Objective: [[Attacker's Goal: Disrupt Service, Exfiltrate Data, or Execute Code via WebSocket]]
[[Attacker's Goal]]
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[[Denial of Service (DoS/DDoS)]] [[Data Manipulation/Exfiltration]]
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[[Resource Exhaustion]] [[Malformed Messages]] [[Connection Flooding]] [[Message Injection]] [[Bypass Authentication/Authorization]]
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================= ----------------- ======== ================= =================
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[[Slowloris]] [[Large [[Oversized [[Many [[Craft [[Send [[No/Weak [[Missing [[Exploit
Style Payloads]] Payloads]] Clients]] Malicious Unauth. Auth.]] AuthZ Logic
Attacks]] Payloads]] Messages]] Checks]] Flaws]]
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=================
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[[Session
Fixation]]
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[[Predictable
Session
Tokens]]
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[[Remote Code Execution (RCE)]]
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=========================================
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[[Vulnerable Dependencies]] [[Exploit Server-Side Logic Flaws]]
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================= =================
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[[Outdated [[Known [[Input [[Unvalidated
gorilla/ Vulner- Validation Data in
websocket]] abilities]] Bypass]] Business
Logic]]
Attack Tree Path: Denial of Service (DoS/DDoS)
-
Overall: A critical threat aiming to make the service unavailable to legitimate users. High likelihood due to the prevalence of DoS/DDoS attacks.
-
Resource Exhaustion:
- Description: Overwhelming server resources (CPU, memory, bandwidth) to prevent it from handling legitimate requests.
- Slowloris-Style Attacks:
- Description: Maintain many WebSocket connections, sending data very slowly to keep connections open and consume resources.
- Why High-Risk: Relatively easy to execute with readily available tools, and highly effective if the server doesn't have proper timeouts and connection limits.
- Large Payloads:
- Description: Sending extremely large messages to consume server resources during processing.
- Why High-Risk: Simple to execute, and the impact can be significant if the application doesn't enforce strict message size limits.
-
Malformed Messages:
- Oversized Payloads:
- Description: Sending messages with a declared size larger than what the server can handle, potentially leading to buffer overflows or other memory-related issues.
- Why High-Risk: While
gorilla/websocket
does some size checks, application-level checks are crucial, and oversights can lead to significant vulnerabilities.
- Oversized Payloads:
-
Connection Flooding:
- Description: Establishing a large number of WebSocket connections to overwhelm the server's ability to handle new connections.
- Many Clients (DDoS):
- Description: Using multiple compromised machines (a botnet) to simultaneously establish many connections.
- Why High-Risk: A common and highly effective attack, though it requires more resources from the attacker.
Attack Tree Path: Data Manipulation/Exfiltration
-
Overall: A critical threat that involves modifying data in transit or stealing sensitive information.
-
Message Injection:
- Description: Injecting malicious messages into the WebSocket stream to exploit vulnerabilities in the application's message handling.
- Craft Malicious Payloads:
- Description: Sending messages specifically designed to trigger vulnerabilities in the application's parsing or processing logic.
- Why High-Risk: The core of many injection attacks, with potentially very high impact depending on the vulnerability.
- Send Unauthorized Messages:
- Description: Sending messages that the attacker shouldn't be allowed to send, bypassing authorization checks.
- Why High-Risk: Directly leads to data manipulation or exfiltration if authorization is flawed.
-
Bypass Authentication/Authorization:
- Description: Accessing WebSocket functionality without proper credentials or permissions.
- No/Weak Authentication:
- Description: The application doesn't properly authenticate WebSocket connections, or uses weak authentication methods.
- Why High-Risk: A fundamental security flaw that allows unrestricted access.
- Missing Authorization Checks:
- Description: The application authenticates users but doesn't check if they are authorized to perform specific actions via the WebSocket.
- Why High-Risk: A common oversight that allows attackers to perform actions they shouldn't be able to.
- Exploit Logic Flaws:
- Description: Bypassing authentication/authorization through vulnerabilities in the application's logic.
- Why High-Risk: The impact depends on the specific flaw, but can be very high.
- Session Fixation:
- Description: An attacker sets a known session ID for the victim, allowing them to hijack the session after the victim authenticates.
- Why High-Risk: Leads to complete account takeover if session IDs are predictable or not properly managed.
- Predictable Session Tokens:
- Description: Session tokens that can be easily guessed or brute-forced.
- Why High-Risk: Allows attackers to impersonate legitimate users.
Attack Tree Path: Remote Code Execution (RCE)
-
Overall: The most critical threat, allowing the attacker to execute arbitrary code on the server.
-
Vulnerable Dependencies:
- Description: Exploiting vulnerabilities in the
gorilla/websocket
library itself or other dependencies. - Outdated
gorilla/websocket
:- Description: Using an old version of the library with known vulnerabilities.
- Why High-Risk: A direct path to RCE if vulnerabilities exist and are unpatched.
- Known Vulnerabilities:
- Description: Exploiting publicly disclosed or zero-day vulnerabilities in any dependency.
- Why High-Risk: Exploits for known vulnerabilities are often readily available.
- Description: Exploiting vulnerabilities in the
-
Exploit Server-Side Logic Flaws:
- Description: Using the WebSocket connection to trigger vulnerabilities in the application's code.
- Input Validation Bypass:
- Description: Sending specially crafted messages that bypass input validation checks, leading to other vulnerabilities.
- Why High-Risk: A prerequisite for many RCE attacks, enabling the attacker to inject malicious code or commands.
- Unvalidated Data in Business Logic:
- Description: The application uses data received from WebSockets without proper sanitization in critical operations (e.g., database queries, file system access).
- Why High-Risk: A common source of vulnerabilities that can lead to RCE if unsanitized data is used in dangerous operations.