干货 | Python调AWVS接口新建扫描并导出扫描报告过程记录
2023-1-31 20:0:45 Author: 渗透安全团队(查看原文) 阅读量:24 收藏

本文详细介绍了利用python调用AWVS 14.x中提供的四个内置接口，验证的流程为：

1.将目标URL添加到targets队列，扫描准备；

2.将targets队列中任务添加到scans队列，进行扫描；

3.将scans队列中的任务通过generate添加到reports队列，生成扫描报告；

4.从reports队列中导出扫描报告。

验证的三个接口为：

/api/v1/targets

/api/v1/scans

/api/v1/reports

本人的B站讲解视频：https://www.bilibili.com/video/BV1NY4y1B7p2/

第二期实现批量扫描：https://blog.csdn.net/qq_45859826/article/details/124082529

import json
import time
from datetime import datetime
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
tarurl = "https://localhost:3443"
apikey = "1986ad8c0a5b3df4d7028d5f3c06e936c1fc7e549ff144a089c34a12b23d572fa"
headers = {"X-Auth": apikey, "Content-type": "application/json;charset=utf8"}
# 查看所有目标结果
def targets():
    api_url = tarurl + '/api/v1/targets'
    r = requests.get(url=api_url, headers=headers, verify=False)
    print(r.json())
# 添加targets目标，获取target_id
def post_targets(url):
    api_url = tarurl + '/api/v1/targets'
    data = {
        "address": url,
        "description": "wyt_target",
        "criticality": "10"
    }
    data_json = json.dumps(data)
    r = requests.post(url=api_url, headers=headers, data=data_json, verify=False)
    target_id = r.json().get("target_id")
    print('target_id:', target_id)
    return target_id
# 添加scans
def scans(url):
    api_url = tarurl + '/api/v1/scans'
    data = {
        "target_id": url,
        "profile_id": "11111111-1111-1111-1111-111111111112",
        "schedule":
            {"disable": False,
             "start_date": None,
             "time_sensitive": False
             }
    }
    data_json = json.dumps(data)
    r = requests.post(url=api_url, headers=headers, data=data_json, verify=False)
    # target_id = r.json().get("target_id")
    # print(r.json)
# 获取scan_id，通过start_date可知，最新生成的为第一个
def scan_id():
    api_url = tarurl + '/api/v1/scans'
    # print(api_url)
    r = requests.get(url=api_url, headers=headers, verify=False)
    scan_id = r.json().get("scans")[0].get("scan_id")
    print('scan_id:', scan_id)
    return scan_id
# 添加generate，并获取generate_id
def generate(url):
    api_url = tarurl + '/api/v1/reports'
    data = {
        "template_id": "11111111-1111-1111-1111-111111111115",
        "source": {
            "list_type": "scans",
            "id_list": [url]
        }
    }
    data_json = json.dumps(data)
    r = requests.post(url=api_url, headers=headers, data=data_json, verify=False)
    # print(r.json)
# 生成扫描报告,每次新生成的都在第一个
def html():
    api_url = tarurl + '/api/v1/reports'
    # print(api_url)
    r = requests.get(url=api_url, headers=headers, verify=False)
    html = r.json().get("reports")[0].get("download")[0]
    url_html = tarurl + html
    print('报告地址：', url_html)
    r_html = requests.get(url=url_html, headers=headers, verify=False)
    time_now = datetime.now().strftime('%Y-%m-%d %H%M%S')
    with open("report-" + time_now + ".html", "wb") as code:
        code.write(r_html.content)
        code.close()
def pdf():
    api_url = tarurl + '/api/v1/reports'
    # print(api_url)
    r = requests.get(url=api_url, headers=headers, verify=False)
    pdf = r.json().get("reports")[0].get("download")[1]
    url_pdf = tarurl + pdf
    print('报告地址：', url_pdf)
    r_html = requests.get(url=url_pdf, headers=headers, verify=False)
    time_now = datetime.now().strftime('%Y-%m-%d %H%M%S')
    with open("report-" + time_now + ".pdf", "wb") as code:
        code.write(r_html.content)
        code.close()
if __name__ == '__main__':
    # targets()
    # 添加到targets队列
    target_id = post_targets("http://8.8.8.8/")
    time.sleep(5)
    # 添加到scans队列
    scans(target_id)
    time.sleep(5)
    # 获取scan_id,并生成generate
    scan_id = scan_id()
    generate(scan_id)
    time.sleep(5)
    # 生成扫描报告
    # pdf()
    html()

返回结果：

Acunetix是一个专业好用的漏洞扫描工具，提供一些内置API接口，可供调用。因毕业设计，对其中一些接口进行了测试，以下为测试文档。

1.获取 API-KEY

「Administrator」-「Profile」-「API Key」-「Copy」

API-KEY：1986ad8c0a5b3df4d7028d5f3c06e936c1fc7e549ff144a089c34a12b23d572fa

2.Header 设置

1.接口介绍

X-Auth:API-KEY
Content-type:application/json;charset=utf8

2.python代码

apikey = "1986ad8c0a5b3df4d7028d5f3c06e936c1fc7e549ff144a089c34a12b23d572fa"
headers = {"X-Auth": apikey, "Content-type": "application/json;charset=utf8"}
tarurl = "https://localhost:3443"

3.屏蔽警告 

from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)

1.查看Targets扫描队列

1.接口介绍

Method: GET 
URL: /api/v1/targets

2.python代码

api_url = tarurl + '/api/v1/targets'
r = requests.get(url=api_url, headers=headers, verify=False)
print(r.json())   #返回结果为json格式

3.返回结果

{
  'targets': [
  {
	 'address': 'http://192.168.137.129/',
	 'continuous_mode': False, 
 	 'criticality': 10, 
 	 'default_scanning_profile_id': None,
	 'deleted_at': None,
	 'description': 'http://192.168.137.129/', 
	 'fqdn': '192.168.137.129', 
	 'fqdn_hash': '4d9a6f1d9e94cce236acd2d397fdc5ce', 
	 'fqdn_status': 'new', 
	 'fqdn_tm_hash': 'f3c47dc4029759660937dd3f55c685c2', 
	 'issue_tracker_id': None, 'last_scan_date': '2022-03-28T18:07:52.178043+08:00',
	 'last_scan_id': 'b7eab683-8708-4cfc-9d3a-2e3c989fbae5',
 	 'last_scan_session_id': 'b3b15334-44ed-4dd7-8363-b874c7ec0947', 
     'last_scan_session_status': 'completed', 
 	 'manual_intervention': None, 
	 'severity_counts': {
	 	'high': 0, 
	 	'info': 0,
	 	'low': 0,
 		'medium': 0
	 }, 
	 'target_id': '73e0d89a-6323-446a-a00c-691a884b286b', 
	 'threat': 0, 
	 'type': None, 
	 'verification': None
  },
    'pagination': 
  {
 	 'count': 11, 
	 'cursor_hash': '8f629dd49f910b9202eb0da5d51fdb6e', 
	 'cursors': [None], 
	 'sort': None
  }
}

4.参数说明

参数说明
targets目标详细信息
pagination分页信息

targets:

参数说明
address扫描目标网址
continuous_mode是否连续模式
criticality危险程度
description描述
last_scan_date最近扫描的日期
last_scan_id最近扫描的id
last_scan_session_id最近扫描的session id
last_scan_session_status最近的扫描状态
manual_intervention手动干预
severity_counts漏洞等级个数分布
target_id目标id
threat威胁等级
type类型
verification验证

2.添加任务到Targets扫描队列，并返回target_id

1.接口介绍

Method: POST 
URL: /api/v1/targets

2.python代码

api_url = tarurl + '/api/v1/targets'
data = {
   "address": url,
   "description": "wyt_target",
   "criticality": "10"
 }
data_json = json.dumps(data)
r = requests.post(url=api_url, headers=headers, data=data_json, verify=False)
target_id = r.json().get("target_id")
print(target_id)

3.返回结果

87527c66-665b-4920-bde7-c56e5297f8b0

3.添加targets队列中的任务到scans

1.接口介绍

Method: POST
URL: /api/v1/scans

2.data介绍

data = 
{
    "target_id": "ec78d77d-6e26-4994-8d46-7fa8deae11b9",
    "profile_id": "11111111-1111-1111-1111-111111111112",
    "schedule":
      {
          "disable": False,
          "start_date": None,
          "time_sensitive": False
      }
}

3.python代码

api_url = tarurl + '/api/v1/scans'
data = {
        "target_id": url,
        "profile_id": "11111111-1111-1111-1111-111111111112",
        "schedule": {
            "disable": False,
            "start_date": None,
            "time_sensitive": False
        }
  }
data_json = json.dumps(data)
r = requests.post(url=api_url, headers=headers, data=data_json, verify=False)

4.发送参数说明

参数类型说明
profile_idstring扫描类型
ui_session_istring可不传
incrementalbool增加的
schedulejson扫描时间设置(默认即时)
report_template_idstring扫描报告类型(可不传)
target_idstring目标id

profile_id：

类型值意义
Full Scan11111111-1111-1111-1111-111111111111完全扫描
High Risk Vulnerabilities11111111-1111-1111-1111-111111111112高风险漏洞
Cross-site Scripting Vulnerabilities11111111-1111-1111-1111-111111111116
XSS漏洞

SQL Injection Vulnerabilities11111111-1111-1111-1111-111111111113SQL注入漏洞
Weak Passwords11111111-1111-1111-1111-111111111115弱口令检测
Crawl Only11111111-1111-1111-1111-111111111117Crawl Only
Malware Scan11111111-1111-1111-1111-111111111120恶意软件扫描

4.获取scan_id

1.接口介绍

Method: GET 
URL: /api/v1/scans

2.代码

api_url = tarurl + '/api/v1/scans'
r = requests.get(url=api_url, headers=headers, verify=False)
print(r.json().get("scans")[0])
scan_id = r.json().get("scans")[0].get("scan_id")

3.返回结果

{
	'criticality': 10, 
	'current_session': {
		'event_level': 2, 
		'progress': 100, 
		'scan_session_id': '7be91fbd-f904-4c6f-a33c-909cddb7a9c8',
		'severity_counts': {
			'high': 0, 
			'info': 0,
			'low': 0, 
			'medium': 0
			}, 
		'start_date': '2022-04-03T19:05:05.089001+08:00', 
		'status': 'completed', 
		'threat': 0
		}, 
	'incremental': False, 
	'max_scan_time': 0, 
	'next_run': None, 
	'profile_id': '11111111-1111-1111-1111-111111111112', 
	'profile_name': 'High Risk', 
	'report_template_id': None, 
	'scan_id': '5b9222cc-a21b-4b11-b1a5-6d6d5856d74a', 
	'schedule': {
		'disable': False, 
		'history_limit': None, 
		'recurrence': None, 
		'start_date': None, 
		'time_sensitive': False, 
		'triggerable': False
		}, 
	'target': {
		'address': 'http://6.6.6.6/', 
		'criticality': 10, 
		'description': 'wyt_target', 
		'type': 'default'
		}, 
	'target_id': '0944cef3-411e-4d4c-8647-4655f0b1e52b'
}

4.返回参数说明

参数说明
criticality危险程度
current_session当前会话
start_date开始扫描时间
status扫描状态
threat威胁性
incremental额外的？
manual_intervention人工干预
max_scan_time最大扫描时间
next_run下一轮
profile_id扫描类型
profile_name扫描类型名称
report_template_id扫描报告模板id
scan_id扫描id
schedule时间表
target目标相关的信息
target_id目标id

5.导出报告-生成gennerate

1.接口介绍

Method: POST 
URL: /api/v1/reports

2.data介绍

data = {
        "template_id": "11111111-1111-1111-1111-111111111115",
        "source": {
            "list_type": "scans",
            "id_list": ["87527c66-665b-4920-bde7-c56e5297f8b0"]
        }
}

3.python代码

api_url = tarurl + '/api/v1/reports'
data = {
        "template_id": "11111111-1111-1111-1111-111111111115",
        "source": {
            "list_type": "scans",
            "id_list": [url]
        }
 }
data_json = json.dumps(data)
r = requests.post(url=api_url, headers=headers,data=data_json, verify=False)
print(r.json)

4.返回结果

{
	'pagination': {
		'count': 5, 
		'cursor_hash': '8f629dd49f910b9202eb0da5d51fdb6e', 
		'cursors': [None], 
		'sort': None}, 
		'reports': [
		{
			'download':	[
				'/api/v1/reports/download/4df097a941830e36be6665ab908e40a27c2d0528d503a70ce9b77f72592bc73e05bc9f8d624994d71482b153-bd3b-4c36-8d21-0886c07f4739.html', 
				'/api/v1/reports/download/1c3fa9b4f76396cedcda1e857e5bfe0053fcd9653bf55d1344a5e99bd1b53366fa10c36a624994d71482b153-bd3b-4c36-8d21-0886c07f4739.pdf'
			], 
			'generation_date': '2022-04-03T19:33:46.118619+08:00', 
			'report_id': '1482b153-bd3b-4c36-8d21-0886c07f4739', 
			'source': {
				'list_type': 'scans', 
				'description': 'http://6.6.6.6/;wyt_target', 
				'id_list': ['5b9222cc-a21b-4b11-b1a5-6d6d5856d74a']
			}, 
			'status': 'completed', 
			'template_id': '11111111-1111-1111-1111-111111111115',
		    'template_name': 'Affected Items', 
			'template_type': 0
			}
		]
}

5.发送参数说明

参数类型说明
template_idString扫描报名模板类型
list_typeString值为: scans
id_listString值为: scan_id

template_id:

类型值
Affected Items11111111-1111-1111-1111-111111111115
CWE 201111111111-1111-1111-1111-111111111116
Developer11111111-1111-1111-1111-111111111111
Executive Summary11111111-1111-1111-1111-111111111113
HIPAA11111111-1111-1111-1111-111111111114
ISO 2700111111111-1111-1111-1111-111111111117
NIST SP800 5311111111-1111-1111-1111-111111111118
OWASP Top 10 201311111111-1111-1111-1111-111111111119
PCI DSS 3.211111111-1111-1111-1111-111111111120
Quick11111111-1111-1111-1111-111111111112
Sarbanes Oxley11111111-1111-1111-1111-111111111121
Scan Comparison11111111-1111-1111-1111-111111111124
STIG DISA11111111-1111-1111-1111-111111111122
WASC Threat Classification11111111-1111-1111-1111-111111111123

6.返回参数说明

参数说明
generation_date生成时间
template_type模板类型
report_id报告id
template_name模板名字
status状态
template_id模板id
download下载链接[html, pdf]
source来源
description备注

6.导出报告-html/pdf

1.接口介绍

Method: GET
URL: /api/v1/reports

2.python代码

api_url = tarurl + '/api/v1/reports'
r = requests.get(url=api_url, headers=headers, verify=False)
html = r.json().get("reports")[0].get("download")[0]
# pdf = r.json().get("reports")[0].get("download")[1]
url_html = tarurl + html
r_html = requests.get(url=url_html, headers=headers, verify=False)
with open("report.html", "wb") as code:
     code.write(r_html.content)
     code.close()

这篇文章缘起于我的本科毕业设计”漏洞分析系统设计“，首先感谢各位师傅的优秀博文分享，给了迷茫中的我许多灵感：

国光师傅的AWVS API文档：https://www.sqlsec.com/2020/04/awvsapi.html#toc-heading-32

h4rdy师傅的AWVS API文档：https://github.com/h4rdy/Acunetix11-API-Documentation

Recar师傅的AWVS测试文件：https://blog.csdn.net/qq_28295425/article/details/81051954

-https://blog.csdn.net/qq_45859826/article/details/123944724

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