| # Copyright (c) 2026 Alibaba Group and its affiliates | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # ============================================================ | |
| # Challenge: aliyunctf-2025-Misc-easy-cuda-rev | |
| # Writeup (from instruction.md) - commented out below. | |
| # ============================================================ | |
| # | |
| # | |
| # > 以下为解题 writeup 全文,供参考。 | |
| # | |
| # 最近,受到 DeepSeek 直接使用 PTX 汇编编写优化部分 cuda 代码的启发,设计了一道简单的 cuda 逆向题目,让选手学习 PTX 汇编,遥遥领先! | |
| # | |
| # | |
| # 选手需要了解一些 cuda 的基本编程模式(并行计算编程),例如 cuda 核函数、gird、block、threads 、block 同步。学习并行编程与传统编程模型的差异。 | |
| # | |
| # | |
| # cuda 逆向需要的一些二进制工具,主要以 cuda 开发包提供的 binutils 为主。 | |
| # | |
| # | |
| # 逆向反汇编 easy_cuda 程序 | |
| # | |
| # ```bash | |
| # cuobjdump easy_cuda -sass -ptx | |
| # ``` | |
| # | |
| # | |
| # 然后,根据官方指令手册以及自己编译的 CUDA 程序,对比在短时间内快速学习 PTX 汇编。同时,也可以借助 LLMs 辅助理解 PTX 汇编。 | |
| # | |
| # 题目设计了一个简单的分组算法,分组长度为 256 字节,算法分为了 6 个加密过程。 | |
| # | |
| # 为了降低题目的难度,题目输出了每个加密过程的中间结果,选手可以通过观察输入和输出分析算法。最后一个加密过程无法仅通过观察输入和输出进行总结,需要选手认真逆向 PTX 汇编。同时,选手也可以通过观察输入输出与 PTX 汇编的对比来进行学习。 | |
| # | |
| # | |
| # 题目中涉及的算法,涉及到较多次循环计算,建议用 cuda 实现编程实现解题脚本。 | |
| # | |
| # | |
| # 如下是最终实现的解题程序 | |
| # | |
| # ```c | |
| # #define XOR_LOOPS 0xA00000 | |
| # #define XOR_ROUNDS 0x5 | |
| # #define TEA_ROUNDS 0xA00000 | |
| # | |
| # __global__ void decrypt_kernel(unsigned char* data, unsigned char key) { | |
| # int tid = threadIdx.x; | |
| # int i = blockIdx.x * blockDim.x + tid; | |
| # | |
| # data[i] = data[i] ^ i; | |
| # | |
| # if(tid < blockDim.x && tid % 8 == 0) { | |
| # unsigned int v0 = *(unsigned int *)(data + i); | |
| # unsigned int v1 = *(unsigned int *)(data + i + 4); | |
| # | |
| # unsigned int sum = 0; | |
| # for(unsigned j = 0; j < TEA_ROUNDS; j++) { | |
| # sum += 0x9e3779b9; | |
| # } | |
| # | |
| # for(unsigned j = 0; j < TEA_ROUNDS; j++) { | |
| # v1 -= ((v0 << 4) + 0x3c6ef372) ^ (v0 + sum) ^ ((v0 >> 5) + 0x14292967); | |
| # v0 -= ((v1 << 4) + 0xa341316c) ^ (v1 + sum) ^ ((v1 >> 5) + 0xc8013ea4); | |
| # | |
| # sum -= 0x9e3779b9; | |
| # } | |
| # *(unsigned int *)(data + i) = v0; | |
| # *(unsigned int *)(data + i + 4) = v1; | |
| # } | |
| # __syncthreads(); | |
| # | |
| # | |
| # if (tid > 0 && tid < blockDim.x && tid % 2 == 1) { | |
| # int cj = blockIdx.x * blockDim.x + tid; | |
| # int cj1 = blockIdx.x * blockDim.x + (tid + 1) % blockDim.x; | |
| # unsigned tmp = data[cj]; | |
| # data[cj] = data[cj1]; | |
| # data[cj1] = tmp; | |
| # } | |
| # __syncthreads(); | |
| # | |
| # | |
| # if(tid % 2 == 0 && tid < blockDim.x) { | |
| # int cj = blockIdx.x * blockDim.x + tid; | |
| # int cj1 = blockIdx.x * blockDim.x + (tid + 1) % blockDim.x; | |
| # unsigned tmp = data[cj]; | |
| # data[cj] = data[cj1]; | |
| # data[cj1] = tmp; | |
| # } | |
| # __syncthreads(); | |
| # | |
| # if (tid == 0) { | |
| # for(int j = blockDim.x - 1; j >= 0; j--) { | |
| # int cj = blockIdx.x * blockDim.x + j; | |
| # int cj1 = blockIdx.x * blockDim.x + (j + 1) % blockDim.x; | |
| # data[cj] = data[cj] ^ data[cj1] ^ key; | |
| # } | |
| # } | |
| # __syncthreads(); | |
| # | |
| # unsigned char ch = data[i]; | |
| # for(int k = 0; k < XOR_ROUNDS; k++) { | |
| # for(int j = XOR_LOOPS - 1; j >= 0; j--) { | |
| # ch = ch ^ (j & 0xFF); | |
| # ch = (ch << 4) | (ch >> 4); | |
| # ch = RT[ch]; | |
| # } | |
| # } | |
| # ch = (ch << 4) | (ch >> 4); | |
| # ch = ch ^ ((key + i*73) % 256); | |
| # data[i] = ch; | |
| # } | |
| # | |
| # void cuda_decrypt(unsigned char* data, int len, unsigned char key) { | |
| # unsigned char *d_data; | |
| # cudaMalloc(&d_data, len); | |
| # cudaMemcpy(d_data, data, len, cudaMemcpyHostToDevice); | |
| # decrypt_kernel<<<(len+255)/256, 256>>>(d_data, key); | |
| # cudaMemcpy(data, d_data, len, cudaMemcpyDeviceToHost); | |
| # cudaFree(d_data); | |
| # } | |
| # ``` | |
| # | |
| # ## Hints | |
| # | |
| # - 熟悉CUDA并行计算架构,重点理解线程/块/网格层级关系、共享内存访问模式及同步原语。 | |
| # - 借助官方二进制分析工具提取目标文件的PTX中间表示与底层机器码,建立逆向分析基础。 | |
| # - 利用题目暴露的各阶段中间输出数据,通过输入输出特征对比逐步推导分组加密的变换规律。 | |
| # - 针对末尾高复杂度循环结构,需逐行对照汇编指令还原核心解密算法的具体数学逻辑。 | |
| # - 鉴于解题过程涉及海量迭代运算,建议将还原后的算法逻辑重构为CUDA核函数在GPU上加速执行。 | |
| # | |
| # ============================================================ | |
| # End of Writeup | |
| # ============================================================ | |
| # --- Direct flag solution --- | |
| # Decode and write the flag so that running this script solves the challenge. | |
| mkdir -p /logs/agent | |
| echo -n 'YWxpeXVuY3Rme0NVREEtSVMtRlVOLTIzMyF9' | base64 -d > /logs/agent/flag.txt | |