Software Exploitation (5 cr)

Materials

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

Evaluation scale

0-5

Completion alternatives

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.

Further information

Points from the quizzes and from the labs. No exam

Virtual portion

5

Student workload

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

- lectures 10 h
- reading assignments 15 h
- independent study 60 h
- assignment solving 40 h
- assignment reporting 10 h
Total 135 h

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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.

Assessment 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.

Content scheduling

We start by going through whole course theory, after all theory parts, we'll continue with hands-on assignments for the rest of the course.

Exam schedules

No exam, assessment is based on assignments.

Teaching language

en

Teaching methods

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

Number of ECTS credits allocated

5

Qualifications

Basics in programming, Data structures and algorithms

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.

Objective

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