can lead to code execution or denial of service.
- Workflow-Kotlin Contribution:
workflow-kotlin
manages workflow state serialization and deserialization internally. While Kotlin serialization is generally safer, misconfigurations or vulnerabilities in custom serialization logic (if used withinworkflow-kotlin
context or extensions) can introduce risks. The library's state management directly relies on deserialization. - Example: A custom serialization mechanism is incorrectly configured within a
workflow-kotlin
application, making it vulnerable to deserialization attacks. An attacker crafts a malicious serialized state payload that, when deserialized byworkflow-kotlin
, executes arbitrary code on the server. - Impact: Remote Code Execution (RCE), Denial of Service (DoS).
- Risk Severity: Critical
- Mitigation Strategies:
- Use Secure Serialization Libraries: Rely on well-vetted and secure serialization libraries (like Kotlin Serialization as intended by
workflow-kotlin
). Avoid custom, potentially vulnerable serialization implementations within the workflow context. - Input Validation on Deserialized Data: Validate the integrity and expected structure of deserialized workflow state before using it in workflow logic. While
workflow-kotlin
handles this internally to some extent, ensure custom state handling or extensions also incorporate validation. - Regularly Update Dependencies: Keep
workflow-kotlin
and its serialization library dependencies up-to-date to patch known vulnerabilities. - Consider Signed Serialization: Implement mechanisms to sign serialized state to ensure integrity and prevent tampering, especially if custom state handling is involved.
- Use Secure Serialization Libraries: Rely on well-vetted and secure serialization libraries (like Kotlin Serialization as intended by
Attack Surface: Data Injection via Worker Inputs/Outputs
- Description: Workers interact with workflows by exchanging data. If worker inputs or outputs are not properly validated and sanitized, malicious data can be injected, leading to various attacks.
- Workflow-Kotlin Contribution:
workflow-kotlin
workflows heavily rely on Workers for external interactions. The data flow orchestrated by the workflow framework between workflows and workers is a critical point where vulnerabilities can be introduced if not handled securely.workflow-kotlin
's design necessitates this worker interaction, making it a key contributor to this attack surface in workflow-based applications. - Example: A worker receives user-provided input as part of its
doWork
function and passes it back to the workflow without sanitization. The workflow then uses this unsanitized data to construct a database query, leading to SQL injection. The workflow framework facilitates this data flow and potential vulnerability. - Impact: Cross-Site Scripting (XSS), SQL Injection, Command Injection, business logic bypass, data corruption.
- Risk Severity: High
- Mitigation Strategies:
- Input Validation and Sanitization: Thoroughly validate and sanitize all data received by workers (inputs) and data passed back to workflows (outputs). Apply context-appropriate encoding and escaping at the worker level and within workflow logic that processes worker results.
- Principle of Least Privilege for Workers: Grant workers only the necessary permissions to access external resources. Avoid running workers with overly broad privileges. This limits the impact if a worker is compromised or misused through data injection.
- Secure Communication Channels: If workers communicate over a network, use secure communication protocols (e.g., TLS/SSL) to protect data in transit. This is relevant if
workflow-kotlin
is used in a distributed worker setup. - Output Encoding: Encode worker outputs appropriately before using them in contexts where they could be interpreted as code (e.g., in web pages, database queries, system commands) within the workflow logic.
Attack Surface: Insecure Workflow State Persistence
- Description: Workflow state, potentially containing sensitive data, is stored in a persistent storage. If this storage is not properly secured, it becomes an attack surface.
- Workflow-Kotlin Contribution:
workflow-kotlin
inherently relies on state persistence to manage long-running workflows. The library's core functionality mandates state persistence, making the security of this storage a direct and critical concern for applications built with it. - Example: Workflow state is stored in a database with default credentials or without proper access controls. An attacker gains access to the database and reads sensitive user data stored within workflow states managed by
workflow-kotlin
. - Impact: Data breaches, confidentiality violation, potential data manipulation.
- Risk Severity: High
- Mitigation Strategies:
- Secure Storage Configuration: Implement strong access controls, authentication, and authorization for the state persistence layer (database, file system, etc.).
- Encryption at Rest: Encrypt workflow state data when it is stored persistently.
- Regular Security Audits: Periodically audit the security configuration of the state persistence layer.
- Principle of Least Privilege: Grant only necessary permissions to services and users accessing the state persistence layer. Ensure
workflow-kotlin
runtime environment also adheres to least privilege.