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Attack Tree Analysis for grpc/grpc

Objective: Compromise the application's confidentiality, integrity, or availability by exploiting gRPC-specific vulnerabilities.

Attack Tree Visualization

Compromise Application via gRPC ├── 1. Denial of Service (DoS/Resource Exhaustion) [HIGH-RISK] │ ├── 1.2 Resource Exhaustion (Server-Side) [HIGH-RISK] │ │ ├── 1.2.1 Excessive Stream Creation [HIGH-RISK] │ │ │ ├── 1.2.1.1 Rapid stream creation/teardown without data transfer │ │ │ └── 1.2.1.2 Exploiting server-side stream limits (if poorly configured) │ │ ├── 1.2.2 Large Message Payloads [HIGH-RISK] │ │ │ ├── 1.2.2.1 Sending messages exceeding configured limits │ │ │ └── 1.2.2.2 Exploiting inefficient deserialization (protobuf) │ │ ├── 1.2.3 Connection Exhaustion [HIGH-RISK] │ │ │ └── 1.2.3.1 Opening many connections without closing them │ │ └── 1.2.4 CPU/Memory Exhaustion via Complex Protobuf Processing │ │ ├── 1.2.4.1 Crafting deeply nested protobuf messages │ │ └── 1.2.4.2 Exploiting protobuf "oneof" fields with large alternatives ├── 2. Unauthorized Access / Data Exfiltration [HIGH-RISK] │ ├── 2.1 Bypassing Authentication/Authorization [HIGH-RISK] │ │ ├── 2.1.1 Exploiting flaws in custom authentication implementations [HIGH-RISK] │ │ │ ├── 2.1.1.1 Incorrect handling of gRPC metadata (credentials) [CRITICAL] │ │ │ ├── 2.1.1.2 Weaknesses in token validation (JWT, etc.) [CRITICAL] │ │ │ └── 2.1.1.3 Improperly configured interceptors [CRITICAL] └── 3. Code Injection / Remote Code Execution (RCE) [CRITICAL] ├── 3.1 Vulnerabilities in Protobuf Deserialization [CRITICAL] │ ├── 3.1.1 Exploiting known vulnerabilities in specific protobuf library versions [CRITICAL] │ └── 3.1.2 Fuzzing the deserialization process to find new vulnerabilities [CRITICAL] ├── 3.2 Vulnerabilities in gRPC Library Itself [CRITICAL] │ └── 3.2.1 Exploiting known CVEs in the specific gRPC version used [CRITICAL] └── 3.3 Vulnerabilities in custom interceptors or handlers [CRITICAL] └── 3.3.1 Injecting malicious code that is executed during request processing [CRITICAL]

  • Overall Goal: Render the application unavailable to legitimate users by overwhelming server resources.
  • Description: An attacker rapidly creates and tears down gRPC streams without sending significant data, consuming server resources and potentially leading to denial of service.
  • Sub-Vectors:
    • 1.2.1.1 Rapid stream creation/teardown without data transfer: The core of the attack.
    • 1.2.1.2 Exploiting server-side stream limits (if poorly configured): If limits are too high or not enforced, the attack is more effective.
  • Mitigations: Strict stream limits, connection quotas, monitoring of stream creation rates.
  • Description: An attacker sends very large gRPC messages, exceeding configured limits or exploiting inefficient deserialization, leading to resource exhaustion.
  • Sub-Vectors:
    • 1.2.2.1 Sending messages exceeding configured limits: Directly violates size restrictions.
    • 1.2.2.2 Exploiting inefficient deserialization (protobuf): Targets weaknesses in how the server processes large or complex protobuf messages.
  • Mitigations: Strict message size limits, optimized protobuf schema and deserialization, streaming for large data.
  • Description: An attacker opens a large number of gRPC connections to the server without closing them, exhausting available connection slots.
  • Sub-Vectors:
    • 1.2.3.1 Opening many connections without closing them: The core of the attack.
  • Mitigations: Connection limits per client IP, connection pooling on the client-side.
  • Description: Attacker crafts specific protobuf messages designed to consume excessive CPU or memory during processing.
  • Sub-Vectors:
    • 1.2.4.1 Crafting deeply nested protobuf messages: Exploits the recursive nature of protobuf deserialization.
    • 1.2.4.2 Exploiting protobuf "oneof" fields with large alternatives: Forces the server to allocate memory for potentially large, unused data.
  • Mitigations: Avoid deeply nested structures, careful "oneof" design, performance profiling, and optimized protobuf libraries.
  • Overall Goal: Gain access to sensitive data or functionality without proper authorization.
  • Description: An attacker exploits weaknesses in the authentication or authorization mechanisms to gain unauthorized access.

  • 2.1.1 Exploiting flaws in custom authentication implementations [HIGH-RISK]

    • Description: Vulnerabilities in custom-built authentication logic allow attackers to bypass security checks.
    • Sub-Vectors (all [CRITICAL]):
      • 2.1.1.1 Incorrect handling of gRPC metadata (credentials): Improperly validated or exposed credentials.
      • 2.1.1.2 Weaknesses in token validation (JWT, etc.): Flaws in how tokens are generated, signed, or verified.
      • 2.1.1.3 Improperly configured interceptors: Interceptors that fail to enforce security policies correctly.
    • Mitigations: Use standard authentication libraries (OAuth 2.0, OpenID Connect), thorough credential validation, secure metadata handling, robust interceptor configuration, regular security audits.
  • Overall Goal: Execute arbitrary code on the server, leading to complete system compromise.
  • Description: Exploiting vulnerabilities in the protobuf library to achieve code execution during message deserialization.
  • Sub-Vectors (all [CRITICAL]):
    • 3.1.1 Exploiting known vulnerabilities in specific protobuf library versions: Using publicly known exploits against outdated libraries.
    • 3.1.2 Fuzzing the deserialization process to find new vulnerabilities: Attempting to discover new zero-day vulnerabilities through fuzz testing.
  • Mitigations: Keep protobuf libraries up-to-date, fuzz testing, use memory-safe languages.
  • Description: Exploiting vulnerabilities within the gRPC framework itself to achieve code execution.
  • Sub-Vectors (all [CRITICAL]):
    • 3.2.1 Exploiting known CVEs in the specific gRPC version used: Using publicly known exploits against outdated gRPC versions.
  • Mitigations: Keep gRPC libraries up-to-date, monitor for security advisories.
  • Description: Exploiting vulnerabilities in custom code (interceptors, request handlers) to inject and execute malicious code.
  • Sub-Vectors (all [CRITICAL]):
    • 3.3.1 Injecting malicious code that is executed during request processing: The core of the attack; injecting code through manipulated input.
  • Mitigations: Thorough code review, input validation, secure coding practices, regular security audits.