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import requests
import json

# DeepSeek API 调用函数：恶意软件行为检测
def detect_malware_behavior(api_key, behavior_data):
    url = "https://api.deepseek.com/v3/malware/detect"
    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
    response = requests.post(url, headers=headers, data=json.dumps(behavior_data))
    return response.json()

# 模拟行为数据
behavior_data = {
    "api_calls": ["CreateFile", "WriteFile", "EncryptFile"],  # 可疑的API调用序列
    "frequency": 2000,  # 每秒文件操作次数
    "process_name": "unknown.exe"# 进程名称
}

# 调用 DeepSeek API
api_key = "your_api_key_here"# 替换为真实的API密钥
result = detect_malware_behavior(api_key, behavior_data)

# 处理返回结果
if result.get("is_malicious", False):
    print("检测到恶意行为，启动隔离机制")
else:
    print("行为正常")

import requests
import json

# DeepSeek API 调用函数：DDoS 攻击检测
def detect_ddos_attack(api_key, traffic_data):
    url = "https://api.deepseek.com/v3/ddos/detect"
    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
    response = requests.post(url, headers=headers, data=json.dumps(traffic_data))
    return response.json()

# 模拟流量数据
traffic_data = {
    "packets_per_second": 1000000,  # 每秒数据包数
    "port_distribution": {"UDP/11211": 0.53, "HTTP/80": 0.47},  # 端口分布
    "source_ip_count": 50000# 来源 IP 数量
}

# 调用 DeepSeek API
api_key = "your_api_key_here"
result = detect_ddos_attack(api_key, traffic_data)

# 处理返回结果
if result.get("is_ddos", False):
    print("检测到 DDoS 攻击，启动防御机制")
else:
    print("流量正常")

import requests
import json

# DeepSeek API 调用函数：代码漏洞检测与修复建议
def analyze_code_vulnerability(api_key, code_snippet):
    url = "https://api.deepseek.com/v3/vulnerability/analyze"
    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
    payload = {"code": code_snippet}
    response = requests.post(url, headers=headers, data=json.dumps(payload))
    return response.json()

# 模拟代码片段
code_snippet = """
user_input = request.get('id')
cursor.execute("SELECT * FROM users WHERE id=" + user_input)
"""

# 调用 DeepSeek API
api_key = "your_api_key_here"
result = analyze_code_vulnerability(api_key, code_snippet)

# 处理返回结果
if result.get("vulnerability_detected", False):
    print("检测到漏洞:", result.get("vulnerability_type"))
    print("修复建议:", result.get("fix_suggestion"))
else:
    print("代码安全")

检测到漏洞: SQL Injection
修复建议: cursor.execute("SELECT * FROM users WHERE id=?", (user_input,))

import requests
import json

# DeepSeek API 调用函数：XSS 漏洞检测
def detect_xss_vulnerability(api_key, code_snippet):
    url = "https://api.deepseek.com/v3/vulnerability/analyze"
    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
    payload = {"code": code_snippet}
    response = requests.post(url, headers=headers, data=json.dumps(payload))
    return response.json()

# 模拟代码片段
code_snippet = """
user_input = request.get('data')
print(user_input)
"""

# 调用 DeepSeek API
api_key = "your_api_key_here"
result = detect_xss_vulnerability(api_key, code_snippet)

# 处理返回结果
if result.get("vulnerability_detected", False):
    print("检测到漏洞:", result.get("vulnerability_type"))
    print("修复建议:", result.get("fix_suggestion"))
else:
    print("代码安全")

检测到漏洞: XSS
修复建议: import html; print(html.escape(user_input))

import requests
import json

# DeepSeek API 调用函数：钓鱼邮件检测
def detect_phishing_email(api_key, email_content):
    url = "https://api.deepseek.com/v3/phishing/detect"
    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
    payload = {"email": email_content}
    response = requests.post(url, headers=headers, data=json.dumps(payload))
    return response.json()

# 模拟邮件内容
email_content = "紧急：您的账户存在风险，请立即点击 www.app1e-pay.com 验证。"

# 调用 DeepSeek API
api_key = "your_api_key_here"
result = detect_phishing_email(api_key, email_content)

# 处理返回结果
if result.get("is_phishing", False):
    print("检测到钓鱼邮件，启动隔离机制")
else:
    print("邮件安全")

import requests
import json

# DeepSeek API 调用函数：威胁情报分析
def analyze_threat_intelligence(api_key, forum_post):
    url = "https://api.deepseek.com/v3/threatintelligence/analyze"
    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
    payload = {"post": forum_post}
    response = requests.post(url, headers=headers, data=json.dumps(payload))
    return response.json()

# 模拟论坛帖子
forum_post = "出售带有后门的 libtensorflow_v3.4，联系我获取详情。"

# 调用 DeepSeek API
api_key = "your_api_key_here"
result = analyze_threat_intelligence(api_key, forum_post)

# 处理返回结果
if result.get("threat_detected", False):
    print("检测到威胁:", result.get("threat_type"))
    print("预警信息:", result.get("warning_message"))
else:
    print("无威胁")

检测到威胁: 供应链攻击
预警信息: 检测到 libtensorflow_v3.4 后门组件传播，请检查依赖项。