Cервис управления информационной безопасностью
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MITRE ATT&CK
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SECURITM это SGRC система, ? автоматизирующая процессы в службах информационной безопасности. SECURITM помогает построить и управлять ИСПДн, КИИ, ГИС, СМИБ/СУИБ, банковскими системами защиты.
А еще SECURITM это место для обмена опытом и наработками для служб безопасности.
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Динамическое разрешение

ID Name
.001 Быстрая смена IP-адресов для DNS-записи
.002 Алгоритмы генерирования доменных имен
.003 Расчет на основе DNS

Adversaries may dynamically establish connections to command and control infrastructure to evade common detections and remediations. This may be achieved by using malware that shares a common algorithm with the infrastructure the adversary uses to receive the malware's communications. These calculations can be used to dynamically adjust parameters such as the domain name, IP address, or port number the malware uses for command and control. Adversaries may use dynamic resolution for the purpose of Fallback Channels. When contact is lost with the primary command and control server malware may employ dynamic resolution as a means to reestablishing command and control.(Citation: Talos CCleanup 2017)(Citation: FireEye POSHSPY April 2017)(Citation: ESET Sednit 2017 Activity)

ID: T1568
Суб-техники:  .001 .002 .003
Тактика(-и): Command and Control
Платформы: Linux, macOS, Windows
Требуемые разрешения: User
Источники данных: Network Traffic: Network Connection Creation, Network Traffic: Network Traffic Content, Network Traffic: Network Traffic Flow
Версия: 1.0
Дата создания: 10 Mar 2020
Последнее изменение: 11 Mar 2022

Примеры процедур
Название Описание
Tomiris

Tomiris has connected to a signalization server that provides a URL and port, and then Tomiris sends a GET request to that URL to establish C2.(Citation: Kaspersky Tomiris Sep 2021)
Gelsemium

Gelsemium can use dynamic DNS domain names in C2.(Citation: ESET Gelsemium June 2021)

For Operation Spalax, the threat actors used dynamic DNS services, including Duck DNS and DNS Exit, as part of their C2 infrastructure.(Citation: ESET Operation Spalax Jan 2021)
Transparent Tribe

Transparent Tribe has used dynamic DNS services to set up C2.(Citation: Proofpoint Operation Transparent Tribe March 2016)
BITTER

BITTER has used DDNS for C2 communications.(Citation: Forcepoint BITTER Pakistan Oct 2016)
RTM

RTM has resolved Pony C2 server IP addresses by either converting Bitcoin blockchain transaction data to specific octets, or accessing IP addresses directly within the Namecoin blockchain.(Citation: CheckPoint Redaman October 2019)(Citation: Unit42 Redaman January 2019)
NETEAGLE

NETEAGLE can use HTTP to download resources that contain an IP address and port number pair to connect to for C2.(Citation: FireEye APT30)
Maze

Maze has forged POST strings with a random choice from a list of possibilities including "forum", "php", "view", etc. while making connection with the C2, hindering detection efforts.(Citation: McAfee Maze March 2020)
APT29

APT29 used dynamic DNS resolution to construct and resolve to randomly-generated subdomains for C2.(Citation: Volexity SolarWinds)
UNC2452

UNC2452 used dynamic DNS resolution to construct and resolve to randomly-generated subdomains for C2.(Citation: Volexity SolarWinds)

For Operation Dust Storm, the threat actors used dynamic DNS domains from a variety of free providers, including No-IP, Oray, and 3322.(Citation: Cylance Dust Storm)

Bisonal

Bisonal has used a dynamic DNS service for C2.(Citation: Talos Bisonal Mar 2020)
Gamaredon Group

Gamaredon Group has incorporated dynamic DNS domains in its infrastructure.(Citation: Unit 42 Gamaredon February 2022)

During Night Dragon, threat actors used dynamic DNS services for C2.(Citation: McAfee Night Dragon)
SUNBURST

SUNBURST dynamically resolved C2 infrastructure for randomly-generated subdomains within a parent domain.(Citation: FireEye SUNBURST Backdoor December 2020)

Контрмеры
Контрмера Описание
Network Intrusion Prevention

Use intrusion detection signatures to block traffic at network boundaries.
Restrict Web-Based Content

Restrict use of certain websites, block downloads/attachments, block Javascript, restrict browser extensions, etc.

Обнаружение

Detecting dynamically generated C2 can be challenging due to the number of different algorithms, constantly evolving malware families, and the increasing complexity of the algorithms. There are multiple approaches to detecting a pseudo-randomly generated domain name, including using frequency analysis, Markov chains, entropy, proportion of dictionary words, ratio of vowels to other characters, and more (Citation: Data Driven Security DGA). CDN domains may trigger these detections due to the format of their domain names. In addition to detecting algorithm generated domains based on the name, another more general approach for detecting a suspicious domain is to check for recently registered names or for rarely visited domains.

Ссылки

  1. Jacobs, J. (2014, October 2). Building a DGA Classifier: Part 2, Feature Engineering. Retrieved February 18, 2019.
  2. ESET. (2017, December 21). Sednit update: How Fancy Bear Spent the Year. Retrieved February 18, 2019.
  3. Dunwoody, M.. (2017, April 3). Dissecting One of APT29’s Fileless WMI and PowerShell Backdoors (POSHSPY). Retrieved April 5, 2017.
  4. Brumaghin, E. et al. (2017, September 18). CCleanup: A Vast Number of Machines at Risk. Retrieved March 9, 2018.
  5. Mundo, A. (2020, March 26). Ransomware Maze. Retrieved May 18, 2020.
  6. Cash, D. et al. (2020, December 14). Dark Halo Leverages SolarWinds Compromise to Breach Organizations. Retrieved December 29, 2020.
  7. Gross, J. (2016, February 23). Operation Dust Storm. Retrieved December 22, 2021.
  8. Kasza, A. (2015, February 18). Using Algorithms to Brute Force Algorithms. Retrieved February 18, 2019.
  9. Sternfeld, U. (2016). Dissecting Domain Generation Algorithms: Eight Real World DGA Variants. Retrieved February 18, 2019.
  10. McAfee® Foundstone® Professional Services and McAfee Labs™. (2011, February 10). Global Energy Cyberattacks: “Night Dragon”. Retrieved February 19, 2018.
  11. Huss, D. (2016, March 1). Operation Transparent Tribe. Retrieved June 8, 2016.
  12. Unit 42. (2022, February 3). Russia’s Gamaredon aka Primitive Bear APT Group Actively Targeting Ukraine. Retrieved February 21, 2022.
  13. M. Porolli. (2021, January 21). Operation Spalax: Targeted malware attacks in Colombia. Retrieved September 16, 2022.
  14. Duncan, B., Harbison, M. (2019, January 23). Russian Language Malspam Pushing Redaman Banking Malware. Retrieved June 16, 2020.
  15. Eisenkraft, K., Olshtein, A. (2019, October 17). Pony’s C&C servers hidden inside the Bitcoin blockchain. Retrieved June 15, 2020.
  16. FireEye. (2020, December 13). Highly Evasive Attacker Leverages SolarWinds Supply Chain to Compromise Multiple Global Victims With SUNBURST Backdoor. Retrieved January 4, 2021.
  17. Mercer, W., et al. (2020, March 5). Bisonal: 10 years of play. Retrieved January 26, 2022.
  18. Dela Paz, R. (2016, October 21). BITTER: a targeted attack against Pakistan. Retrieved June 1, 2022.
  19. FireEye Labs. (2015, April). APT30 AND THE MECHANICS OF A LONG-RUNNING CYBER ESPIONAGE OPERATION. Retrieved May 1, 2015.
  20. Dupuy, T. and Faou, M. (2021, June). Gelsemium. Retrieved November 30, 2021.
  21. Kwiatkoswki, I. and Delcher, P. (2021, September 29). DarkHalo After SolarWinds: the Tomiris connection. Retrieved December 27, 2021.
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