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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Assessment and Testing | 12% | - Security Testing Methods - Audit Processes |
| Topic 2: Communication and Network Security | 13% | - Secure Network Components - Network Architecture and Design |
| Topic 3: Asset Security | 10% | - Data Lifecycle Management - Information and Asset Classification |
| Topic 4: Security Architecture and Engineering | 13% | - Security Models and Frameworks - Secure Design Principles |
| Topic 5: Identity and Access Management (IAM) | 13% | - Identity Lifecycle Management - Authentication and Authorization |
| Topic 6: Software Development Security | 11% | - Secure Software Development Lifecycle (SDLC) - Application Security Controls |
| Topic 7: Security and Risk Management | 14% | - Professional Ethics - Security Governance Principles - Compliance and Legal Requirements |
| Topic 8: Security Operations | 13% | - Incident Response - Disaster Recovery and Business Continuity |
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NEW QUESTION # 1422
An application developer receives a report back from the security team showing their automated tools were able to successfully enter unexpected data into the organization's customer service portal, causing the site to crash. This is an example of which type of testing?
Answer: C
NEW QUESTION # 1423
Which of the following controls is the most for a system identified as critical in terms of data and function to the organization?
Answer: C
NEW QUESTION # 1424
Which of the following attack types can be used to compromise the integrity of data during transmission?
Answer: A
Explanation:
Packet sniffing is a type of attack that involves intercepting and analyzing the network traffic that is transmitted between hosts. Packet sniffing can be used to compromise the integrity of data during transmission, as the attacker can modify, delete, or inject packets into the network stream.
Packet sniffing can also be used to compromise the confidentiality and availability of data, as the attacker can read, copy, or block packets. Keylogging, synchronization flooding, and session hijacking are all types of attacks, but they do not directly affect the integrity of data during transmission. Keylogging is a type of attack that involves capturing and recording the keystrokes of a user on a device. Synchronization flooding is a type of attack that involves sending a large number of SYN packets to a target host, causing it to exhaust its resources and deny service to legitimate requests. Session hijacking is a type of attack that involves taking over an existing session between a user and a web service, and impersonating the user or the service.
NEW QUESTION # 1425
Knowledge-based Intrusion Detection Systems (IDS) are more common than:
Answer: D
Explanation:
Knowledge-based IDS are more common than behavior-based ID systems. Source: KRUTZ, Ronald L. & VINES, Russel D., The CISSP Prep Guide: Mastering the Ten Domains of Computer Security, 2001, John Wiley & Sons, Page 63. Application-Based IDS - "a subset of HIDS that analyze what's going on in an application using the transaction log files of the application." Source: Official ISC2 CISSP CBK Review Seminar Student Manual Version 7.0 p. 87 Host-Based IDS - "an implementation of IDS capabilities at the host level. Its most significant difference from NIDS is intrusion detection analysis, and related processes are limited to the boundaries of the host." Source: Official ISC2 Guide to the CISSP CBK - p. 197 Network-Based IDS - "a network device, or dedicated system attached to the network, that monitors traffic traversing the network segment for which it is integrated." Source: Official ISC2 Guide to the CISSP CBK - p. 196 CISSP for dummies a book that we recommend for a quick overview of the 10 domains has nice and concise coverage of the subject: Intrusion detection is defined as real-time monitoring and analysis of network activity and data for potential vulnerabilities and attacks in progress. One major limitation of current intrusion detection system (IDS) technologies is the requirement to filter false alarms lest the operator (system or security administrator) be overwhelmed with data. IDSes are classified in many different ways, including active and passive, network-based and host-based, and knowledge-based and behavior-based: Active and passive IDS An active IDS (now more commonly known as an intrusion prevention system - IPS) is a system
that's configured to automatically block suspected attacks in progress without any intervention
required by an operator. IPS has the advantage of providing real-time corrective action in
response to an attack but has many disadvantages as well. An IPS must be placed in-line along a
network boundary; thus, the IPS itself is susceptible to attack. Also, if false alarms and legitimate
traffic haven't been properly identified and filtered, authorized users and applications may be
improperly denied access. Finally, the IPS itself may be used to effect a Denial of Service (DoS)
attack by intentionally flooding the system with alarms that cause it to block connections until no
connections or bandwidth are available.
A passive IDS is a system that's configured only to monitor and analyze network traffic activity and
alert an operator to potential vulnerabilities and attacks. It isn't capable of performing any
protective or corrective functions on its own. The major advantages of passive IDSes are that
these systems can be easily and rapidly deployed and are not normally susceptible to attack
themselves.
Network-based and host-based IDS
A network-based IDS usually consists of a network appliance (or sensor) with a Network Interface
Card (NIC) operating in promiscuous mode and a separate management interface. The IDS is
placed along a network segment or boundary and monitors all traffic on that segment.
A host-based IDS requires small programs (or agents) to be installed on individual systems to be
monitored. The agents monitor the operating system and write data to log files and/or trigger
alarms. A host-based IDS can only monitor the individual host systems on which the agents are
installed; it doesn't monitor the entire network.
Knowledge-based and behavior-based IDS
A knowledge-based (or signature-based) IDS references a database of previous attack profiles
and known system vulnerabilities to identify active intrusion attempts. Knowledge-based IDS is
currently more common than behavior-based IDS.
Advantages of knowledge-based systems include the following:
It has lower false alarm rates than behavior-based IDS.
Alarms are more standardized and more easily understood than behavior-based IDS.
Disadvantages of knowledge-based systems include these:
Signature database must be continually updated and maintained.
New, unique, or original attacks may not be detected or may be improperly classified.
A behavior-based (or statistical anomaly-based) IDS references a baseline or learned pattern of
normal system activity to identify active intrusion attempts. Deviations from this baseline or pattern
cause an alarm to be triggered.
Advantages of behavior-based systems include that they
Dynamically adapt to new, unique, or original attacks.
Are less dependent on identifying specific operating system vulnerabilities.
Disadvantages of behavior-based systems include
Higher false alarm rates than knowledge-based IDSes.
Usage patterns that may change often and may not be static enough to implement an effective
behavior-based IDS.
NEW QUESTION # 1426
Which of the following system security measures is required for the protection of code repositories?
Answer: B
NEW QUESTION # 1427
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