AP®︎ Cybersecurity: Topic 5.6 Flashcards

Master key terms and definitions for Topic 5.6 of AP Cybersecurity – Detecting Attacks on Data and Applications to help you prep for quizzes and the AP exam.


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Term

Indicator of Attack

Definition

Evidence consistent with malicious activity; it may show an attempt without proving that the attack succeeded

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Indicator of Attack
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Evidence consistent with malicious activity; it may show an attempt without proving that the attack succeeded

5.6.E
Detective Control
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A control that reveals an attempted or completed attack rather than necessarily preventing it

5.6.B
Accounting
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The process of recording and monitoring user activities, including who accessed data, when, and what operation was attempted or completed

5.6.A5.6.A.1
Log Analysis
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Reviewing recorded events for suspicious operations or deviations from normal time, location, device, file, or application access patterns

5.6.A5.6.A.1
Honeypot
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A monitored file containing fake valuable-looking data; attempted access triggers a high-confidence alert because no legitimate user should access it

5.6.A5.6.A.2
Cryptographic Hash Function
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A repeatable function that converts data into a hash or digest; the same input and algorithm produce the same output

5.6.D5.6.D.1
File Integrity Verification by Hash
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Record a file’s hash as a baseline, hash the same file later with the same algorithm, and compare the full digests; a difference means the file was altered

5.6.D5.6.D.3
SHA-256 Hash Command — Windows PowerShell
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Get-FileHash testfile -Algorithm SHA256

5.6.D5.6.D.2
SHA-256 Hash Command — Bash
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Sha256sum testfile

5.6.D5.6.D.2
SHA-256 Hash Command — zsh
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Shasum -a 256 testfile

5.6.D5.6.D.2
Data Loss Prevention (DLP)
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Monitoring of users’ data access, use, copying, and transmission across an organization to detect suspicious activity, with strong coverage at a higher cost

5.6.B5.6.B.1
Detective-Control Selection Criteria
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Choose controls according to cost, data or application sensitivity and criticality, and data classification or regulatory requirements

5.6.B
Sensitivity vs. Criticality
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Sensitivity concerns the nature, value, or potential harm of information; criticality concerns how essential data or an application is to operations

5.6.B5.6.B.2
Data Classification
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The category and handling requirements formally assigned to data, such as private, educational, healthcare, or financial, which may require specific monitoring

5.6.B5.6.B.3
Real-Time vs. Retrospective Detection
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Real-time detection alerts while activity is occurring and enables prompt response; retrospective detection discovers an attack or change after it occurred

5.6.C5.6.C.2
False Negative
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A real attack that a detection method fails to identify, such as unchanged data being stolen or an adversary avoiding a honeypot

5.6.C5.6.C.3
SQL Injection Indicators
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SQL syntax in logged user input, especially quotes, OR 1=1, the comment marker --, or capitalized control words such as WHERE, IN, and FROM.

5.6.E5.6.E.1
Cross-Site Scripting (XSS) Indicators
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Suspicious HTML or JavaScript in logged user input, particularly <script>...</script> tags

5.6.E5.6.E.2
Buffer Overflow Indicators
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Unusually long URL, cookie, query string, or total request lengths in a web request

5.6.E5.6.E.3
Directory Traversal Indicators
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Sequences of ../ in an HTTP GET path, especially repeated sequences leading to files outside the intended web directory

5.6.E5.6.E.4
Application-Attack Indicator Report
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Report the timestamp, source, affected account, field, application, or resource; exact indicator; likely attack type; and whether the evidence shows success, failure, or an undetermined outcome

5.6.E
Automated Log Analysis
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Using software to compare log events with rules or normal patterns and quickly alert defenders to suspicious activity

5.6.C5.6.C.1