Account Data Matching
How to check your program’s data accounts in both Anchor and Native Rust.
Summary
- Use data validation checks to verify that account data matches an expected value. Without appropriate data validation checks, unexpected accounts may be used in an instruction.
- To implement data validation checks in Rust, simply compare the data stored on
an account to an expected value.
- In Anchor, you can use
constraint
to checks whether the given expression evaluates to true. Alternatively, you can usehas_one
to check that a target account field stored on the account matches the key of an account in theAccounts
struct.
Lesson
Account data matching refers to data validation checks used to verify the data stored on an account matches an expected value. Data validation checks provide a way to include additional constraints to ensure the appropriate accounts are passed into an instruction.
This can be useful when accounts required by an instruction have dependencies on values stored in other accounts or if an instruction is dependent on the data stored in an account.
Missing data validation check
The example below includes an update_admin
instruction that updates the
admin
field stored on an admin_config
account.
The instruction is missing a data validation check to verify the admin
account
signing the transaction matches the admin
stored on the admin_config
account. This means any account signing the transaction and passed into the
instruction as the admin
account can update the admin_config
account.
Add data validation check
The basic Rust approach to solve this problem is to simply compare the passed in
admin
key to the admin
key stored in the admin_config
account, throwing an
error if they don’t match.
By adding a data validation check, the update_admin
instruction would only
process if the admin
signer of the transaction matched the admin
stored on
the admin_config
account.
Use Anchor constraints
Anchor simplifies this with the has_one
constraint. You can use the has_one
constraint to move the data validation check from the instruction logic to the
UpdateAdmin
struct.
In the example below, has_one = admin
specifies that the admin
account
signing the transaction must match the admin
field stored on the
admin_config
account. To use the has_one
constraint, the naming convention
of the data field on the account must be consistent with the naming on the
account validation struct.
Alternatively, you can use constraint
to manually add an expression that must
evaluate to true in order for execution to continue. This is useful when for
some reason naming can’t be consistent or when you need a more complex
expression to fully validate the incoming data.
Lab
For this lab we’ll create a simple “vault” program similar to the program we used in the Signer Authorization lesson and the Owner Check lesson. Similar to those labs, we’ll show in this lab how a missing data validation check could allow the vault to be drained.
1. Starter
To get started, download the starter code from the starter
branch of
this repository.
The starter code includes a program with two instructions and the boilerplate
setup for the test file.
The initialize_vault
instruction initializes a new Vault
account and a new
TokenAccount
. The Vault
account will store the address of a token account,
the authority of the vault, and a withdraw destination token account.
The authority of the new token account will be set as the vault
, a PDA of the
program. This allows the vault
account to sign for the transfer of tokens from
the token account.
The insecure_withdraw
instruction transfers all the tokens in the vault
account’s token account to a withdraw_destination
token account.
Notice that this instruction **does** have a signer check for
authority
and an owner check for vault
. However, nowhere in the account
validation or instruction logic is there code that checks that the authority
account passed into the instruction matches the authority
account on the
vault
.
2. Test insecure_withdraw
instruction
To prove that this is a problem, let’s write a test where an account other than
the vault’s authority
tries to withdraw from the vault.
The test file includes the code to invoke the initialize_vault
instruction
using the provider wallet as the authority
and then mints 100 tokens to the
vault
token account.
Add a test to invoke the insecure_withdraw
instruction. Use
withdrawDestinationFake
as the withdrawDestination
account and walletFake
as the authority
. Then send the transaction using walletFake
.
Since there are no checks the verify the authority
account passed into the
instruction matches the values stored on the vault
account initialized in the
first test, the instruction will process successfully and the tokens will be
transferred to the withdrawDestinationFake
account.
Run anchor test
to see that both transactions will complete successfully.
3. Add secure_withdraw
instruction
Let’s go implement a secure version of this instruction called
secure_withdraw
.
This instruction will be identical to the insecure_withdraw
instruction,
except we’ll use the has_one
constraint in the account validation struct
(SecureWithdraw
) to check that the authority
account passed into the
instruction matches the authority
account on the vault
account. That way
only the correct authority account can withdraw the vault’s tokens.
4. Test secure_withdraw
instruction
Now let’s test the secure_withdraw
instruction with two tests: one that uses
walletFake
as the authority and one that uses wallet
as the authority. We
expect the first invocation to return an error and the second to succeed.
Run anchor test
to see that the transaction using an incorrect authority
account will now return an Anchor Error while the transaction using correct
accounts completes successfully.
Note that Anchor specifies in the logs the account that causes the error
(AnchorError caused by account: vault
).
And just like that, you’ve closed up the security loophole. The theme across most of these potential exploits is that they’re quite simple. However, as your programs grow in scope and complexity, it becomse increasingly easy to miss possible exploits. It’s great to get in a habit of writing tests that send instructions that shouldn’t work. The more the better. That way you catch problems before you deploy.
If you want to take a look at the final solution code you can find it on the
solution
branch of
the repository.
Challenge
Just as with other lessons in this unit, your opportunity to practice avoiding this security exploit lies in auditing your own or other programs.
Take some time to review at least one program and ensure that proper data checks are in place to avoid security exploits.
Remember, if you find a bug or exploit in somebody else’s program, please alert them! If you find one in your own program, be sure to patch it right away.