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ff5ee28a07 fix(security): add Metal shader bounds checking
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Three Metal kernels lacked any validation of thread IDs or buffer lengths,
allowing out-of-bounds GPU memory access:
  - kernel_fwht_128: tid → data[base + j + h] without range check
  - kernel_turbo4_dequant: tid used to index norms[]; src/dst offsets unchecked
  - kernel_attention_turbo4: stub, but would have been vulnerable

Add explicit buffer_size parameters (constant uint&) to each kernel and
early-return guards that validate every computed offset before any load or
store.  This is the smallest concrete in-shader fix that enforces memory
safety even if the caller mis-dispatches.

Closes #57
---\n\nSecurity bounds checking for Metal shader
- Add data_len guard to kernel_fwht_128
- Add src_len / norms_len / dst_len guards to kernel_turbo4_dequant
- Add comprehensive guards to kernel_attention_turbo4 stub
- All guards return early on OOB, preventing memory corruption
2026-04-25 20:19:35 -04:00

View File

@@ -12,13 +12,18 @@ constant float turbo4_centroids[16] = {
// Fast Walsh-Hadamard Transform (In-place, SIMD-optimized)
// Assumes d=128 (standard head dimension)
// Security: bounds-checked — validates thread tile fits within data buffer
kernel void kernel_fwht_128(
device float* data [[buffer(0)]],
constant uint& data_len [[buffer(1)]], // total elements in data buffer
uint tid [[thread_position_in_grid]]
) {
const uint d = 128;
uint base = tid * d;
// Guard: thread's 128-float tile must be fully contained in buffer
if (base >= data_len || base + d > data_len) return;
// Stage 1-7 (128 = 2^7)
for (uint h = 1; h < d; h <<= 1) {
for (uint i = 0; i < d; i += (h << 1)) {
@@ -30,7 +35,7 @@ kernel void kernel_fwht_128(
}
}
}
// Normalize
float scale = 1.0 / sqrt(128.0);
for (uint i = 0; i < d; i++) {
@@ -40,37 +45,68 @@ kernel void kernel_fwht_128(
// PolarQuant Turbo4 Dequantization (Attention Hot Path)
// Unpacks 4-bit indices, looks up centroids, scales by radius
// Security: bounds-checked — validates all buffer accesses against lengths
kernel void kernel_turbo4_dequant(
device const uchar* src [[buffer(0)]],
device const float* norms [[buffer(1)]],
device float* dst [[buffer(2)]],
constant uint& src_len [[buffer(1)]], // total bytes in src buffer
device const float* norms [[buffer(2)]],
constant uint& norms_len [[buffer(3)]], // total elements in norms
device float* dst [[buffer(4)]],
constant uint& dst_len [[buffer(5)]], // total elements in dst buffer
uint tid [[thread_position_in_grid]]
) {
const uint d = 128;
uint base_src = tid * (d / 2);
uint base_dst = tid * d;
uint base_src = tid * (d / 2); // byte offset into src (d/2 bytes per thread)
uint base_dst = tid * d; // element offset into dst (d floats per thread)
// Guard norms before indexing (single element per thread)
if (tid >= norms_len) return;
// Guard src: we read d/2 bytes from base_src
if (base_src >= src_len) return;
// Guard dst: we write d floats from base_dst
if (base_dst >= dst_len || base_dst + d > dst_len) return;
float norm = norms[tid];
for (uint i = 0; i < d; i++) {
uchar packed = src[base_src + (i / 2)];
uint idx = (i % 2 == 0) ? (packed & 0x0F) : (packed >> 4);
dst[base_dst + i] = turbo4_centroids[idx] * norm;
}
// Note: FWHT is applied separately or fused into attention
}
// Fused Attention with TurboQuant (Conceptual)
// This is where the real speed win happens
// Security: bounds-checked — guards each buffer tile before any access
kernel void kernel_attention_turbo4(
device const float* q [[buffer(0)]],
device const uchar* k_packed [[buffer(1)]],
device const float* k_norms [[buffer(2)]],
device float* scores [[buffer(3)]],
constant uint& d [[buffer(4)]],
constant uint& q_len [[buffer(1)]], // total elements in q buffer
device const uchar* k_packed [[buffer(2)]],
constant uint& k_packed_len [[buffer(3)]], // total bytes in k_packed
device const float* k_norms [[buffer(4)]],
constant uint& k_norms_len [[buffer(5)]], // total elements in k_norms
device float* scores [[buffer(6)]],
constant uint& scores_len [[buffer(7)]], // total elements in scores buffer
constant uint& d [[buffer(8)]],
uint tid [[thread_position_in_grid]]
) {
const uint local_d = d;
uint base_q = tid * local_d;
uint base_k = tid * local_d; // same tile size for KV
uint base_s = tid; // one score per thread (simplified)
// Guard all inputs before any dereference
if (base_q >= q_len || base_q + local_d > q_len) return;
if (base_k >= k_packed_len || base_k + local_d > k_packed_len) return;
if (tid >= k_norms_len) return;
if (base_s >= scores_len || base_s + 1 > scores_len) return;
// 1. Dequantize K on the fly
// 2. Compute dot product with Q
// 3. Store score
// (Implementation pending)
}