GHSA-jj7c-x25r-r8r3
GHSA-jj7c-x25r-r8r3 is a CWE-131 vulnerability in brillig. O3 Security confirms whether GHSA-jj7c-x25r-r8r3 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.
Brillig: Heap corruption in foreign call results with nested tuple arrays
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
brilligReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects crates.io packages — download data is not available via public APIs for these ecosystems.
Description
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.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🦀crates.io | brillig | all versions | 1.0.0-beta.19 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for brillig. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update brillig to 1.0.0-beta.19 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-jj7c-x25r-r8r3 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-jj7c-x25r-r8r3 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-jj7c-x25r-r8r3. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-jj7c-x25r-r8r3 in your dependencies?
O3 detects GHSA-jj7c-x25r-r8r3 across crates.io dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.