Explore essential aspects of securing event-driven architectures with this beginner-friendly quiz. Learn about threats, vulnerabilities, and best practices for maintaining security in modern event-driven systems.
What security threat can occur if event messages in an event-driven architecture are not authenticated, as in the case where a malicious actor sends fake payment confirmation events?
Explanation: Event spoofing happens when attackers send fake events, which can disrupt workflows or trigger unauthorized actions. Event logging is about recording occurrences for auditing, not creating fake events. Event masking refers to hiding event details, not faking them. Event routing deals with directing events to destinations, not sending false information.
Which technique most directly helps maintain the confidentiality of event messages in an event-driven system, especially when events include sensitive data like user credentials?
Explanation: Encryption protects sensitive event data from unauthorized access by encoding its contents. Compression reduces message size but doesn't secure data. Replication copies data for availability and fault tolerance, and partitioning divides data for scaling, neither helps with confidentiality.
Why is implementing proper access control important in event-driven architectures, such as restricting which services can publish 'user-deletion' events?
Explanation: Access control ensures only authorized services can perform sensitive actions, preventing accidental or malicious misuse. Increasing system latency is not a security goal. Disabling logging reduces monitoring, not security. Randomizing event order does not address access threats.
An attacker re-sends an old 'order confirmation' event multiple times to trick the system into giving extra products. What is this type of attack called?
Explanation: A replay attack involves resending valid messages to produce undesired outcomes, such as duplicate items. Buffer overflow is a memory attack, not directly related to message resending. Privilege escalation raises access rights, different from replaying events. Man-in-the-middle attacks intercept communication but don't necessarily involve message repetition.
What security risk arises if an attacker floods the event broker in an event-driven architecture with a massive number of fake events?
Explanation: Denial of Service (DoS) occurs when attackers overwhelm a system, making it slow or unavailable. Phishing involves tricking users, not flooding systems. SQL Injection targets databases, not brokers. Race conditions are bugs due to timing issues, not event flooding.
Which mechanism best ensures that the content of an event message remains unchanged as it travels from producer to consumer?
Explanation: Message signing uses cryptographic techniques to verify that the event message hasn't been altered in transit. Data sharding splits databases, unrelated to data integrity. Load balancing distributes workloads, and event batching groups messages, neither ensures content remains unaltered.
Why is exposing the event broker directly to the public internet considered a security risk in event-driven systems?
Explanation: Direct exposure to the internet makes the broker accessible to attackers, increasing security risks. Improving message throughput, event processing, or reducing message loss are operational aspects, not security risks, and are not guaranteed by public exposure.
Applying the principle of least privilege in event-driven architectures means which of the following when granting permissions to event consumers?
Explanation: The least privilege principle reduces risk by limiting permissions to only those needed. Giving full access by default is risky. Only allowing writes ignores necessary read access. Basing permissions on location may not properly control access according to job roles.
What is the purpose of validating event data schema before processing events in an event-driven application?
Explanation: Schema validation protects against malformed or malicious events by ensuring data is correct and expected. Compression affects transmission size, not schema correctness. Randomizing event order and guaranteeing low latency are unrelated to data validation.
Why are audit trails important in event-driven architectures, such as tracking who published or consumed a specific 'access granted' event?
Explanation: Audit trails help trace actions, making it possible to detect and investigate suspicious activities. Data partitioning optimization, faster processing, or reducing hardware costs are not achieved by maintaining audit trails.