Objective: Compromise the application using Apache Arrow (Focusing on High-Risk Paths)
-
Goal: Data Corruption/Tampering
- AND
- Gain access to Arrow data stream (input or in-memory)
[CRITICAL]
- OR
- Malicious Client Input
[HIGH RISK]
- Malicious Client Input
- OR
- Modify data in a way that bypasses Arrow's integrity checks (if any)
[CRITICAL]
- OR
- Exploit a vulnerability in Arrow's data validation logic.
[HIGH RISK]
(Especially in custom extensions/UDFs) - Craft malicious Arrow IPC messages.
[HIGH RISK]
(If IPC is used without proper security)- AND
- Understand Arrow IPC format.
- Bypass authentication/authorization for IPC.
[CRITICAL]
- AND
- Exploit vulnerabilities in custom Arrow extensions or UDFs.
[HIGH RISK]
- Exploit a vulnerability in Arrow's data validation logic.
- OR
- Gain access to Arrow data stream (input or in-memory)
- AND
-
Goal: Denial of Service (DoS)
- OR
- Memory Exhaustion:
[HIGH RISK]
- AND
- Trigger excessive memory allocation within Arrow.
[CRITICAL]
- Prevent or slow down memory deallocation.
- Trigger excessive memory allocation within Arrow.
- OR
- Submit extremely large Arrow buffers.
[HIGH RISK]
[CRITICAL]
- Trigger a memory leak within Arrow.
- Exploit vulnerabilities in Arrow's memory pool management.
- Cause excessive data copying within Arrow.
- Submit extremely large Arrow buffers.
- AND
- CPU Exhaustion:
- AND
- Trigger computationally expensive operations within Arrow.
[CRITICAL]
- Trigger computationally expensive operations within Arrow.
- OR
- Submit data that triggers worst-case performance.
[HIGH RISK]
- Exploit vulnerabilities in Arrow's computational kernels.
- Abuse Arrow's parallel processing capabilities.
- Submit data that triggers worst-case performance.
- AND
- Memory Exhaustion:
- OR
-
Goal: Information Disclosure
- OR
- Memory Exposure:
- OR
- Gain access to Arrow's internal memory buffers through a separate vulnerability.
[HIGH RISK]
(If another vulnerability exists)
- Gain access to Arrow's internal memory buffers through a separate vulnerability.
- OR
- Memory Exposure:
- OR
-
Goal: Arbitrary Code Execution (ACE)
- AND
- Gain control of instruction pointer (or equivalent).
[CRITICAL]
- Inject and execute malicious code.
[CRITICAL]
- Gain control of instruction pointer (or equivalent).
- OR
- Buffer Overflow/Underflow:
[HIGH RISK]
(If a vulnerability exists)- AND
- Identify a buffer overflow/underflow vulnerability in Arrow.
[CRITICAL]
- Craft input that triggers the overflow/underflow.
- Redirect execution to attacker-controlled code.
- Identify a buffer overflow/underflow vulnerability in Arrow.
- AND
- Type Confusion:
- AND
- Identify a type confusion vulnerability in Arrow.
[CRITICAL]
- Exploit the type confusion.
- Identify a type confusion vulnerability in Arrow.
- AND
- Use-After-Free:
- AND
- Identify a use-after-free vulnerability in Arrow.
[CRITICAL]
- Exploit the use-after-free.
- Identify a use-after-free vulnerability in Arrow.
- AND
- Vulnerabilities in Deserialization (Arrow IPC or Flight):
[HIGH RISK]
(If used without proper security)- AND
- Identify vulnerabilities in how Arrow deserializes data.
[CRITICAL]
- Craft malicious serialized data.
- Identify vulnerabilities in how Arrow deserializes data.
- AND
- Vulnerabilities in JNI (if used):
- AND
- Arrow is used with Java via JNI.
- Exploit vulnerabilities in the JNI bridge or native code.
[HIGH RISK]
- AND
- Vulnerabilities in custom Arrow extensions or UDFs:
[HIGH RISK]
- AND
- The application uses custom Arrow extensions or UDFs.
- These extensions or UDFs contain vulnerabilities.
[CRITICAL]
- AND
- Buffer Overflow/Underflow:
- AND
Attack Tree Path: Malicious Client Input (Data Corruption/Tampering)
Description: An attacker provides crafted input to the application that, when processed by Arrow, leads to data corruption. This could involve injecting invalid data types, overflowing buffers, or triggering unexpected behavior in Arrow's data handling routines. Mitigation: Rigorous input validation and sanitization. Enforce strict size limits, type checking, and whitelisting of allowed input values.
Attack Tree Path: Exploit a vulnerability in Arrow's data validation logic (Data Corruption/Tampering)
Description: Arrow itself, or more likely, custom extensions or UDFs, may contain flaws in how they validate data. An attacker could exploit these flaws to inject corrupted data that bypasses checks. Mitigation: Thorough code review and testing of Arrow and any custom extensions. Fuzz testing can help uncover these vulnerabilities. Keep Arrow and its dependencies up-to-date.
Attack Tree Path: Craft malicious Arrow IPC messages (Data Corruption/Tampering)
Description: If the application uses Arrow's Inter-Process Communication (IPC), an attacker could craft malicious IPC messages to inject corrupted data. This requires bypassing any authentication or authorization mechanisms protecting the IPC channel. Mitigation: Implement strong authentication and authorization for Arrow IPC. Validate the schema of incoming IPC messages.
Attack Tree Path: Exploit vulnerabilities in custom Arrow extensions or UDFs (Data Corruption/Tampering & ACE)
Description: Custom extensions or User-Defined Functions (UDFs) written to extend Arrow's functionality are a common source of vulnerabilities. These extensions may have weaker security than the core Arrow library. Vulnerabilities here can lead to data corruption or even arbitrary code execution. Mitigation: Thoroughly review and test any custom extensions or UDFs. Apply the same security principles as for the core application code (input validation, memory safety, etc.). Consider using memory-safe languages for extensions.
Attack Tree Path: Submit extremely large Arrow buffers (Denial of Service)
Description: An attacker sends very large Arrow buffers to the application, exceeding its capacity to handle them, leading to memory exhaustion and a denial of service. Mitigation: Enforce strict size limits on incoming Arrow buffers. Implement resource monitoring and alerting to detect excessive memory usage.
Attack Tree Path: Trigger excessive memory allocation within Arrow (Denial of Service)
Description: An attacker crafts input or triggers a sequence of operations that cause Arrow to allocate an excessive amount of memory, leading to a denial of service. This might involve exploiting a memory leak or a vulnerability in Arrow's memory management. Mitigation: Input validation, resource limits, and regular security audits to identify and fix memory leaks or other vulnerabilities.
Attack Tree Path: Submit data that triggers worst-case performance (Denial of Service)
Description: Certain algorithms within Arrow (e.g., sorting, filtering) may have worst-case performance characteristics for specific input data. An attacker could craft input to trigger these worst-case scenarios, consuming excessive CPU resources and causing a denial of service. Mitigation: Understand the performance characteristics of the Arrow algorithms used in the application. Consider input validation or pre-processing to avoid worst-case scenarios. Implement resource monitoring and limits.
Attack Tree Path: Gain access to Arrow's internal memory buffers through a separate vulnerability (Information Disclosure)
Description: If the application has another vulnerability (e.g., a memory leak or buffer overflow in a different component), an attacker might be able to exploit it to gain access to Arrow's internal memory buffers, potentially exposing sensitive data. Mitigation: Address all vulnerabilities in the application, not just those directly related to Arrow. Use memory-safe languages and techniques.
Attack Tree Path: Identify a buffer overflow/underflow vulnerability in Arrow (Arbitrary Code Execution)
Description: A buffer overflow or underflow in Arrow's data handling code could allow an attacker to overwrite memory, potentially leading to arbitrary code execution. This is a classic and highly impactful vulnerability. Mitigation: Use memory-safe languages (e.g., Rust) where possible. If using C++, follow best practices for memory management and use tools like AddressSanitizer (ASan) and Valgrind. Fuzz testing is crucial.
Description: A type confusion vulnerability occurs when Arrow misinterprets one data type as another. This can lead to unexpected behavior and potentially allow an attacker to write to arbitrary memory locations or call unintended functions, leading to code execution. Mitigation: Thorough code review and testing. Fuzz testing can be effective in finding type confusion vulnerabilities.
Description: A use-after-free vulnerability occurs when Arrow uses a memory buffer after it has been freed. This can lead to unpredictable behavior and potentially allow an attacker to control a dangling pointer, leading to code execution. Mitigation: Use memory-safe languages or techniques. If using C++, follow best practices for memory management and use tools like AddressSanitizer (ASan) and Valgrind.
Attack Tree Path: Identify vulnerabilities in how Arrow deserializes data (Arbitrary Code Execution)
Description: If the application uses Arrow IPC or Flight, vulnerabilities in the deserialization process could allow an attacker to inject malicious code. This is particularly dangerous if the deserialization process instantiates arbitrary objects or uses custom deserialization logic. Mitigation: Use a secure serialization format. Validate the schema of incoming data before deserialization. Avoid deserializing arbitrary objects.
Attack Tree Path: Exploit vulnerabilities in the JNI bridge or native code (Arbitrary Code Execution)
Description: If Arrow is used with Java via the Java Native Interface (JNI), vulnerabilities in the JNI bridge or the native code called through JNI could lead to arbitrary code execution. Mitigation: Carefully review and test the JNI code and any native libraries used. Use memory-safe languages where possible.