提出 #1009476: Tencent ncnn master 3b7bdba Out-of-Bounds Read情報

タイトルTencent ncnn master 3b7bdba Out-of-Bounds Read
説明Out-of-bounds read in Tencent ncnn (src/layer/matmul.cpp and src/layer/x86/gemm_x86_avx.cpp). MatMul::forward hands both runtime inputs to an internal Gemm sublayer and derives the K dimension strictly from the first input A (const int K = A.w), with no cross-input consistency check against the second input B's width. A model declaring A.w greater than B.w makes the gemm B-matrix packer (transpose_pack_B_tile) read B's columns according to K=A.w, past the B allocation. CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H (Base 7.1, High) Confirmed via ASAN on x86_64 Linux (gcc 15.2): ==43122==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x73d9923e0280 READ of size 16 at 0x73d9923e0280 thread T0 #0 _mm_loadu_ps (xmmintrin.h:982) #1 transpose_pack_B_tile (gemm_x86_avx.cpp:1958) #2 ncnn::gemm_x86 (gemm_x86_avx.cpp:3029) #5 ncnn::Gemm_x86_avx::forward (gemm_x86_avx.cpp:3896) #6 ncnn::MatMul_x86_avx::forward (matmul_x86_avx.cpp:178) Verified: baseline model with A.w equal to B.w (8x8) runs clean (extract ret=0); the A.w=8, B.w=4 model crashes deterministically. Triggered by loading an attacker-controlled model file through the normal load_param + load_model + extract flow; no authentication or special configuration required. Consequences: deterministic crash (denial of service) plus a limited out-of-bounds read that may leak adjacent heap data when the read lands in a mapped region. No write primitive; no RCE developed. No upstream fix as of 2026-10-01. The layer-param hardening PR #7003 does not cover matmul.cpp, so the dynamic two-input case is unaffected by it.
ソース⚠️ https://github.com/Tencent/ncnn/issues/7034
ユーザー
 JerryGW (UID 99144)
送信2026年10月01日 11:31 (18 日 ago)
モデレーション2026年10月18日 15:41 (17 days later)
ステータス承諾済み
VulDBエントリ421752 [Tencent ncnn 迄 44b02dabdcf97499281a4692ebd65bad73dcf8b6 MatMul src/layer/matmul.cpp matmul_transb 情報漏えい]
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