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bpf, verifier: Improve precision of BPF_MUL #4708
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bpf, verifier: Improve precision of BPF_MUL #4708
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At least one diff in series https://patchwork.kernel.org/project/netdevbpf/list/?series=912598 expired. Closing PR. |
This patch improves (or maintains) the precision of register value tracking in BPF_MUL across all possible inputs. It also simplifies scalar32_min_max_mul() and scalar_min_max_mul(). As it stands, BPF_MUL is composed of three functions: case BPF_MUL: tnum_mul(); scalar32_min_max_mul(); scalar_min_max_mul(); The current implementation of scalar_min_max_mul() restricts the u64 input ranges of dst_reg and src_reg to be within [0, U32_MAX]: /* Both values are positive, so we can work with unsigned and * copy the result to signed (unless it exceeds S64_MAX). */ if (umax_val > U32_MAX || dst_reg->umax_value > U32_MAX) { /* Potential overflow, we know nothing */ __mark_reg64_unbounded(dst_reg); return; } This restriction is done to avoid unsigned overflow, which could otherwise wrap the result around 0, and leave an unsound output where umin > umax. We also observe that limiting these u64 input ranges to [0, U32_MAX] leads to a loss of precision. Consider the case where the u64 bounds of dst_reg are [0, 2^34] and the u64 bounds of src_reg are [0, 2^2]. While the multiplication of these two bounds doesn't overflow and is sound [0, 2^36], the current scalar_min_max_mul() would set the entire register state to unbounded. The key idea of our patch is that if there’s no possibility of overflow, we can multiply the unsigned bounds; otherwise, we set the 64-bit bounds to [0, U64_MAX], marking them as unbounded. if (check_mul_overflow(*dst_umax, src_reg->umax_value, dst_umax) || (check_mul_overflow(*dst_umin, src_reg->umin_value, dst_umin))) { /* Overflow possible, we know nothing */ dst_reg->umin_value = 0; dst_reg->umax_value = U64_MAX; } ... Now, to update the signed bounds based on the unsigned bounds, we need to ensure that the unsigned bounds don't cross the signed boundary (i.e., if ((s64)reg->umin_value <= (s64)reg->umax_value)). We observe that this is done anyway by __reg_deduce_bounds later, so we can just set signed bounds to unbounded [S64_MIN, S64_MAX]. Deferring the assignment of s64 bounds to reg_bounds_sync removes the current redundancy in scalar_min_max_mul(), which currently sets the s64 bounds based on the u64 bounds only in the case where umin <= umax <= 2^(63)-1. Below, we provide an example BPF program (below) that exhibits the imprecision in the current BPF_MUL, where the outputs are all unbounded. In contrast, the updated BPF_MUL produces a bounded register state: BPF_LD_IMM64(BPF_REG_1, 11), BPF_LD_IMM64(BPF_REG_2, 4503599627370624), BPF_ALU64_IMM(BPF_NEG, BPF_REG_2, 0), BPF_ALU64_IMM(BPF_NEG, BPF_REG_2, 0), BPF_ALU64_REG(BPF_AND, BPF_REG_1, BPF_REG_2), BPF_LD_IMM64(BPF_REG_3, 809591906117232263), BPF_ALU64_REG(BPF_MUL, BPF_REG_3, BPF_REG_1), BPF_MOV64_IMM(BPF_REG_0, 1), BPF_EXIT_INSN(), Verifier log using the old BPF_MUL: func#0 @0 0: R1=ctx() R10=fp0 0: (18) r1 = 0xb ; R1_w=11 2: (18) r2 = 0x10000000000080 ; R2_w=0x10000000000080 4: (87) r2 = -r2 ; R2_w=scalar() 5: (87) r2 = -r2 ; R2_w=scalar() 6: (5f) r1 &= r2 ; R1_w=scalar(smin=smin32=0,smax=umax=smax32=umax32=11,var_off=(0x0; 0xb)) R2_w=scalar() 7: (18) r3 = 0xb3c3f8c99262687 ; R3_w=0xb3c3f8c99262687 9: (2f) r3 *= r1 ; R1_w=scalar(smin=smin32=0,smax=umax=smax32=umax32=11,var_off=(0x0; 0xb)) R3_w=scalar() ... Verifier using the new updated BPF_MUL (more precise bounds at label 9) func#0 @0 0: R1=ctx() R10=fp0 0: (18) r1 = 0xb ; R1_w=11 2: (18) r2 = 0x10000000000080 ; R2_w=0x10000000000080 4: (87) r2 = -r2 ; R2_w=scalar() 5: (87) r2 = -r2 ; R2_w=scalar() 6: (5f) r1 &= r2 ; R1_w=scalar(smin=smin32=0,smax=umax=smax32=umax32=11,var_off=(0x0; 0xb)) R2_w=scalar() 7: (18) r3 = 0xb3c3f8c99262687 ; R3_w=0xb3c3f8c99262687 9: (2f) r3 *= r1 ; R1_w=scalar(smin=smin32=0,smax=umax=smax32=umax32=11,var_off=(0x0; 0xb)) R3_w=scalar(smin=0,smax=umax=0x7b96bb0a94a3a7cd,var_off=(0x0; 0x7fffffffffffffff)) ... Finally, we proved the soundness of the new scalar_min_max_mul() and scalar32_min_max_mul() functions. Typically, multiplication operations are expensive to check with bitvector-based solvers. We were able to prove the soundness of these functions using Non-Linear Integer Arithmetic (NIA) theory. Additionally, using Agni [2,3], we obtained the encodings for scalar32_min_max_mul() and scalar_min_max_mul() in bitvector theory, and were able to prove their soundness using 16-bit bitvectors (instead of 64-bit bitvectors that the functions actually use). In conclusion, with this patch, 1. We were able to show that we can improve the overall precision of BPF_MUL. We proved (using an SMT solver) that this new version of BPF_MUL is at least as precise as the current version for all inputs. 2. We are able to prove the soundness of the new scalar_min_max_mul() and scalar32_min_max_mul(). By leveraging the existing proof of tnum_mul [1], we can say that the composition of these three functions within BPF_MUL is sound. [1] https://ieeexplore.ieee.org/abstract/document/9741267 [2] https://link.springer.com/chapter/10.1007/978-3-031-37709-9_12 [3] https://people.cs.rutgers.edu/~sn349/papers/sas24-preprint.pdf Co-developed-by: Harishankar Vishwanathan <[email protected]> Signed-off-by: Harishankar Vishwanathan <[email protected]> Co-developed-by: Srinivas Narayana <[email protected]> Signed-off-by: Srinivas Narayana <[email protected]> Co-developed-by: Santosh Nagarakatte <[email protected]> Signed-off-by: Santosh Nagarakatte <[email protected]> Signed-off-by: Matan Shachnai <[email protected]>
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Pull request for series with
subject: bpf, verifier: Improve precision of BPF_MUL
version: 1
url: https://patchwork.kernel.org/project/netdevbpf/list/?series=912598