Curricula

Objectives

The student knows the most common application vulnerabilities and how they affect new and existing applications. The student is also able to find, exploit and fix common application vulnerabilities. The student is also familiar with safety mechanisms built into modern operating systems to make exploitation more difficult.

Competences
EUR-ACE: Knowledge and understanding 
EUR-ACE: Engineering practice 

Content

The course will cover most common application vulnerabilities, what causes them, how they are exploited and how to fix or mitigate them. Basic knowledge of C or C++ and data structures and algorithms is required. Knowledge of one scripting language (e.g. Python) is recommended.

Time and location

- First contact on campus, rest of them online
- Guidance sessions on campus

Learning materials and recommended literature

Materials in the e-learning environment and a book: Hacking : the art of exploitation 2nd edition

Teaching methods

- lectures
- independent study
- distance learning
- webinars
- exercises
- learning tasks
- book

Exam dates and retake possibilities

No exam, assessment is based on assignments.

Alternative completion methods

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.

- lectures 15 h
- demos and walkthroughs 15 h
- assignment 45 h
- independent study 55 h
Total 135 h

Further information for students

Points from lab reports. No exam.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Satisfactory (2): The student understands the most basic topics discussed during the course, however, struggles to utilize this knowledge.
Sufficient (1): The student is familiar with the basic topics discussed during the course. He is able to solve problems related to the topics only in the simplest of cases.
Fail 0: The student does not meet the minimum criteria set for the course.

Evaluation criteria, good (3-4)

Very good (4): The student understands the most important topics discussed during the course and is able to utilize this knowledge in the most common cases.
Good (3): The student understands the most important topics discussed during the course and is able to utilize this knowledge in the most basic cases.

Evaluation criteria, excellent (5)

Excellent (5): The student understands all topics discussed during the course and is able to use them in an innovative manner even in challenging cases.

Prerequisites

Basics in programming, Data structures and algorithms