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Attack Tree Analysis for maybe-finance/maybe

Objective: To gain unauthorized access to, manipulate, or exfiltrate a user's financial data stored or processed by the application leveraging the maybe-finance/maybe library.

Attack Tree Visualization

[Attacker's Goal: Gain Unauthorized Access to, Manipulate, or Exfiltrate User's Financial Data] | |--> [1. Exploit Vulnerabilities in Maybe's Data Handling] | | | |--> [1.1 Input Validation] | | | | | |--> [1.1.1 Insufficient Validation of User-Provided Financial Data] [!] | | | |--> [1.2 Data Sanitization] | | | | | |--> [1.2.1 Failure to Sanitize Data Before Internal Use] [!] | | | | | |--> [1.2.2 Inadequate Encoding/Escaping] [!] | | | |-->[1.3 Data Storage] | | | |-->[1.3.2 Hardcoded Secrets] [!] | |--> [2. Leverage Weaknesses in Maybe's API Integrations] | | | |--> [2.1 Third-Party API Keys] | | | |--> [2.1.1 Exposure of API Keys] [!] | |--> [3. Attack Maybe's Dependency Chain] | |--> [3.1 Supply Chain Attack] | | | |--> [3.1.1 Compromised Dependency] [!] | | | |-->[3.1.2 Typosquatting] [!] | |-->[3.2 Dependency Confusion] | |-->[3.2.1 Internal Dependency Name Collision] [!] | |-->[3.2.2 Misconfigured Package Manager] [!]

Attack Tree Path: 1. Exploit Vulnerabilities in Maybe's Data Handling

  • 1.1 Input Validation

    • 1.1.1 Insufficient Validation of User-Provided Financial Data [!]
      • Description: The integrating application fails to properly validate the format, range, or type of financial data (e.g., transaction amounts, dates, account numbers) before passing it to the maybe library. This allows an attacker to inject malicious data.
      • Likelihood: Medium (Depends heavily on the integrating application)
      • Impact: High (Data corruption, potential for injection attacks)
      • Effort: Low
      • Skill Level: Beginner
      • Detection Difficulty: Medium (Logs might show unusual data)

  • 1.2 Data Sanitization

    • 1.2.1 Failure to Sanitize Data Before Internal Use [!]

      • Description: The integrating application fails to sanitize data received from or processed by maybe before using it internally (e.g., in calculations, string formatting, or database queries). This can lead to various injection vulnerabilities.
      • Likelihood: Medium (Depends on Maybe's internal implementation and the integrating application)
      • Impact: High (Potential for various injection vulnerabilities)
      • Effort: Low
      • Skill Level: Intermediate
      • Detection Difficulty: Medium (Depends on how the integrating application uses the data)

    • 1.2.2 Inadequate Encoding/Escaping [!]

      • Description: The integrating application fails to properly encode or escape data received from maybe before displaying it in a user interface. This can lead to Cross-Site Scripting (XSS) and other injection vulnerabilities.
      • Likelihood: Medium (Shared responsibility with the integrating application)
      • Impact: High (XSS, other injection vulnerabilities)
      • Effort: Low
      • Skill Level: Intermediate
      • Detection Difficulty: Medium (Visible in rendered output, potentially)

  • 1.3 Data Storage

    • 1.3.2 Hardcoded Secrets [!]
      • Description: The maybe library or, more likely, the integrating application, contains hardcoded API keys, secrets, or credentials. These could be extracted by an attacker.
      • Likelihood: Very Low (This is a major security flaw and unlikely in a public repo, but possible in the integrating application)
      • Impact: Very High (Complete compromise of connected services)
      • Effort: Very Low
      • Skill Level: Script Kiddie
      • Detection Difficulty: Easy (Visible in the codebase)

Attack Tree Path: 2. Leverage Weaknesses in Maybe's API Integrations

  • 2.1 Third-Party API Keys

    • 2.1.1 Exposure of API Keys [!]
      • Description: API keys used by maybe or the integrating application for third-party financial services are exposed (e.g., in logs, source code, configuration files, or environment variables that are not properly secured).
      • Likelihood: Low (If best practices are followed)
      • Impact: Very High (Compromise of third-party accounts)
      • Effort: Very Low (If keys are exposed)
      • Skill Level: Script Kiddie
      • Detection Difficulty: Easy (If keys are exposed in logs, code, etc.)

Attack Tree Path: 3. Attack Maybe's Dependency Chain

  • 3.1 Supply Chain Attack

    • 3.1.1 Compromised Dependency [!]
      • Description: A library that maybe depends on is compromised by a malicious actor, injecting malicious code into maybe and, consequently, the integrating application.
      • Likelihood: Low (But increasing in frequency)
      • Impact: Very High (Complete compromise)
      • Effort: Very High (Requires compromising a dependency)
      • Skill Level: Expert
      • Detection Difficulty: Very Hard (Requires advanced security analysis)
    • 3.1.2 Typosquatting [!]
      • Description: An attacker publishes a malicious package with a name similar to a legitimate dependency of maybe, tricking developers into installing the malicious package.
      • Likelihood: Low (Requires careful review of dependencies)
      • Impact: Very High (Complete compromise)
      • Effort: Medium (Requires creating and publishing a malicious package)
      • Skill Level: Intermediate
      • Detection Difficulty: Medium (Requires careful code review)

  • 3.2 Dependency Confusion

    • 3.2.1 Internal Dependency Name Collision [!]

      • Description: If maybe uses an internal dependency with the same name as a public package, an attacker could potentially trick the build system into using the public (malicious) package instead.
      • Likelihood: Low (Requires specific naming conventions)
      • Impact: Very High (Complete compromise)
      • Effort: High (Requires exploiting a specific misconfiguration)
      • Skill Level: Advanced
      • Detection Difficulty: Hard (Requires understanding the build process)

    • 3.2.2 Misconfigured Package Manager [!]

      • Description: If the package manager used to install maybe and its dependencies is misconfigured, it might pull dependencies from an untrusted source, leading to the installation of malicious code.
      • Likelihood: Low (Requires specific misconfiguration)
      • Impact: Very High (Complete compromise)
      • Effort: High (Requires exploiting a specific misconfiguration)
      • Skill Level: Advanced
      • Detection Difficulty: Hard (Requires understanding the build process)