Retadup
A botnet Retadup foi detectado pela primeira vez em 2017, quando esse botnet estava crescendo e invadindo redes vulneráveis rapidamente. No entanto, o botnet Retadup foi finalmente desativado depois que os pesquisadores de segurança cibernética e as autoridades policiais da França conseguiram localizar os servidores C&C (Comando & Controle) do botnet e apreenderam o equipamento. No seu auge, o botnet Retadup tinha mais de 850.000 dispositivos comprometidos que eram usados para a mineração de criptomoedas e para lançar ataques DDoS (Distributed-Denial-of-Service).
O malware Retadup tem uma lista impressionante de recursos. Ele pode:
- Coletar dados do host comprometido e envia-los para os servidores de C&C dos invasores.
- Auto-replicar-se para se propagar ainda mais.
- Plantar um módulo de criptografia, que explora a moeda digital Monero.
Uma vez que as autoridades francesas assumiram os servidores do botnet Retadup, eles descobriram meros US $4.500 gerados nas carteiras de Monero dos cibercriminosos. No entanto, é provável que isso seja apenas uma pequena fração do dinheiro que os cibercriminosos responsáveis pelo botnet do Retadup coletaram. Quando as autoridades assumiram a operação, enviaram um comando kill-switch para todas as 850.000 cópias ativas do malware Retadup. Isso limpou a praga de todos os sistemas infectados com sucesso.
É provável que os operadores do botnet Retadup possam ter vendido o acesso à rede a outros indivíduos suspeitos. O ataque do malware Retadup foi frequentemente seguido pela introdução de malwares adicionais (infostealers ou ransomware) em fases posteriores - isso provavelmente significa que os criminosos estavam vendendo acesso a dispositivos infectados.
Certifique-se de obter uma ferramenta anti-malware respeitável para proteger seu sistema contra ameaças como o malware Retadup e evitar tornar-se parte de um esquema de botnet. o
Índice
Relatório de análise
Informação geral
| Family Name: | Worm.Retadup |
|---|---|
| Signature status: | Hash Mismatch |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
30ec7cfb529ba6a701d17e337c1e61b3
SHA1:
8b3cd71afe5fd68e26c632fe2ac24799339b4ac7
SHA256:
77983E71F989FA48FF343D9A30872E44B99F676738EBCD8724A5C69049D15C58
Tamanho do Arquivo:
983.04 KB, 983040 bytes
|
|
MD5:
c46ada598ad283ab844942d51f58f8ef
SHA1:
38b06e3b157fc565e706f7ac6889d7997f65056f
SHA256:
360C50A4528F06A8AC843CB8F3D327DC70B53CAF910CA642EA12A65F188790B3
Tamanho do Arquivo:
940.50 KB, 940495 bytes
|
|
MD5:
d88dec187f49bdec53b5c1be368dd8d5
SHA1:
734dd1126c18991d8912c94ede86914f38cc7d13
SHA256:
DF510B0F83F3B481D012558A0919C9B1F8AA61583127F93FC7FB8A9ABB2F3650
Tamanho do Arquivo:
868.35 KB, 868352 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have exports table
- File doesn't have relocations information
- File is 32-bit executable
- File is 64-bit executable
- File is either console or GUI application
- File is GUI application (IMAGE_SUBSYSTEM_WINDOWS_GUI)
- File is Native application (NOT .NET application)
- File is not packed
- IMAGE_FILE_DLL is not set inside PE header (Executable)
Show More
- IMAGE_FILE_EXECUTABLE_IMAGE is set inside PE header (Executable Image)
File Icons
File Icons
This section displays icon resources found within family samples. Malware often replicates icons commonly associated with legitimate software to mislead users into believing the malware is safe.
Windows PE Version Information
Windows PE Version Information
This section displays values and attributes that have been set in the Windows file version information data structure for samples within this family. To mislead users, malware actors often add fake version information mimicking legitimate software.| Nome | Valor |
|---|---|
| Comments | This is the AutoIt script parser built for Ultra Virus Killer |
| Company Name | Carifred |
| File Description | Ultra Virus Killer AutoIt script parser |
| File Version | 1.0.0.0 |
| Internal Name | AutoItRun |
| Legal Copyright | Carifred © 2010 - 2016 |
| Legal Trademarks | Carifred.com |
| Original Filename | AutoItRun.exe |
| Product Name | Ultra Virus Killer |
| Product Version | 10.0.0.0 |
Digital Signatures
Digital Signatures
This section lists digital signatures that are attached to samples within this family. When analyzing and verifying digital signatures, it is important to confirm that the signature’s root authority is a well-known and trustworthy entity and that the status of the signature is good. Malware is often signed with non-trustworthy “Self Signed” digital signatures (which can be easily created by a malware author with no verification). Malware may also be signed by legitimate signatures that have an invalid status, and by signatures from questionable root authorities with fake or misleading “Signer” names.| Signer | Root | Status |
|---|---|---|
| Alfredo Anibal Santos Silva | COMODO RSA Code Signing CA | Hash Mismatch |
| Alfredo Anibal Santos Silva | COMODO RSA Code Signing CA | Hash Mismatch |
Block Information
Block Information
During analysis, EnigmaSoft breaks file samples into logical blocks for classification and comparison with other samples. Blocks can be used to generate malware detection rules and to group file samples into families based on shared source code, functionality and other distinguishing attributes and characteristics. This section lists a summary of this block data, as well as its classification by EnigmaSoft. A visual representation of the block data is also displayed, where available.| Total Blocks: | 4,157 |
|---|---|
| Potentially Malicious Blocks: | 0 |
| Whitelisted Blocks: | 4,157 |
| Unknown Blocks: | 0 |
Visual Map
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0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
...
Data truncated
0 - Probable Safe Block
? - Unknown Block
x - Potentially Malicious Block
? - Unknown Block
x - Potentially Malicious Block
Similar Families
Similar Families
This section lists other families that share similarities with this family, based on EnigmaSoft’s analysis. Many malware families are created from the same malware toolkits and use the same packing and encryption techniques but uniquely extend functionality. Similar families may also share source code, attributes, icons, subcomponents, compromised and/or invalid digital signatures, and network characteristics. Researchers leverage these similarities to rapidly and effectively triage file samples and extend malware detection rules.- Autoit
- Delf.Q
- Filecoder.DF
- Philadelphia.A
- Philadelphia.B
Files Modified
Files Modified
This section lists files that were created, modified, moved and/or deleted by samples in this family. File system activity can provide valuable insight into how malware functions on the operating system.| File | Attributes |
|---|---|
| c:\program files\common files\system\symsrv.dll | Generic Write,Read Attributes |
Registry Modifications
Registry Modifications
This section lists registry keys and values that were created, modified and/or deleted by samples in this family. Windows Registry activity can provide valuable insight into malware functionality. Additionally, malware often creates registry values to allow itself to automatically start and indefinitely persist after an initial infection has compromised the system.| Key::Value | Dados | API Name |
|---|---|---|
| HKLM\software\wow6432node\microsoft\windows nt\currentversion\windows::appinit_dlls | C:\PROGRA~1\COMMON~1\System\symsrv.dll | RegNtPreCreateKey |
| HKLM\software\wow6432node\microsoft\windows nt\currentversion\windows::loadappinit_dlls | RegNtPreCreateKey | |
| HKLM\software\wow6432node\microsoft\windows nt\currentversion\windows::requiresignedappinit_dlls | RegNtPreCreateKey |
Windows API Usage
Windows API Usage
This section lists Windows API calls that are used by the samples in this family. Windows API usage analysis is a valuable tool that can help identify malicious activity, such as keylogging, security privilege escalation, data encryption, data exfiltration, interference with antivirus software, and network request manipulation.| Category | API |
|---|---|
| Syscall Use |
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| Anti Debug |
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| User Data Access |
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