Harvard Tool Improves Software Fault Isolation
A team of computer scientists has developed a new tool that could lead to increased security and enhanced performance for commonly used Web and mobile applications. Called RockSalt, the clever bit of code can verify that native computer programming languages comply with a particular security policy.
Presented at the June ACM Conference on Programming Language Design and Implementation (PLDI) in Beijing, RockSalt was created by Greg Morrisett, Allen B. Cutting Professor of Computer Science at the Harvard School of Engineering and Applied Sciences (SEAS); two of Morrisett’s undergraduate students, Edward Gan ’13 and Joseph Tassarotti ’13; former postdoctoral fellow Jean-Baptiste Tristan (now at Oracle); and Gang Tan of Lehigh University.
The use of native code, especially in an online environment, however, opens the door to hackers who can exploit vulnerabilities and readily gain access to other parts of a computer or device. An initial solution to this problem was offered over a decade ago by computer scientists at the University of California, Berkeley, who developed software fault isolation (SFI).
SFI forces native code to “behave” by rewriting machine code to limit itself to functions that fall within particular parameters. This “sandbox process” sets up a contained environment for running native code. A separate “checker” program can then ensure that the executable code adheres to regulations before running the program.
Although considered a major breakthrough, the solution was limited to devices using RISC (reduced instruction set computer) chips, a processor more common in research than in consumer computing. In 2006, Morrisett developed a way to implement SFI on the more popular CISC-based chips, like the Intel x86 processor. The technique was adopted widely. Google modified the routine for Google Chrome, eventually developing it into Google Native Client (or “NaCl”).
When bugs and vulnerabilities were found in the checker for NaCl, Google sent out a call to arms. Morrissett once again took on the challenge, turning the problem into an opportunity for his students. The result was RockSalt, an improvement over NaCl, built using Coq, a proof development system.
“We built a simple but incredibly powerful system for proving a hypothesis — so powerful that it’s likely to be overlooked. We want to prove that if the checker says ‘yes,’ the code will indeed respect the sandbox security policy,” says Tassarotti, who built and tested a model of the execution of x86 instructions. “We wanted to get a guarantee that there are no bugs in the checker, so we set out to construct a rigorous, machine-checked proof that the checker is correct.”
“Our proofs about the correctness of our own tool say that, if you run the tool on a program, and it says it’s safe to run, then according to the model, this program can only do certain things,” Tassarotti adds. “Our proof, however, was only as good as this model. If the model was wrong, then the tool could potentially have an error.”
In other words, he explains, think of an analogy in physics. While you might mathematically prove that according to Newton’s laws, a moving object will follow a certain trajectory, the proof is only meaningful to the degree that Newton’s laws accurately model the world.
“Since the x86 architecture is very complicated, it was essential to test the model by running programs on a real chip, then simulating them with the model, and seeing whether the results matched. I specified the meanings of many of these instructions and developed the testing infrastructure to check for errors in the model,” Tassarotti says.
“The biggest benefit may be that users can have more peace of mind that a piece of software works as they want it to,” says Morrisett. “For users, the impact of such a tool is slightly more tangible; it allows users to safely run, for example, games, in a Web browser without the painfully slow speeds that translated code traditionally provides.”
Previous efforts to develop a robust, error-free checker have resulted in some success, but RockSalt has the potential to be scaled to software widely used by the general public. The researchers expect that their tool might end up being adopted and integrated into future versions of common Web browsers. Morrisett and his team also have plans to adapt the tool for use in a broader variety of processors.
Reflecting on how the class project has been transformative, Tassarotti says, “I plan to pursue a Ph.D. in computer science, and I hope to work on projects like this that can improve the correctness of software. As computers are so prevalent now in fields like avionics and medical devices, I believe that this type of research is essential to ensure safety.”
The development of RockSalt was partially funded by Google (although Google researchers were not involved in its development).