Counterfeit Object-oriented Programming: On the Difficulty of Preventing Code Reuse Attacks in C++ Applications

By Felix Schuster, Thomas Tendyck, Christopher Liebchen, Lucas Davi, Ahmad-Reza Sadeghi, Thorsten Holz. IEEE Symposium on Security and Privacy, 2015

429 citations recorded by the source corpus.

Code reuse attacks such as return-oriented programming (ROP) have become prevalent techniques to exploit memory corruption vulnerabilities in software programs. A variety of corresponding defenses has been proposed, of which some have already been successfully bypassed -- and the arms race continues. In this paper, we perform a systematic assessment of recently proposed CFI solutions and other defenses against code reuse attacks in the context of C++. We demonstrate that many of these defenses that do not consider object-oriented C++ semantics precisely can be generically bypassed in practice. Our novel attack technique, denoted as counterfeit object-oriented programming (COOP), induces malicious program behavior by only invoking chains of existing C++ virtual functions in a program through corresponding existing call sites. COOP is Turing complete in realistic attack scenarios and we show its viability by developing sophisticated, real-world exploits for Internet Explorer 10 on Windows and Fire fox 36 on Linux. Moreover, we show that even recently proposed defenses (CPS, T-VIP, vfGuard, and VTint) that specifically target C++ are vulnerable to COOP. We observe that constructing defenses resilient to COOP that do not require access to source code seems to be challenging. We believe that our investigation and results are helpful contributions to the design and implementation of future defenses against control flow hijacking attacks.

Subfields: Artificial Intelligence, Materials Chemistry, Signal Processing

View Paper: https://www.semanticscholar.org/paper/7a42159634f95ba5dc54eaf5beaf3f02ea74d6db

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Ahmad-Reza Sadeghi
  2. Lucas Davi
  3. Zhenkai Liang
  4. Gene Tsudik
  5. R. Sekar
  6. N. Asokan
  7. Prateek Saxena
  8. Dawn Song

In Materials Chemistry

  1. Dawn Song
  2. R. Sekar
  3. Ramesh Karri
  4. László Szekeres

In Signal Processing

  1. Ahmad-Reza Sadeghi
  2. Lucas Davi
  3. R. Sekar
  4. Zhenkai Liang
  5. Prateek Saxena
  6. Per Larsen
  7. Dawn Song
  8. Michael Franz

Citations in the corpus