GHSA-jj7c-x25r-r8r3

Suggest an improvement
Source
https://github.com/advisories/GHSA-jj7c-x25r-r8r3
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/04/GHSA-jj7c-x25r-r8r3/GHSA-jj7c-x25r-r8r3.json
JSON Data
https://api.osv.dev/v1/vulns/GHSA-jj7c-x25r-r8r3
Aliases
Published
2026-04-21T20:16:09Z
Modified
2026-05-05T16:10:00Z
Severity
  • 9.3 (Critical) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N CVSS Calculator
Summary
Brillig: Heap corruption in foreign call results with nested tuple arrays
Details

Description

Noir programs can invoke external functions through foreign calls. When compiling to Brillig bytecode, the SSA instructions are processed block-by-block in BrilligBlock::compile_block(). When the compiler encounters an Instruction::Call with a Value::ForeignFunction target, it invokes codegen_call() in brillig_call/code_gen_call.rs, which dispatches to convert_ssa_foreign_call().

Before emitting the foreign call opcode, the compiler must pre-allocate memory for any array results the call will return. This happens through allocate_external_call_results(), which iterates over the result types. For Type::Array results, it delegates to allocate_foreign_call_result_array() to recursively allocate memory on the heap for nested arrays.

The BrilligArray struct is the internal representation of a Noir array in Brillig IR. Its size field represents the semi-flattened size, the total number of memory slots the array occupies, accounting for the fact that composite types like tuples consume multiple slots per element. This size is computed by compute_array_length() in brillig_block_variables.rs:

pub(crate) fn compute_array_length(item_typ: &CompositeType, elem_count: usize) -> usize {
    item_typ.len() * elem_count
}

For the outer array, allocate_external_call_results() correctly uses define_variable(), which internally calls allocate_value_with_type(). This function applies the formula above, producing the correct semi-flattened size.

However, for nested arrays, allocate_foreign_call_result_array() contains a bug. When it encounters a nested Type::Array(types, nested_size), it calls:

Type::Array(_, nested_size) => { 
	let inner_array = self.brillig_context.allocate_brillig_array(*nested_size as usize);
	// ....
}

The pattern Type::Array(_, nested_size) discards the inner types with _ and uses only nested_size, the semantic length of the nested array (the number of logical elements), not the semi-flattened size. For simple element types this works correctly, but for composite element types it under-allocates. Consider a nested array of type [(u32, u32); 3]:

  • Semantic length: 3 (three tuples)
  • Element size: 2 (each tuple has two fields)
  • Required semi-flattened size: 6 memory slots

The current code passes 3 to allocate_brillig_array(), which then calls codegen_initialize_array(). This function allocates array.size + ARRAY_META_COUNT slots, only 4 slots instead of the required 7 (6 data + 1 metadata). When the VM executes the foreign call and writes 6 values plus metadata, it overwrites adjacent heap memory.

Impact

Foreign calls returning nested arrays of tuples or other composite types corrupt the Brillig VM heap.

Recommendation

Multiply the semantic length by the number of element types when allocating nested arrays. Extract the inner types from the pattern and replace the nested_size argument to allocate_brillig_array() with types.len() * nested_size to compute the semi-flattened size. Alternatively, reuse the existing compute_array_length() helper function to maintain consistency with outer array allocation.

Database specific
{
    "cwe_ids":  [
        "CWE-131"
    ],
    "github_reviewed":  true,
    "github_reviewed_at":  "2026-04-21T20:16:09Z",
    "nvd_published_at":  "2026-04-23T02:16:18Z",
    "severity":  "CRITICAL"
}
References

Affected packages

crates.io / brillig

Package

Name
brillig
View open source insights on deps.dev
Purl
pkg:cargo/brillig

Affected ranges

Type
SEMVER
Events
Introduced
0 Unknown introduced version / All previous versions are affected
Fixed
1.0.0-beta.19

Database specific

last_known_affected_version_range
"<= 1.0.0-beta.18"
source
"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/04/GHSA-jj7c-x25r-r8r3/GHSA-jj7c-x25r-r8r3.json"