T1568: Dynamic Resolution
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.[1][2][3]
Analyst context for executives and security teams
Dynamic Resolution matters because it lets malware avoid depending on one fixed command-and-control address. Instead of calling a single known domain, IP, or port, the malware can calculate or rapidly change where it connects next. For leaders, the practical issue is resilience of attacker communications: simple blocklists and one-time indicator cleanup may not be enough if the infected host can find replacement infrastructure.
Executive priority
Treat this as a command-and-control resilience problem. Ask whether the organization can detect and contain malware that changes domains, IPs, or ports across Windows, Linux, macOS, and ESXi environments. Priority should go to DNS and egress visibility, proxy and network intrusion prevention controls, and incident response procedures that do not rely solely on static indicators. This is especially relevant for organizations where continuity, critical infrastructure operations, or regulated audit evidence depend on proving that outbound communications are monitored and controlled.
Technical view
ATT&CK lists this as an enterprise command-and-control technique for ESXi, Linux, macOS, and Windows. The linked sub-techniques define the main validation paths: Fast Flux DNS, Domain Generation Algorithms, and DNS Calculation. SOC and IR teams should verify whether they can reconstruct DNS lookups, resolved IPs, TTL behavior, destination ports, and outbound connection attempts from endpoints and network boundaries. Because ATT&CK provides no official detection text for T1568 itself, detection engineering should be driven by the related DET0039 strategy and by testing for anomalous resolution patterns rather than assuming static IOC matching is sufficient.
Likely telemetry
- DNS query and response logs, including queried names, resolved IPs, response codes, TTLs, and query volume over time
- Proxy, secure web gateway, or web filtering logs for outbound domain and URL access
- Firewall and network flow records showing destination IPs, ports, connection timing, and egress paths
- Network intrusion detection or prevention alerts at network boundaries
- Endpoint network connection telemetry from Windows, Linux, macOS, and ESXi where available
Detection direction
- Validate coverage for the three related sub-technique patterns: rapidly changing IP mappings, algorithmically generated or unusual domains, and DNS-derived IP or port calculations.
- Tune detections around behavior and sequence, not only known bad indicators: repeated failed lookups, high volumes of rare domains, short-lived resolution patterns, changing destination infrastructure, and unusual outbound ports may be more useful than single-domain matches.
- Confirm DNS visibility is not lost through local resolver gaps, encrypted DNS paths, unmanaged endpoints, split-tunnel remote access, or ESXi and non-Windows systems with weaker logging.
- Use campaign, group, and software relationships as threat-intelligence context for prioritization, not as proof that those actors are present in the environment.
- Account for false positives from legitimate CDNs, cloud services, load balancing, and software update mechanisms that can also use frequent DNS changes or multiple IPs.
Mitigation priorities
- Start with egress governance: restrict and monitor outbound web and network traffic through approved proxies, resolvers, and network control points where practical.
- Apply the related M1021 mitigation by restricting web-based content through URL filtering, download restrictions, script controls, and extension/browser behavior controls as appropriate to the environment.
- Apply the related M1031 mitigation by using network intrusion prevention or detection signatures at boundaries, recognizing that signatures should be paired with behavioral DNS and egress analytics.
- Maintain response playbooks that include containment of the host, review of DNS history, blocking of observed infrastructure, and hunting for related dynamic-resolution behavior rather than stopping at the first domain or IP.
- Prioritize telemetry and control validation on platforms listed for the technique: ESXi, Linux, macOS, and Windows.
Analyst notes and limits
ATT&CK relationships show this technique is used by multiple campaigns, groups, and software entries, including APT29, Gamaredon Group, Kimsuky, RedEcho, Night Dragon, SolarWinds Compromise, NETEAGLE, RTM, Bisonal, and Remcos. These relationships support threat-informed prioritization, especially for organizations in sectors reflected in the related campaign descriptions, such as energy, government, aviation, transportation, manufacturing, and critical infrastructure. They do not by themselves establish local exposure or current targeting.
The official ATT&CK object does not provide a detection description for T1568, so this take is based on the official description, platforms, command-and-control tactic, external references, the DET0039 detection-strategy relationship, mitigation relationships, and sub-technique relationships. Local resolver architecture, proxy enforcement, endpoint logging, and network segmentation will determine whether the recommended telemetry and detections are actually feasible.
Dynamic Resolution
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.[1][2][3]
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Related techniques
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1568.001 | Fast Flux DNS Sub-technique | Fast Flux DNS subtechnique of this object. |
| Enterprise | T1568.002 | Domain Generation Algorithms Sub-technique | Domain Generation Algorithms subtechnique of this object. |
| Enterprise | T1568.003 | DNS Calculation Sub-technique | DNS Calculation subtechnique of this object. |
Groups, software, and campaigns
G1042: RedEcho
G1018: TA2541
TA2541 is a cybercriminal group that has been targeting the aviation, aerospace, transportation, manufacturing, and defense industries since at least 2017. TA2541 campaigns are typically high volume and involve the use of commodity remote access tools obfuscated by crypters and themes related to aviation, transportation, and travel.[1][2]
G0134: Transparent Tribe
Transparent Tribe is a suspected Pakistan-based threat group that has been active since at least 2013, primarily targeting diplomatic, defense, and research organizations in India and Afghanistan.[1][2][3]
G1002: BITTER
G0016: APT29
APT29 is threat group that has been attributed to Russia's Foreign Intelligence Service (SVR).[1][2] They have operated since at least 2008, often targeting government networks in Europe and NATO member countries, research institutes, and think tanks. APT29 reportedly compromised the Democratic National Committee starting in the summer of 2015.[3][4][5][6]
In April 2021, the US and UK governments attributed the SolarWinds Compromise to the SVR; public statements included citations to APT29, Cozy Bear, and The Dukes.[7][8] Industry reporting also referred to the actors involved in this campaign as UNC2452, NOBELIUM, StellarParticle, Dark Halo, and SolarStorm.[9][10][11][12][13][14]
G0094: Kimsuky
Kimsuky is a Democratic People's Republic of Korea (DPRK)-based cyber espionage group that has been active since at least 2012. The group initially targeted South Korean government agencies, think tanks, and subject-matter experts in various fields. Its operations expanded to include the United Nations and organizations in the government, education, business services, and manufacturing sectors across the United States, Japan, Russia, and Europe. Kimsuky has focused collection on foreign policy and national security issues tied to the Korean Peninsula, nuclear policy, and sanctions. Kimsuky operations have overlapped with those of other North Korean state-sponsored cyber espionage actors as a result of ad hoc collaborations or other limited resource sharing.[1][2][3][4][5][6]
Kimsuky was assessed to be responsible for the 2014 Korea Hydro & Nuclear Power Co. compromise; other notable campaigns include Operation STOLEN PENCIL (2018), Operation Kabar Cobra (2019), and Operation Smoke Screen (2019).[7][8][9] In 2023, Kimsuky was observed using commercial large language models (LLMs) to assist with vulnerability research, scripting, social engineering and reconnaissance.[10]
DPRK threat actor cluster boundaries overlap in open source reporting, with some security researchers consolidating all attributed North Korean state-sponsored cyber activity under Lazarus Group, rather than tracking operationally distinct subgroups.
G0099: APT-C-36
APT-C-36 is a suspected South American threat group that has engaged in espionage and financially motivated operations since at least 2018. APT-C-36 has targeted government institutions and entities in the financial, energy, and professional manufacturing sectors across Colombia and other Latin American countries.[1][2][3][4]
G0047: Gamaredon Group
Gamaredon Group is a suspected Russian cyber espionage group that has targeted military, law enforcement, judiciary, non-profit, and non-governmental organizations in Ukraine since at least 2013. The name Gamaredon Group derives from a misspelling of the word "Armageddon," found in early campaigns.[1][2][3][4][5]
In November 2021, the Ukrainian government publicly attributed Gamaredon Group to Russia’s Federal Security Service (FSB) Center 18, an assessment later supported by multiple independent cybersecurity researchers. [6][5]
S0671: Tomiris
Tomiris is a backdoor written in Go that continuously queries its C2 server for executables to download and execute on a victim system. It was first reported in September 2021 during an investigation of a successful DNS hijacking campaign against a Commonwealth of Independent States (CIS) member. Security researchers assess there are similarities between Tomiris and GoldMax.[1]
S0666: Gelsemium
S0148: RTM
S0034: NETEAGLE
S0449: Maze
S1087: AsyncRAT
S9015: BRICKSTORM
BRICKSTORM is a cross-platform backdoor with variants written in Go and Rust that facilitates command and control, the ingress transfer of other malware, and the exfiltration of data.[1][2][3][4] BRICKSTORM has also been created from a .NET application using ahead-of-time (AOT) compilation to blend in within victim environments.[1] BRICKSTORM was first observed in April 2024.[5] BRICKSTORM has previously been leveraged by People's Republic of China (PRC) state-nexus actors identified as UNC6201, UNC5221, WARP PANDA, PunyToad, and SYLVANITE.[6][7][1][8][9][10][3][4]
S0332: Remcos
S0268: Bisonal
Bisonal is a remote access tool (RAT) that has been used by Tonto Team against public and private sector organizations in Russia, South Korea, and Japan since at least December 2010.[1][2]
S0559: SUNBURST
C0005: Operation Spalax
Operation Spalax was a campaign that primarily targeted Colombian government organizations and private companies, particularly those associated with the energy and metallurgical industries. The Operation Spalax threat actors distributed commodity malware and tools using generic phishing topics related to COVID-19, banking, and law enforcement action. Security researchers noted indicators of compromise and some infrastructure overlaps with other campaigns dating back to April 2018, including at least one separately attributed to APT-C-36, however identified enough differences to report this as separate, unattributed activity.[1]
C0024: SolarWinds Compromise
The SolarWinds Compromise was a sophisticated supply chain cyber operation conducted by APT29 that was discovered in mid-December 2020. APT29 used customized malware to inject malicious code into the SolarWinds Orion software build process that was later distributed through a normal software update; they also used password spraying, token theft, API abuse, spear phishing, and other supply chain attacks to compromise user accounts and leverage their associated access. Victims of this campaign included government, consulting, technology, telecom, and other organizations in North America, Europe, Asia, and the Middle East. This activity has been labled the StellarParticle campaign in industry reporting.[1] Industry reporting also initially referred to the actors involved in this campaign as UNC2452, NOBELIUM, Dark Halo, and SolarStorm.[2][3][4][5][1][6][7][8]
In April 2021, the US and UK governments attributed the SolarWinds Compromise to Russia's Foreign Intelligence Service (SVR); public statements included citations to APT29, Cozy Bear, and The Dukes.[9][10][11] The US government assessed that of the approximately 18,000 affected public and private sector customers of Solar Winds’ Orion product, a much smaller number were compromised by follow-on APT29 activity on their systems.[12]
C0026: C0026
C0026 was a campaign identified in September 2022 that included the selective distribution of KOPILUWAK and QUIETCANARY malware to previous ANDROMEDA malware victims in Ukraine through re-registered ANDROMEDA C2 domains. Several tools and tactics used during C0026 were consistent with historic Turla operations.[1]
C0043: Indian Critical Infrastructure Intrusions
Indian Critical Infrastructure Intrusions is a sequence of intrusions from 2021 through early 2022 linked to People’s Republic of China (PRC) threat actors, particularly RedEcho and Threat Activity Group 38 (TAG38). The intrusions appear focused on IT system breach in Indian electric utility entities and logistics firms, as well as potentially managed service providers operating within India. Although focused on OT-operating entities, there is no evidence this campaign was able to progress beyond IT breach and information gathering to OT environment access.[1][2]
C0016: Operation Dust Storm
Operation Dust Storm was a long-standing persistent cyber espionage campaign that targeted multiple industries in Japan, South Korea, the United States, Europe, and several Southeast Asian countries. By 2015, the Operation Dust Storm threat actors shifted from government and defense-related intelligence targets to Japanese companies or Japanese subdivisions of larger foreign organizations supporting Japan's critical infrastructure, including electricity generation, oil and natural gas, finance, transportation, and construction.[1]
Operation Dust Storm threat actors also began to use Android backdoors in their operations by 2015, with all identified victims at the time residing in Japan or South Korea.[1]
C0002: Night Dragon
Night Dragon was a cyber espionage campaign that targeted oil, energy, and petrochemical companies, along with individuals and executives in Kazakhstan, Taiwan, Greece, and the United States. The unidentified threat actors searched for information related to oil and gas field production systems, financials, and collected data from SCADA systems. Based on the observed techniques, tools, and network activities, security researchers assessed the campaign involved a threat group based in China.[1]
All related ATT&CK context
Mitigation direction
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates .
Imported snapshots across ATT&CK releases (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.1 | Current bundle | e70eb9f310a3… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
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[1]
Talos CCleanup 2017
Brumaghin, E. et al. (2017, September 18). CCleanup: A Vast Number of Machines at Risk. Retrieved March 9, 2018.
Open source URL -
[2]
FireEye POSHSPY April 2017
Dunwoody, M.. (2017, April 3). Dissecting One of APT29’s Fileless WMI and PowerShell Backdoors (POSHSPY). Retrieved April 5, 2017.
Open source URL -
[3]
ESET Sednit 2017 Activity
ESET. (2017, December 21). Sednit update: How Fancy Bear Spent the Year. Retrieved February 18, 2019.
Open source URL -
[4]
Data Driven Security DGA
Jacobs, J. (2014, October 2). Building a DGA Classifier: Part 2, Feature Engineering. Retrieved February 18, 2019.
Open source URL -
[5]
mitre-attack T1568Open source URL
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