tree d7668a760fc83e24cf0fb68547fec4cd25d1ad92
parent ba1ffd25c1f7a3564136b13e49fb1a7185561613
author Scott Constable <scott.d.constable@intel.com> 1585946494 -0700
committer Craig Topper <craig.topper@intel.com> 1585946750 -0700

[X86] Add Support for Load Hardening to Mitigate Load Value Injection (LVI)

After finding all such gadgets in a given function, the pass minimally inserts
LFENCE instructions in such a manner that the following property is satisfied:
for all SOURCE+SINK pairs, all paths in the CFG from SOURCE to SINK contain at
least one LFENCE instruction. The algorithm that implements this minimal
insertion is influenced by an academic paper that minimally inserts memory
fences for high-performance concurrent programs:

http://www.cs.ucr.edu/~lesani/companion/oopsla15/OOPSLA15.pdf

The algorithm implemented in this pass is as follows:

1. Build a condensed CFG (i.e., a GadgetGraph) consisting only of the following components:
  -SOURCE instructions (also includes function arguments)
  -SINK instructions
  -Basic block entry points
  -Basic block terminators
  -LFENCE instructions
2. Analyze the GadgetGraph to determine which SOURCE+SINK pairs (i.e., gadgets) are already mitigated by existing LFENCEs. If all gadgets have been mitigated, go to step 6.
3. Use a heuristic or plugin to approximate minimal LFENCE insertion.
4. Insert one LFENCE along each CFG edge that was cut in step 3.
5. Go to step 2.
6. If any LFENCEs were inserted, return true from runOnFunction() to tell LLVM that the function was modified.

By default, the heuristic used in Step 3 is a greedy heuristic that avoids
inserting LFENCEs into loops unless absolutely necessary. There is also a
CLI option to load a plugin that can provide even better optimization,
inserting fewer fences, while still mitigating all of the LVI gadgets.
The plugin can be found here: https://github.com/intel/lvi-llvm-optimization-plugin,
and a description of the pass's behavior with the plugin can be found here:
https://software.intel.com/security-software-guidance/insights/optimized-mitigation-approach-load-value-injection.

Differential Revision: https://reviews.llvm.org/D75937