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Submitted URL: http://arcticwolf.com/resources/blog/lost-in-the-fog-a-new-ransomware-threat/
Effective URL: https://arcticwolf.com/resources/blog/lost-in-the-fog-a-new-ransomware-threat/
Submission: On June 13 via api from DE — Scanned from DE
Effective URL: https://arcticwolf.com/resources/blog/lost-in-the-fog-a-new-ransomware-threat/
Submission: On June 13 via api from DE — Scanned from DE
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* Arctic Wolf 2024 Trends Report: Explore the State of Cybersecurity
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EXPERIENCED A BREACH? CONTACT US
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Ransomware Explained
UNDERSTANDING RANSOMWARE — FROM ITS ORIGINS TO ITS IMPACTS TO THE TTPS
THAT ALLOW RANSOMWARE GANGS TO EXPLOIT VICTIM ORGANIZATIONS AND MAKE
OFF WITH MILLIONS IN RANSOM PAYMENTS AND EXTORTION FEES.
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Arctic Wolf Labs 2024 Threat Report
THE ELITE SECURITY RESEARCHERS, DATA SCIENTISTS, AND SECURITY
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WITH PRACTICAL GUIDANCE YOU CAN APPLY TO PROTECT YOUR ORGANIZATION.
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* June 4, 2024
CVE-2024-4358 & CVE-2024-1800: POC EXPLOIT PUBLISHED FOR
PRE-AUTHENTICATED RCE CHAIN IN PROGRESS TELERIK REPORT SERVER
June 3, 2024
STOLEN CREDENTIAL CAMPAIGN AFFECTING SNOWFLAKE ENVIRONMENTS
May 30, 2024
OKTA CROSS-ORIGIN AUTHENTICATION FEATURE IN CUSTOMER IDENTITY CLOUD
TARGETED IN CREDENTIAL STUFFING ATTACKS
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* EXPERIENCED A BREACH?
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< BACK TO BLOG
* June 4, 2024
* by Stefan Hostetler, Steven Campbell, Christopher Prest, Connor Belfiore,
Markus Neis, Joe Wedderspoon, Rick McQuown and Arctic Wolf Labs Team
LOST IN THE FOG: A NEW RANSOMWARE THREAT
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SUMMARY
On May 2, 2024, Arctic Wolf Labs began monitoring deployment of a new ransomware
variant referred to as Fog. The ransomware activity was observed in several
Arctic Wolf Incident Response cases, each exhibiting similar elements. All
victim organizations were located in the United States, 80% of which were in the
education sector and 20% in the recreation sector.
We are sharing details of this emerging variant to help organizations defend
against this threat. Please note that we may add further detail to this article
as we uncover additional information in our ongoing investigation.
ABOUT FOG RANSOMWARE
Starting in early May, the Arctic Wolf Incident Response team began
investigating cases involving the deployment of the Fog ransomware variant
against US organizations in the education and recreation sectors.
We refer to Fog as a ransomware variant rather than a group to distinguish
between the entities responsible for creating the encryptor software and those
conducting the hands-on-keyboard attacks against victims. This is a critical
distinction because ransomware groups sometimes project an image of being a
singular group when they are in fact composed of independent affiliate groups.
At this time, the organizational structure of the group or groups responsible
for carrying out attacks deploying Fog ransomware is unknown.
In each of the cases investigated, forensic evidence indicated that threat
actors were able to access victim environments by leveraging compromised VPN
credentials. Notably, the remote access occurred through two separate VPN
gateway vendors. The last documented threat activity in our cases occurred on
May 23, 2024.
Early in one of the cases, pass-the-hash activity was observed against
administrator accounts which were subsequently used to establish RDP connections
to Windows Servers running Hyper-V and Veeam. In another case, evidence of
credential stuffing was observed, which was thought to facilitate lateral
movement throughout the environment. In all cases, PsExec was deployed to
several hosts, and RDP/SMB were used to access targeted hosts.
On Windows Servers that the threat actors interacted with, Windows Defender was
disabled by the threat actors. Threat actors were observed encrypting VMDK files
in VM storage and deleting backups from object storage in Veeam. Threat actors
left behind ransom notes on affected systems and deployed a functionally
identical ransomware payload in all cases. Other than a unique chat code, the
ransom notes were identical. Other than the .onion address used for
communication between the victim and threat actor, we have not observed an
additional dark web presence such as a data leak site.
TECHNICAL ANALYSIS
RANSOMWARE PAYLOAD
The ransomware encryptor binary exhibits common techniques that are typically
leveraged in other ransomware variants. The samples we analyzed from different
cases contained many similarities, including identical functional code blocks
and instructions, indicating that they were compiled from the same source code.
When the sample first executes, it attempts to create a new file called
DbgLog.sys in the special directory %AppData%. The DbgLog.sys file is populated
with log lines indicating the status and error conditions of the ransomware as
each technique is executed.
During the initialization routine, the sample references NTDLL.DLL and the
function NtQuerySystemInformation. Notably, the NT API is part of the Windows
internal APIs and is typically recommended not to be called directly since it
can change with each version of Windows. The NtQuerySystemInformation function
allows the caller to obtain information about the current system’s physical
details such as the number of logical processors available. This information can
be useful when determining how many threads the multi-threaded encryption
routine should allocate.
Once the initialization routine is complete, the command line arguments are
checked for specific options:
* NOMUTEX: Does not create a mutex, this will allow multiple versions of the
ransomware to execute at the same time.
* TARGET: Specific location to begin discovery.
* CONSOLE: Create a new console window for the calling process and attach the
standard output and error.
Further customization is present in the sample via a JSON based configuration
block. The following configurable options will control what activities takes
place pre and post encryption:
* RSAPubKey: Embedded public key used for encryption
* LockedExt: Post encryption file extension
* NotefileName: Name of the ransomware note
* ShutdownProcesses: Ensures the processes are terminated prior to encrypting
* ShutdownServices: Ensures the services are stopped prior to encrypting
Volumes, network resources, and files are discovered using the standard Windows
APIs such as: FindFirstVolume, WNetOpenEnum and FindFirstFile. The Unicode
variants of these functions were used in each case.
Using the system information discovered earlier, the sample configures a thread
pool dedicated to encrypting all the discovered files. This thread pool uses the
logical processor information with a minimum number of two processors and a
maximum number of sixteen processors. The deprecated Windows APIs for
CryptImportKey and the CryptEncrypt are called during the process.
Once the encryption is complete, the file extension is added to each file using
the Unicode version of the MoveFile Windows API and the LockedExt option, in the
cases observed the extensions .FOG and .FLOCKED were configured. A ransom note
is written to the disk using the configured Notefilename option located in the
configuration block, in the cases observed the note file was named readme.txt.
Before the sample terminates, the volume shadow copy is deleted by creating a
new process via the CreateProcess function with the command line: vssadmin.exe
delete shadows /all /quiet. By deleting the volume shadow copy using the /all
switch, the sample will delete all the specified volume’s shadow copies, and the
/quiet switch will ensure no messages are displayed during the deletion.
TACTICS, TECHNIQUES, AND PROCEDURES (TTPS)
Tactic Technique Sub-techniques or Tools Initial Access T1133: External Remote
Services T1078: Valid Accounts • Compromised VPN Credentials Discovery T1046:
Network Service Discovery • SoftPerfect Network Scanner
• Advanced Port Scanner T1135: Network Share Discovery • SharpShares Lateral
Movement T1021: Remote Services • T1021.001: Remote Desktop Protocol
• T1021.002: SMB/Windows Admin Shares T1570: Lateral Tool Transfer • PsExec
Credential Access T1003: OS Credential Dumping • T1003.003: NTDS T1555:
Credentials from Password Stores • PowerShell script (Veeam-Get-Creds.ps1) to
obtain passwords from the Veeam Backup and Replication Credentials Manager
T1110: Brute Force • T1110.004: Credential Stuffing Persistence T1136: Create
Account • T1136.001: Local Account (Administrator) Execution T1059: Command and
Scripting Interpreter • T1059.003: Windows Command Shell T1569: System Services
• T1569.002: Service Execution (PsExec) Defense Evasion T1562: Impair Defenses •
T1562.001: Disable or Modify Tools (Windows Defender/AV) T1550: Use Alternate
Authentication Material • T1550.002: Pass the Hash T1078: Valid Accounts
T1140: Deobfuscate/Decode Files or Information T1070: Indicator Removal •
T1070.004: File Deletion Impact T1486: Data Encrypted for Impact T1490:
Inhibit System Recovery • vssadmin.exe used to delete volume shadow copies on
the system T1489: Service Stop
TOOLS
Name Description PsExec A tool that allows threat actors to execute processes on
other systems with full interactivity for console applications. The threat actor
leveraged PsExec to move laterally and execute commands. Metasploit Penetration
testing framework. Metasploit usage was detected against a Veaam server.
SoftPerfect Network Scanner Network administration tool for Windows, macOS, and
Linux. The threat actor used SoftPerfect to discover network services. Advanced
Port Scanner Free network and port scanner. The threat actor used Advanced Port
Scanner to discover network services. SharpShares An open-source tool used to
enumerate accessible network shares. The threat actor used SharpShares v2.3 to
discover network shares. Veeam-Get-Creds.ps1 An open-source PowerShell script
used by the threat actor to obtain passwords from the Veeam Backup and
Replication Credentials Manager
HOW ARCTIC WOLF PROTECTS ITS CUSTOMERS
Arctic Wolf is committed to ending cyber risk with its customers, and when
active ransomware campaigns are identified we move quickly to protect our
customers.
Arctic Wolf Labs has leveraged threat intelligence around Fog ransomware to
implement new detections in the Arctic Wolf Platform to protect Managed
Detection and Response (MDR) customers. As we discover any new information, we
will enhance our detections to account for additional indicators of compromise
and techniques leveraged by this threat actor.
CONCLUSION
While few details are known about the threat actors involved, the shared
functional code blocks between ransomware payloads suggest that the same source
code was shared between the payloads. This may implicate the involvement of a
common entity between the cases. On the other hand, despite similarities,
evidence tying together the cases under a single threat actor is not conclusive.
The threat actors in the cases described here show an interest in rapid
encryption of VM storage data and ransom payment for decryption of that data.
Diverging from common practice in most ransomware intrusions, the threat actors
were not observed to exfiltrate data from hosts being encrypted.
Considering the short duration between initial intrusion and encryption, the
threat actors appear more interested in a quick payout as opposed to exacting a
more complex attack involving data exfiltration and a high-profile leak site.
This evidence, along with known victimology, suggests that the threat actors are
financially motivated and primarily target the education sector.
Although the tactics employed in these cases are fairly typical of ransomware
activity, these threats serve as a reminder of the importance of secure,
off-site backup infrastructure and defense-in-depth to render attacks impotent
as early as possible.
APPENDIX
INDICATORS OF COMPROMISE (IOCS)
Indicator Type Description f7c8c60172f9ae4dab9f61c28ccae7084da90a06 SHA1 Fog
ransomware binary (lck.exe) 507b26054319ff31f275ba44ddc9d2b5037bd295 SHA1 Fog
ransomware binary (locker_out.exe) e1fb7d15408988df39a80b8939972f7843f0e785 SHA1
Fog ransomware binary (fs.exe) 83f00af43df650fda2c5b4a04a7b31790a8ad4cf SHA1 Fog
ransomware binary (locker_out.exe) 44a76b9546427627a8d88a650c1bed3f1cc0278c SHA1
Fog ransomware binary (mon.dll) eeafa71946e81d8fe5ebf6be53e83a84dcca50ba SHA1
PsExec (psexesvc.exe) 763499b37aacd317e7d2f512872f9ed719aacae1 SHA1 Advanced
Port Scanner (advanced_port_scanner.exe)
3477a173e2c1005a81d042802ab0f22cc12a4d55 SHA1 Advanced Port Scanner
(advanced_port_scanner_2.5.3869.exe) 90be89524b72f330e49017a11e7b8a257f975e9a
SHA1 SharpShares (sharpshares(1).exe) DESKTOP-7G1IC87 Hostname Threat actor’s
hostname Kali Hostname Threat actor’s hostname VPS65CCB8B75352 Hostname Threat
actor’s hostname PACKERP-VUDV41R Hostname Threat actor’s hostname readme.txt
Filename Ransom note DBgLog.sys Filename Log file created by ransomware binary
Veeam-Get-Creds.ps1 Filename PowerShell script used to obtain passwords from
Veeam Backup and Replication Credentials Manager PSEXESVC.exe Filename PsExec
netscan.exe Filename SoftPerfect Network Scanner .flocked File Extension
Appended file extension to encrypted files .fog File Extension Appended file
extension to encrypted files 5.230.33[.]176 IP Address IP address used by the
threat actor to login to VPN appliance 77.247.126[.]200 IP Address IP address
used by the threat actor to login to VPN appliance 107.161.50[.]26 IP Address IP
address used by the threat actor to login to VPN appliance
DETECTION OPPORTUNITIES
ENDPOINT
The Veeam-Get-Creds.ps1 PowerShell script includes the following strings:
[System.Security.Cryptography.ProtectedData]::Unprotect
[System.Security.Cryptography.DataProtectionScope]::LocalMachine
SqlDatabaseName
Detecting occurrences of all 3 strings in PowerShell script block logging may be
able to identify usage of this tool.
As part of our Managed Detection and Response service, Arctic Wolf has
detections in place for this technique, in addition to other techniques employed
by this threat actor.
ADDITIONAL RESOURCES
Get forward-thinking insights along with practical guidance you can apply to
your organization in the Arctic Wolf Labs 2024 Threat Report.
Learn what’s new, what’s changed, and what’s ahead for the cybersecurity
landscape, with insights from 1,000 global IT and security leaders in the Arctic
Wolf State of Cybersecurity: 2024 Trends Report.
ABOUT ARCTIC WOLF LABS
Arctic Wolf Labs is a group of elite security researchers, data scientists, and
security development engineers who explore security topics to deliver
cutting-edge threat research on new and emerging adversaries, develop and refine
advanced threat detection models with artificial intelligence, including machine
learning, and drive continuous improvement in the speed, scale, and detection
efficacy of Arctic Wolf’s solution offerings. With their deep domain knowledge,
Arctic Wolf Labs brings world-class security innovations to not only Arctic
Wolf’s customer base, but the security community at large.
AUTHORS
STEFAN HOSTETLER
Stefan is a Senior Threat Intelligence Researcher at Arctic Wolf. With over a
decade of industry experience under his belt, he focuses on extracting
actionable insight from novel threats to help organizations protect themselves
effectively.
STEVEN CAMPBELL
Steven Campbell is a Lead Threat Intelligence Researcher at Arctic Wolf Labs and
has more than eight years of experience in intelligence analysis and security
research. He has a strong background in infrastructure analysis and adversary
tradecraft.
CHRISTOPHER PREST
Christopher is a Lead Security Researcher and a 17-year veteran in Software and
Application security development, coupled with 2 years of cutting edge detection
engineering and security research. A seasoned expert, Christopher focuses on
Malware analysis and reverse engineering to shape the future of cybersecurity.
CONNOR BELFIORE
Connor Belfiore is a Senior Threat Intelligence Analyst at Arctic Wolf Incident
Response. He has more than five years of experience in threat intelligence,
financial crimes investigation, and blockchain analysis.
MARKUS NEIS
Markus Neis is a Principal Threat Intelligence Researcher in Arctic Wolf Labs
focused on leading advanced threat research. He has more than a decade of
experience in researching adversary tradecraft and responding to sophisticated
attacks.
JOE WEDDERSPOON
Joe Wedderspoon is a Sr. Forensic Analyst at Arctic Wolf Incident Response,
focused on leading complex incident response and digital forensic
investigations. He holds multiple certifications and has over 6 years of
operational experience in incident response, defensive cyber operations, and
researching adversary tradecraft in both the public and private sectors.
RICK MCQUOWN
Rick McQuown is a senior forensic Analyst at Arctic Wolf Incident Response and a
22-year veteran of digital forensic investigations specializing in full disk
image forensics. Over the years, Rick has trained hundreds of forensic
practitioners in advanced forensics, including EnCase and Memory Forensics.
STEFAN HOSTETLER, STEVEN CAMPBELL, CHRISTOPHER PREST, CONNOR BELFIORE, MARKUS
NEIS, JOE WEDDERSPOON, RICK MCQUOWN AND ARCTIC WOLF LABS TEAM
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Table of Contents
* Summary
* About Fog Ransomware
* Technical Analysis
* Tactics, Techniques, and Procedures (TTPs)
* Tools
* How Arctic Wolf Protects Its Customers
* Conclusion
* Appendix
* Detection Opportunities
* Additional Resources
* About Arctic Wolf Labs
* Authors
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