Cybersecurity and Privacy: Concepts and Threat Modeling

Cybersecurity Concepts

Common Threats

1. Zero-Day Exploits

  • Definition: Targeting undisclosed software flaws, zero-day exploits vulnerabilities before developers can provide patches, posing a heightened risk due to the absence of immediate defenses.

2. Worms

  • Definition: Autonomous malware, worms spread across networks without user interaction, exploiting vulnerabilities. They pose serious threats by rapidly infecting systems and consuming network resources.

3. Viruses

  • Definition: Viruses are malicious code that attaches to legitimate programs, spreading through infected files. They can corrupt or destroy data and require user interaction to propagate.

4. Rootkit

  • Definition: A stealthy form of malware, rootkits enable unauthorized access while concealing their presence. They often exploit vulnerabilities to establish persistent control over a compromised system.

5. Phishing

  • Definition: Phishing involves deceptive tactics to trick individuals into revealing sensitive information, typically through fraudulent emails or websites. It’s a prevalent method in cyberattacks for identity theft and data breaches.

Key Concepts

6. Adversaries, Attacks, Vulnerabilities

  • Adversaries: Individuals or entities with malicious intent.
  • Attacks: Malicious actions or operations targeting system weaknesses.
  • Vulnerabilities: Weaknesses or flaws in systems that adversaries exploit for unauthorized access or data compromise.

7. Trust, Threats, Trust Model, Threat Model

  • Trust: Confidence in the reliability and integrity of a system.
  • Threats: Potential dangers or risks to system security.
  • Trust Model: A framework defining how trust is established and maintained.
  • Threat Model: Systematic analysis of potential threats and vulnerabilities.

8. Confidentiality, Integrity, Availability

  • Confidentiality: Protecting sensitive information from unauthorized access.
  • Integrity: Ensuring the accuracy and consistency of data.
  • Availability: Guaranteeing timely access to data and system resources.

9. Policies, Mechanisms, Security Model

  • Policies: Rules governing acceptable behavior and security practices.
  • Mechanisms: Tools and techniques used to enforce security policies.
  • Security Model: A conceptual framework defining how various security elements interact to safeguard a system or network.

Reflections on Trusting Trust

The”Trusting Trus” Attack

“Reflections on Trusting Trust” is a seminal computer science essay by Ken Thompson, one of the co-creators of Unix. The essay explores a security vulnerability that challenges the trustworthiness of software and compilers. It introduces the concept of the “trusting trust” attack and suggests countermeasures, including “diverse double compiling.”

Attack Mechanics

The “trusting trust” attack is a complex and subtle form of malware that occurs during the compilation process of software. It involves compromising the compiler, which is the tool responsible for translating human-readable source code into machine-executable code. The attack unfolds in several steps:

  1. Backdooring the Compiler: An attacker compromises the source code of the compiler itself, inserting malicious code that is not visible in the source code.
  2. Maintaining Trust: The attacker ensures that the compromised compiler still appears trustworthy by producing correct results for the software it compiles. Users are unlikely to detect anything amiss during routine compilation.
  3. Perpetuating the Attack: The malicious code inserted into the compiler is designed to recognize specific source code patterns, such as security checks, and subtly alter the compiled output to include hidden malware.
  4. Recursive Trust: As the compromised compiler is used to compile itself or other essential system tools, the hidden malware becomes deeply embedded in the software stack. This recursive trust ensures that the compromised compiler is trusted at every level of software compilation.
  5. Difficulty in Detection: The attack is difficult to detect, as the compromised compiler produces correct output, and the altered source code is not visible to the user.

Countermeasure: Diverse Double Compiling

Diverse Double Compiling is a countermeasure proposed in the essay to mitigate the “trusting trust” attack. It involves multiple steps:

  1. Initial Compilation: Compile the software using a known, trustworthy compiler to produce an executable binary.
  2. Second Compilation: Use this initial binary to compile the source code again, producing a second executable.
  3. Comparison: Compare the two resulting executables. If they match, it is highly unlikely that a “trusting trust” attack has occurred, as the attacker would need to compromise both the initial compiler and the second compiler without detection.
  4. Using Diverse Compilers: Implement the diverse double compiling process with different compilers to reduce the risk of a compromised compiler affecting both compilations.

Diverse Double Compiling adds an extra layer of security by introducing a degree of redundancy and diversity in the compilation process. However, it is not a foolproof solution, as sophisticated attackers could compromise multiple compilers. It serves as a valuable defense against the “trusting trust” attack but should be complemented by other security practices to ensure robust software security.

Design Principles

Design principles are foundational guidelines that inform the creation and development of systems, products, or solutions. They serve as fundamental concepts to ensure efficiency, effectiveness, and sustainability in design processes. Recognizing these principles is crucial for producing solutions that are user-friendly, resilient, and meet their intended objectives.

8 Design Principles

  1. Visibility: Ensure that relevant information and feedback are visible to users. Visibility helps users understand the current state of a system, reducing uncertainty and facilitating effective interaction.
  2. Feedback: Provide timely and informative feedback to users about their actions. Feedback aids in user comprehension, confirming the success or failure of an operation and guiding subsequent actions.
  3. Constraints: Introduce constraints to guide users and prevent errors. Well-implemented constraints limit the range of possible actions, reducing cognitive load and enhancing the user experience.
  4. Consistency: Maintain consistency in design elements, interactions, and terminology. Consistency fosters predictability, making it easier for users to learn and navigate a system.
  5. Affordance: Design elements should afford their intended use. Users should be able to easily interpret how to interact with an object or interface based on its visual cues, promoting intuitive usability.
  6. Mapping: Create a clear mapping between controls and their effects. Users should be able to associate actions with outcomes, fostering a sense of control and understanding.
  7. Simplicity: Strive for simplicity in design. Eliminate unnecessary complexity to enhance usability and reduce the potential for errors.
  8. Hierarchy: Organize information and design elements hierarchically. A clear hierarchy aids in prioritization, guiding users through content or tasks in a logical and intuitive manner.

Recognizing Design Principles in Given Scenarios

In given scenarios, identifying how these design principles are applied is crucial for evaluating the effectiveness of the design. For example, recognizing the visibility of feedback elements, adherence to consistency in user interfaces, or the use of constraints to prevent errors provides insights into how well design principles are being considered and implemented. Evaluating scenarios through the lens of these principles helps ensure that designs are user-centered, intuitive, and aligned with best practices in design thinking.

Privacy vs. Security

Key Concepts

  1. Privacy vs. Security: Privacy and security are distinct yet interconnected concepts. Privacy focuses on protecting personal information, ensuring individuals have control over their data. Security, in a broader sense, encompasses measures to safeguard systems, information, and data integrity.
  2. Privacy Threat Modeling: Privacy threat modeling is a specialized approach that identifies and addresses threats specifically related to the confidentiality and protection of personal information. Unlike general security threat modeling, it hones in on the nuances of safeguarding sensitive data.
  3. Comparing Security and Privacy Threat Modeling: Security threat modeling involves a broad examination of system vulnerabilities, encompassing various aspects of digital protection. In contrast, privacy threat modeling narrows its focus to threats against personal data, considering the unique challenges posed by the handling of sensitive information.

Solove’s Taxonomy of Privacy

  1. Solove’s Taxonomy of Privacy: Daniel Solove’s taxonomy provides a comprehensive framework categorizing privacy violations into four stages: Intrusion, Disclosure, Exposure, and Increased Accessibility. This taxonomy serves as a guide for understanding and addressing different levels of privacy risks.
  2. Understanding the Four Stages: Solove’s stages in privacy taxonomy detail the evolution of privacy violations. Intrusion refers to initial unauthorized access, Disclosure involves sharing information without consent, Exposure pertains to information visibility, and Increased Accessibility signifies heightened potential for unauthorized use.
  3. Applying it to Real-World Privacy Concerns: The practical application of Solove’s taxonomy involves mapping real-world privacy concerns onto the defined stages. This application aids in the identification, analysis, and mitigation of privacy issues in diverse contexts.

IETF Privacy Considerations

  1. IETF Privacy Consideration: The Internet Engineering Task Force (IETF) proposes privacy considerations, outlining essential factors for preserving privacy in online environments. These considerations play a crucial role in shaping the development and deployment of online technologies.
  2. Main Privacy Considerations Proposed: IETF’s proposed privacy considerations encompass key aspects, addressing challenges such as data protection, user consent, and secure data transmission. These considerations have practical implications for designing privacy-centric online systems.
  3. Practical Implications: The practical implications of IETF’s privacy considerations extend to the development and deployment of technologies. Considerations regarding user data handling, encryption, and transparency influence the implementation of privacy-enhancing features.

Privacy Impact Assessment (PIA)

  1. Privacy Impact Assessment (PIA): A Privacy Impact Assessment (PIA) is a systematic process for evaluating how data processing activities impact privacy. It involves assessing risks, ensuring legal compliance, and identifying measures to mitigate potential privacy issues.
  2. Key Stages and Processes in Conducting a PIA: Conducting a PIA involves several stages, including scoping the assessment, mapping data flows, assessing risks to privacy, and developing mitigation strategies. These stages ensure a comprehensive evaluation of privacy implications.

Nymity Slider

  1. Nymity Slider: The Nymity slider represents a spectrum of anonymity levels. It offers practical implications and use cases for different degrees of online identity disclosure, providing users with choices about the extent to which they reveal personal information.
  2. Understanding the Different Levels: The Nymity slider’s different levels indicate varying degrees of identity disclosure. Users can choose a level that aligns with their comfort and the context of their online interactions, balancing privacy with the need for engagement.
  3. Practical Implications for Varying Levels of Nymity: The practical implications of the Nymity slider extend to online platforms and users. Understanding the varying levels aids platforms in designing user interfaces, and users in making informed decisions about disclosing personal information.

Contextual Integrity

  1. Contextual Integrity: Contextual integrity is a privacy framework that considers privacy within specific social and cultural contexts. It acknowledges that norms and expectations regarding information sharing can differ across different situations.
  2. Definition and Significance: Contextual integrity is defined by its significance in preserving privacy within specific environments. It recognizes the contextual nature of privacy expectations and the role of social norms in shaping those expectations.
  3. The Role of Norms: Social norms play a crucial role in shaping individual privacy expectations within specific contexts. The framework acknowledges that what is considered acceptable in one context might not be in another.
  4. Scenarios Where Contextual Integrity is Challenged or Upheld: Contextual integrity is tested in real-world scenarios where norms may either challenge or uphold privacy expectations. For example, situations where cultural norms conflict with emerging digital practices highlight the dynamic nature of contextual privacy.

LINDDUN Privacy Threat Model

  1. LINDDUN: LINDDUN is a privacy threat model that addresses various aspects of privacy risks. It stands for Linkability, Identifiability, Non-repudiation, Detectability, Unlinkability, and Non-discriminatory use.
  2. The Seven Privacy Threats: LINDDUN identifies seven privacy threats, each with its conceptual foundation and privacy properties violated. These threats include issues related to linkability, identifiability, and the potential for discrimination based on user data.
  3. How LINDDUN Works: LINDDUN works by systematically evaluating and mitigating these privacy threats. It provides a structured approach to understanding and addressing issues such as linkability, where data can be connected to a specific individual.
  4. Pros and Cons: Evaluating the pros and cons of LINDDUN is essential for understanding its effectiveness in addressing privacy threats. While it provides a structured framework, potential drawbacks might include complexity and resource-intensive implementation.

Threat Modeling

The Concept of Threat Modeling

  1. The Concept of Threat Modeling: Threat modeling is a proactive approach to cybersecurity that involves identifying and mitigating potential threats to a system or application. It encompasses systematic analysis and planning to enhance security measures.
  2. The 4-Question Framework: The 4-question framework involves identifying assets, determining threats and vulnerabilities, assessing potential impact, and devising appropriate countermeasures. It provides a structured methodology for comprehensive threat analysis.

Decomposition of the System

  1. Decomposition of the System:
  • DFDs (Data Flow Diagrams): DFDs visually represent how data moves through a system, depicting components, data flows, processes, and trust boundaries.
  • PFDs (Process Flow Diagrams): PFDs illustrate the sequence of processes in a system, facilitating a deeper understanding of data interactions.

Diagrams for Threat Modeling

  1. Swim Lane Diagram: Swim lane diagrams visualize process flows with different lanes representing different entities or actors. This aids in understanding the interactions and responsibilities of various components within a system.
  2. State Diagram: A state diagram represents the different states a system can be in and the transitions between these states. It provides a dynamic view, helping in understanding how the system behaves over time.

STRIDE Threat Modeling Framework

  1. STRIDE: STRIDE is a threat modeling framework that addresses six types of threats: Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege.
  2. The Six Threats:
    • Concept: Each STRIDE threat represents a specific type of security concern.
    • Associated Security Properties: Each threat is associated with specific security properties that it compromises.
    • Mitigation Techniques: Strategies to mitigate each threat, enhancing the overall security posture.
  3. STRIDE Variants: STRIDE variants adapt the framework to specific contexts or industries, providing a more tailored threat modeling approach based on the unique challenges of different environments.
  4. High Level of Threat Modeling with STRIDE: Conducting threat modeling with STRIDE involves systematically applying the framework to identify and address potential threats at a high level, ensuring a comprehensive analysis.
  5. Pros and Cons:
    • Pros: STRIDE offers a systematic and comprehensive approach to threat modeling, ensuring a thorough evaluation of security risks.
    • Cons: It may become complex for large and intricate systems, and there’s a risk of overlooking certain threats due to the expansive nature of the framework.

Attack Trees

  1. Attack Trees:
    • Concept: Attack trees are hierarchical diagrams illustrating potential attack scenarios and their relationships.
    • Understanding Tree Nodes: Nodes in attack trees represent specific elements of an attack scenario, providing a structured view of the potential threat landscape.
    • Creation of Attack Trees: Developing attack trees involves systematically breaking down potential threats into detailed scenarios.
    • Application of Attack Trees: Attack trees aid in prioritizing and addressing potential threats based on their likelihood and impact.

Attack Libraries

  1. Attack Libraries:
    • CAPEC (Common Attack Pattern Enumeration and Classification): CAPEC is a comprehensive catalog of common attack patterns, aiding in the identification and mitigation of known threats.
    • OWASP Top Ten: The OWASP Top Ten lists the most critical web application security risks, providing a prioritized guide for addressing common vulnerabilities.
    • CVSS (Common Vulnerability Scoring System): CVSS is a framework for assessing the severity of vulnerabilities, helping organizations prioritize and manage their response to security threats.

Questions and Answers

Principle of Least Privilege

Question 1

Define the Principle of Least Privilege. (5 marks)

Answer

The Principle of Least Privilege (PoLP) is a foundational concept in information security and access control. It stipulates that users, processes, or systems should be granted the minimum level of access or permissions necessary to perform their designated tasks or functions. This principle is based on several key aspects, including the minimization of access rights, risk reduction through limited access, granular permission assignment, avoidance of shared mechanisms, and the regular review and auditing of access rights. PoLP aims to enhance security by restricting unnecessary privileges, mitigating the impact of security breaches, and ensuring that each user or process has precisely the permissions required for their specific roles.

Design Principles in Agile Development

Question 2

Identify design principles met and violated in the scenario provided. (5 marks)

Answer

In the scenario where a software development team follows Agile methodologies, design principles are both met and violated. The Agile approach aligns with the design principles of agility and adaptability, allowing the team to respond quickly to changing requirements and breaking down the project into manageable increments (met principles). However, the scenario violates the design principles related to security. Specifically, it neglects the principle of considering security as a primary concern throughout the development lifecycle. Postponing comprehensive security testing until the end of the development cycle is a violation. Additionally, the scenario overlooks the “shift left” principle, which emphasizes addressing security concerns early in the development process. The delay in security testing compromises the principle of comprehensive testing, as security assessments should occur regularly throughout the development process to identify and remediate vulnerabilities promptly. In summary, while Agile embraces certain design principles, it should not compromise essential principles related to security, and incorporating security measures early in the development process is crucial for building robust and secure software systems.

Vulnerability, Threat, and Control

Question 1

Explain the terms vulnerability, threat, and attack in information security:

Answer

  • Vulnerability: A vulnerability is a weakness or flaw in a system’s design, implementation, or operation that could be exploited to violate the system’s security. Vulnerabilities can exist in software, hardware, processes, or even human factors. Identifying and mitigating vulnerabilities is crucial to preventing security breaches.
  • Threat: A threat is any potential danger that can exploit a vulnerability, leading to harm to the system or its assets. Threats can be natural disasters, malicious attacks, or even human errors. Understanding and categorizing threats help in developing effective security measures to counteract potential risks.
  • Attack: An attack is a deliberate action taken to exploit a vulnerability and compromise the integrity, confidentiality, or availability of a system or its data. Attacks can come in various forms, including malware infections, unauthorized access, or denial-of-service attempts. Implementing security controls and measures is essential to thwart potential attacks.

Question 2

List potential vulnerabilities in a computing system:

Answer

  1. Software Vulnerabilities:
    • Bugs, coding errors, or flaws in software applications.
    • Exploitable vulnerabilities in operating systems.
    • Lack of timely software updates and patches.
  2. Network Vulnerabilities:
    • Weaknesses in network protocols.
    • Insecure wireless network configurations.
    • Unsecured communication channels.
  3. Human Factor Vulnerabilities:
    • Weak or easily guessable passwords.
    • Lack of security awareness and training.
    • Insider threats from employees with malicious intent.
  4. Hardware Vulnerabilities:
    • Weaknesses in hardware design or manufacturing.
    • Lack of physical security controls for devices.
    • Insecure hardware configurations.
  5. Policy and Process Vulnerabilities:
    • Inadequate security policies or poorly defined procedures.
    • Lack of access controls and permissions management.
    • Insufficient monitoring and auditing processes.
  6. Physical Security Vulnerabilities:
    • Lack of physical access controls to data centers.
    • Inadequate protection against environmental threats (fire, flood, etc.).
    • Unauthorized access to hardware components.

Question 3

Identify the vulnerability, threat, and control in a hypothetical scenario:

Scenario

An organization’s web application has a known vulnerability in its authentication system that could potentially allow attackers to execute SQL injection attacks and gain unauthorized access to sensitive user data.

Answer

  • Vulnerability: The vulnerability lies in the authentication system’s lack of input validation, making it susceptible to SQL injection attacks. Attackers can manipulate input fields to inject malicious SQL code, bypass authentication, and access unauthorized data.
  • Threat: The threat is posed by malicious actors attempting to exploit the SQL injection vulnerability. These attackers may include hackers, competitors, or disgruntled insiders seeking to compromise the confidentiality and integrity of user data.
  • Control: The organization can implement several controls to mitigate this vulnerability and threat:
    • Input Validation: Implement proper input validation mechanisms to sanitize user inputs and prevent SQL injection.
    • Web Application Firewall (WAF): Deploy a WAF to filter and block malicious SQL injection attempts.
    • Regular Security Audits: Conduct regular security audits and penetration testing to identify and remediate vulnerabilities proactively.
    By addressing the vulnerability through these controls, the organization enhances the security of its web application and reduces the risk of unauthorized access and data breaches.

Threat Modeling

Question 1

How do we start threat modeling?

Answer

Begin threat modeling by understanding the system, creating Data Flow Diagrams (DFDs) to visualize information flow, and identifying components and trust boundaries. Collaboration with stakeholders to define assets and potential threats is key for a comprehensive analysis.

Question 2

Explain DFD and its components.

Answer

A Data Flow Diagram (DFD) visually represents how data moves through a system. Components include processes, data stores, data flows, and external entities, providing a clear illustration of information flow and system structure.

Question 3

Explain trust boundary and its importance in threat modeling.

Answer

A trust boundary marks the transition point of trust between system domains. Identifying trust boundaries is crucial in threat modeling as it delineates areas where robust security measures must be implemented to safeguard against potential threats.

Question 4

What does STRIDE stand for? Explain at least two components of your choice.

Answer

STRIDE stands for Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege. Tampering involves unauthorized modification, while Information Disclosure pertains to the exposure of sensitive data, both posing significant security risks.

Question 5

What are the techniques to defend against Tampering threats? List at least five of them.

Answer

Defending against tampering threats involves employing data encryption, code signing, input validation, integrity checks, and digital signatures. These techniques collectively ensure the integrity of data and code, mitigating the risk of unauthorized modifications.

Question 6

How would you conduct threat modeling with STRIDE? Describe it at a high level.

Answer

Conducting threat modeling with STRIDE involves creating a DFD, identifying assets, applying STRIDE to uncover potential threats, evaluating associated risks, and implementing countermeasures. This iterative process emphasizes collaboration with stakeholders to enhance the effectiveness of security measures.

Question 7

What are the main advantages and disadvantages of STRIDE?

Answer

STRIDE offers advantages like comprehensive threat coverage and systematic analysis. However, potential disadvantages include complexity, the risk of overlooking specific threats, and the need for skilled practitioners to navigate and effectively address identified security concerns.

Question 8

What are the challenges of pinning down threats with attack trees? Describe and explain at least two items.

Answer

Challenges in using attack trees include escalating complexity as tree nodes increase, making prioritization difficult. Additionally, accurately estimating probabilities for branches poses a challenge, hindering the precise assessment of the severity and likelihood of identified threats.

Question 9

How would you use a threat library?

Answer

A threat library serves as a reference cataloging known threats and their mitigations. During the threat modeling process, it aids in identifying potential risks and selecting appropriate countermeasures. This proactive approach enhances the overall security posture by leveraging existing knowledge of threats and effective preventive measures.

Privacy

Question 1

How is privacy different from confidentiality?

Answer

Privacy is a broader concept encompassing the right to control personal information, including aspects beyond confidentiality. While confidentiality focuses on data secrecy, privacy extends to autonomy, consent, and the overall protection of personal space and choices.

Question 2

How does Solove’s Taxonomy help in understanding various privacy violations?

Answer

Solove’s Taxonomy categorizes privacy violations into stages—Intrusion, Disclosure, Exposure, and Increased Accessibility. It offers a structured framework for comprehending the progression of privacy breaches, aiding in analysis, mitigation, and communication about diverse privacy concerns.

Question 3

Describe some privacy concerns put forth by the IETF.

Answer

The Internet Engineering Task Force (IETF) addresses privacy concerns related to data interception, unauthorized access, and user tracking. Encryption, user consent, and secure data transmission are emphasized to mitigate these concerns, reflecting the need for robust privacy-preserving practices.

Question 4

What are the typical steps involved in conducting a PIA?

Answer

Privacy Impact Assessment (PIA) involves stages like scoping, data mapping, risk assessment, and mitigation planning. Scoping defines the assessment’s boundaries, data mapping identifies information flows, risk assessment evaluates potential privacy impacts, and mitigation planning outlines strategies to address identified risks.

Question 5

Define the term Nymity and explain its relevance to online interactions.

Answer

Nymity refers to the spectrum of online identity disclosure. It allows individuals to choose varying levels of anonymity. This concept is relevant in online interactions as it empowers users to control the extent of personal information revealed, aligning with their comfort and context.

Question 6

What does Contextual Integrity mean?

Answer

Contextual Integrity is a privacy framework acknowledging that privacy expectations depend on the specific social and cultural contexts. It recognizes the role of social norms in shaping expectations about information sharing, emphasizing the importance of considering the context in privacy assessments.

Question 7

What does LINDDUN stand for? Explain at least two of the components of your choice.

Answer

LINDDUN stands for Linkability, Identifiability, Non-repudiation, Detectability, Unlinkability, and Non-discriminatory use. Linkability refers to the ability to connect data to a specific individual, and Non-repudiation involves ensuring that a party cannot deny its actions, both integral components in assessing privacy threats.

Question 8

Why is non-repudiation a threat to privacy?

Answer

Non-repudiation, ensuring parties cannot deny their actions, can be a threat to privacy when individuals need the ability to disassociate from certain activities. Overemphasis on non-repudiation may compromise individuals’ control over their digital footprints and impact privacy.

Question 9

What are the advantages and disadvantages of the LINDDUN privacy threat modeling?

Answer

  • Advantages: LINDDUN provides a comprehensive framework, addressing various privacy threats. It considers factors like linkability and non-repudiation, enhancing the model’s applicability.
  • Disadvantages: LINDDUN’s complexity may require expertise, and its exhaustive nature could lead to potential oversights if not applied diligently.

Question 10

How would you perform privacy threat modeling with LINDDUN? Describe it at a high level.

Answer

Performing privacy threat modeling with LINDDUN involves identifying linkability, identifiability, non-repudiation, and other components. It requires creating scenarios, assessing the privacy properties violated, and developing mitigation strategies. High-level steps include defining scope, identifying assets, applying LINDDUN components, and proposing countermeasures to enhance privacy protection.

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