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Windows
Analysis Report
file.exe
Overview
General Information
| Sample name: | file.exe |
| Analysis ID: | 1543330 |
| MD5: | 7e8f6d6eb856aab8b82676176035c78f |
| SHA1: | 72d70bec6a141e294077ff50273c7b611095cf4f |
| SHA256: | a21df6df28630c19eabf468f3b4e1b6b95d451310619a79c0c8392298c86bf7c |
| Tags: | exeuser-Bitsight |
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Detection
LummaC
| Score: | 100 |
| Range: | 0 - 100 |
| Whitelisted: | false |
| Confidence: | 100% |
Signatures
Antivirus / Scanner detection for submitted sample
Detected unpacking (changes PE section rights)
Found malware configuration
Multi AV Scanner detection for dropped file
Suricata IDS alerts for network traffic
Yara detected LummaC Stealer
AI detected suspicious sample
C2 URLs / IPs found in malware configuration
Disable Windows Defender notifications (registry)
Disable Windows Defender real time protection (registry)
Disables Windows Defender Tamper protection
Found many strings related to Crypto-Wallets (likely being stolen)
Hides threads from debuggers
LummaC encrypted strings found
Machine Learning detection for dropped file
Machine Learning detection for sample
Modifies windows update settings
PE file contains section with special chars
Query firmware table information (likely to detect VMs)
Sample uses string decryption to hide its real strings
Tries to detect process monitoring tools (Task Manager, Process Explorer etc.)
Tries to detect sandboxes / dynamic malware analysis system (registry check)
Tries to detect sandboxes and other dynamic analysis tools (window names)
Tries to detect virtualization through RDTSC time measurements
Tries to evade debugger and weak emulator (self modifying code)
Tries to harvest and steal browser information (history, passwords, etc)
Tries to harvest and steal ftp login credentials
Tries to steal Crypto Currency Wallets
AV process strings found (often used to terminate AV products)
Allocates memory with a write watch (potentially for evading sandboxes)
Checks for debuggers (devices)
Checks if Antivirus/Antispyware/Firewall program is installed (via WMI)
Checks if the current process is being debugged
Contains capabilities to detect virtual machines
Contains functionality for execution timing, often used to detect debuggers
Contains long sleeps (>= 3 min)
Detected potential crypto function
Downloads executable code via HTTP
Drops PE files
Enables debug privileges
Entry point lies outside standard sections
IP address seen in connection with other malware
Internet Provider seen in connection with other malware
JA3 SSL client fingerprint seen in connection with other malware
May sleep (evasive loops) to hinder dynamic analysis
PE file contains an invalid checksum
PE file contains sections with non-standard names
Queries sensitive BIOS Information (via WMI, Win32_Bios & Win32_BaseBoard, often done to detect virtual machines)
Queries the volume information (name, serial number etc) of a device
Sample file is different than original file name gathered from version info
Searches for user specific document files
Suricata IDS alerts with low severity for network traffic
Uses 32bit PE files
Uses a known web browser user agent for HTTP communication
Uses code obfuscation techniques (call, push, ret)
Yara detected Credential Stealer
Classification
| Name | Description | Attribution | Blogpost URLs | Link |
|---|---|---|---|---|
| Lumma Stealer, LummaC2 Stealer | Lumma Stealer (aka LummaC2 Stealer) is an information stealer written in C language that has been available through a Malware-as-a-Service (MaaS) model on Russian-speaking forums since at least August 2022. It is believed to have been developed by the threat actor "Shamel", who goes by the alias "Lumma". Lumma Stealer primarily targets cryptocurrency wallets and two-factor authentication (2FA) browser extensions, before ultimately stealing sensitive information from the victim's machine. Once the targeted data is obtained, it is exfiltrated to a C2 server via HTTP POST requests using the user agent "TeslaBrowser/5.5"." The stealer also features a non-resident loader that is capable of delivering additional payloads via EXE, DLL, and PowerShell. | No Attribution |
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AV Detection |
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