Foundry Integration (Alpha)
Certora’s Foundry Integration allows formally verifying Foundry fuzz tests with the Certora Prover instead of writing specifications in CVL.
The Prover will yield higher guarantees of correctness than Foundry as all inputs will be evaluated. While fuzzing is not as complete as formal verification (a fuzzer might “miss” some inputs that would expose a bug), writing fuzz tests via Foundry is often easier since it uses Solidity.
Caution
This feature of the Certora Prover is in alpha state, so issues/unimplemented features are expected. Please contact us if you encounter any issue.
Usage
There is a minimum of 2 required files to get the Prover to verify Foundry fuzz tests: A .spec
file (written in CVL), and a .conf
file.
First, we need a
.spec
file written in CVL to tell the Prover what to verify. The file is very simple, and in the minimal case has exactly one line:\
use builtin rule verifyFoundryFuzzTests;
Second, you need a
.conf
file that will provide the Prover the information of which contract to verify, and what.spec
file to use. A minimal.conf
file will look like this:\
{
"files": [
"path/to/file/with/Foundry/fuzz/tests.sol:<name_of_contract_containing_the_tests>",
],
"verify": "name_of_contract_containing_the_tests:path/to/spec/file.spec",
"foundry_tests_mode": true,
}
Now, to run the tests, execute:
certoraRun path/to/conf/file.conf
You will receive a link to a report containing the results of the run.
For a full running example, please also see our Foundry Integration Examples.
Key differences vs. Foundry fuzz testing
In Foundry, fuzz tests start with a blank state as the initial state (i.e. all storage fields are explicitly set to 0
), and one can implement
a setUp()
function in order to bring the state to whatever initial state one wants to run the tests in. In contrast, the Prover starts with
an arbitrary initial state and does not assume all storage fields to be initialized with 0 by default. This could cause the Prover to find
spurious counter examples. For example, a fuzz test may assume that a storage value of balance
is zero for all addresses and the Prover may
choose some other initial state violating this basic assumption of the test.
To restrict the Prover’s search space to match the setup of the Foundry test, it’s possible write a special CVL function init_fuzz_tests
that acts as a setup in CVL. This function may or may not be required depending on how the fuzz tests are setup.
override function init_fuzz_tests(method f, env e) {
// your initial state assumptions here
}
Depending on your fuzz test, you may need to use the reset_storage
command in the init_fuzz_tests
function. This will explicitly set all
storage fields of a contract to 0
before running the test. Alternatively, one could try to add a call to the setUp()
function in the
init_fuzz_tests
function - please note that the init_fuzz_tests
is an empty method by default.
Known Limitations
The call trace of the Foundry integration can be hard to read when there is more than one Foundry test method in a job. When focusing on a particular violation of a fuzz test method it is helpful to use the
--method "<FUZZ_TEST_METHOD_NAME>"
flag.
The ruleverifyFoundryFuzzTests
is implemented as a parametric rule with parametermethod f
followed by a statementif(f.selector == <FuzzTestMethod>.selector)
for each detected fuzz method. The actual code of the fuzz test method starts within theThen
block of the condition that evaluated totrue
.
Here is an example of a call trace of a job that was run without the--method
flag (Link to job).
Say the user selectedtest_percentMul_fuzz_no_expectRevert(uint256 value, uint256 percentage)
in the rules panel to the left. Observe that in the call trace there is an entryf.selector == (sig:PercentageMathTests.test_percentMul_fuzz_no_expectRevert(uint256 value, uint256 percentage)).selector ↪ true
and a then blockThen(cvlRange=Fuzz.t.spec:1:1)
. The method has been inlined within the then block, here you can find the parameter assignments that lead to the violation.
If you run the same example the flag--method "test_percentMul_fuzz_wrong_assert(uint256,uint256)"
(Link to job), the call trace is significantly simpler.Foundry’s Invariant testing is not supported, i.e. forge tests prefixed with
invariant
are not formally verified. Under the hood, the built-in ruleverifyFoundryFuzzTests
is a parametric rule that picks up all methods that start intest*
and will use these to formally verify them.One of the usual usages of the
setUp()
function is to create new contract instances for testing. When setting up the Prover run, the way to handle such storage references to other contracts is to use linking. If, for example, we have the following test code\
contract TestContract is Test {
MyContract myContract;
function setUp() external {
myContract = new MyContract();
}
...
}
then add to the .conf
file:\
"files": [
"...",
"path/to/MyContract.sol"
],
"link": [
"...",
"TestContract:myContract=MyContract"
]
This way when the Prover encounters myContract.foo()
it knows what the implementation of foo
is and is able to inline it.
Only a subset of the Foundry cheatcodes are currently implemented. The implemented cheatcodes include
vm.assume
, allassert*
cheatcodes,vm.expectRevert
,prank
,startPrank
,stopPrank
,warp
, anddeal
. Some other cheatcodes are irrelevant and are ignored, and many cheatcodes are not yet supported. One can recognize these by checking the Contracts Call Resolutions tab of the report - unimplemented cheatcodes will appear there as unresolved calls (which will usually lead to havocs and therefore spurious counter examples). In this case, please contact Certora so we can implement the required cheatcode.In cases where no explicit revert is expected, and the goal is to verify values or state using
assert*
cheatcodes, you can useverifyFoundryFuzzTestsNoRevert
. This ignores all code paths that lead to a revert while still verifying theassert*
cheatcodes.In Foundry, the
vm.expectRevert
cheatcode can optionally take a specific revert reason. Foundry verifies both that the test function reverted and that it reverted with the specified reason. In contrast, the Prover does not analyze the revert reason. As a result, if the test function reverts for a reason other than the expected one, the test will still be marked as successful.