T1071.004: DNS
Adversaries may communicate using the Domain Name System (DNS) application layer protocol to avoid detection/network filtering by blending in with existing traffic. Commands to the remote system, and often the results of those commands, will be embedded within the protocol traffic between the client and server.
The DNS protocol serves an administrative function in computer networking and thus may be very common in environments. DNS traffic may also be allowed even before network authentication is completed. DNS packets contain many fields and headers in which data can be concealed. Often known as DNS tunneling, adversaries may abuse DNS to communicate with systems under their control within a victim network while also mimicking normal, expected traffic.[1][2]
DNS beaconing may be used to send commands to remote systems via DNS queries. A DNS beacon is created by tunneling DNS traffic (i.e. Protocol Tunneling). The commands may be embedded into different DNS records, for example, TXT or A records.[3] DNS beacons may be difficult to detect because the beacons infrequently communicate with infected devices.[4] Infrequent communication conceals the malicious DNS traffic with normal DNS traffic.
Security context for executives and security teams
T1071.004: DNS describes Adversaries may communicate using the Domain Name System (DNS) application layer protocol to avoid detection/network filtering by blending in with existing traffic. Commands to the remote system, and often the results of those commands, will be embedded within the protocol traffic between the client and server. The DNS protocol serves an administrative function in computer networking and thus may be very common in environments. DNS traffic may also be allowed even before network authentication is completed. DNS pac...
Executive priority
T1071.004: DNS is an official MITRE ATT&CK technique. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate T1071.004: DNS by reviewing the official ATT&CK relationships, mapped tactics (command-and-control), supported platforms (ESXi, Linux, macOS, Network Devices), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Network, endpoint, and security-tool telemetry
Detection direction
- Validate whether T1071.004: DNS appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
DNS
Adversaries may communicate using the Domain Name System (DNS) application layer protocol to avoid detection/network filtering by blending in with existing traffic. Commands to the remote system, and often the results of those commands, will be embedded within the protocol traffic between the client and server.
The DNS protocol serves an administrative function in computer networking and thus may be very common in environments. DNS traffic may also be allowed even before network authentication is completed. DNS packets contain many fields and headers in which data can be concealed. Often known as DNS tunneling, adversaries may abuse DNS to communicate with systems under their control within a victim network while also mimicking normal, expected traffic.[1][2]
DNS beaconing may be used to send commands to remote systems via DNS queries. A DNS beacon is created by tunneling DNS traffic (i.e. Protocol Tunneling). The commands may be embedded into different DNS records, for example, TXT or A records.[3] DNS beacons may be difficult to detect because the beacons infrequently communicate with infected devices.[4] Infrequent communication conceals the malicious DNS traffic with normal DNS traffic.
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 | T1071 | Application Layer Protocol | This object subtechnique of Application Layer Protocol. |
Groups, software, and campaigns
G0096: APT41
APT41 is a threat group that researchers have assessed as Chinese state-sponsored espionage group that also conducts financially-motivated operations. Active since at least 2012, APT41 has been observed targeting various industries, including but not limited to healthcare, telecom, technology, finance, education, retail and video game industries in 14 countries.[1] Notable behaviors include using a wide range of malware and tools to complete mission objectives. APT41 overlaps at least partially with public reporting on groups including BARIUM and Winnti Group.[2][3]
G0046: FIN7
FIN7 is a financially-motivated threat group that has been active since 2013. FIN7 has targeted the retail, restaurant, hospitality, software, consulting, financial services, medical equipment, cloud services, media, food and beverage, transportation, pharmaceutical, and utilities industries in the United States. A portion of FIN7 was operated out of a front company called Combi Security and often used point-of-sale malware for targeting efforts. Since 2020, FIN7 shifted operations to big game hunting (BGH), including use of REvil ransomware and their own Ransomware-as-a-Service (RaaS), Darkside. FIN7 may be linked to the Carbanak Group, but multiple threat groups have been observed using Carbanak, leading these groups to be tracked separately.[1][2][3][4][5][6][7]
G0026: APT18
G0087: APT39
APT39 is one of several names for cyber espionage activity conducted by the Iranian Ministry of Intelligence and Security (MOIS) through the front company Rana Intelligence Computing since at least 2014. APT39 has primarily targeted the travel, hospitality, academic, and telecommunications industries in Iran and across Asia, Africa, Europe, and North America to track individuals and entities considered to be a threat by the MOIS.[1][2][3][4][5]
G0049: OilRig
OilRig is a suspected Iranian threat group that has targeted Middle Eastern and international victims since at least 2014. The group has targeted a variety of sectors, including financial, government, energy, chemical, and telecommunications. It appears the group carries out supply chain attacks, leveraging the trust relationship between organizations to attack their primary targets. The group works on behalf of the Iranian government based on infrastructure details that contain references to Iran, use of Iranian infrastructure, and targeting that aligns with nation-state interests.[1][2][3][4][5][6][7]
G0081: Tropic Trooper
Tropic Trooper is an unaffiliated threat group that has led targeted campaigns against targets in Taiwan, the Philippines, and Hong Kong. Tropic Trooper focuses on targeting government, healthcare, transportation, and high-tech industries and has been active since 2011.[1][2][3]
G0004: Ke3chang
G0114: Chimera
G1003: Ember Bear
Ember Bear is a Russian state-sponsored cyber espionage group that has been active since at least 2020, linked to Russia's General Staff Main Intelligence Directorate (GRU) 161st Specialist Training Center (Unit 29155).[1] Ember Bear has primarily focused operations against Ukrainian government and telecommunication entities, but has also operated against critical infrastructure entities in Europe and the Americas.[2] Ember Bear conducted the WhisperGate destructive wiper attacks against Ukraine in early 2022.[3][4][1] There is some confusion as to whether Ember Bear overlaps with another Russian-linked entity referred to as Saint Bear. At present available evidence strongly suggests these are distinct activities with different behavioral profiles.[2][5]
G0140: LazyScripter
LazyScripter is threat group that has mainly targeted the airlines industry since at least 2018, primarily using open-source toolsets.[1]
G0080: Cobalt Group
Cobalt Group is a financially motivated threat group that has primarily targeted financial institutions since at least 2016. The group has conducted intrusions to steal money via targeting ATM systems, card processing, payment systems and SWIFT systems. Cobalt Group has mainly targeted banks in Eastern Europe, Central Asia, and Southeast Asia. One of the alleged leaders was arrested in Spain in early 2018, but the group still appears to be active. The group has been known to target organizations in order to use their access to then compromise additional victims.[1][2][3][4][5][6][7] Reporting indicates there may be links between Cobalt Group and both the malware Carbanak and the group Carbanak.[8]
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]
S0184: POWRUNER
S0145: POWERSOURCE
POWERSOURCE is a PowerShell backdoor that is a heavily obfuscated and modified version of the publicly available tool DNS_TXT_Pwnage. It was observed in February 2017 in spearphishing campaigns against personnel involved with United States Securities and Exchange Commission (SEC) filings at various organizations. The malware was delivered when macros were enabled by the victim and a VBS script was dropped. [1] [2]
S0167: Matryoshka
Matryoshka is a malware framework used by CopyKittens that consists of a dropper, loader, and RAT. It has multiple versions; v1 was seen in the wild from July 2016 until January 2017. v2 has fewer commands and other minor differences. [1] [2]
S9001: SystemBC
SystemBC is a malware family offered as a malware-as-a-service (MaaS) that is used to establish command and control and facilitate follow-on activity, including ransomware deployment.SystemBC executes a variety of tasks including setting up SOCKS5 proxies, maintaining persistence, ingesting malicious files, and handing C2 communication. SystemBC was first detected in 2018, and has been used by Wizard Spider since at least 2020, and by FIN7 since at least 2022.[1][2][3][4][5]
S0514: WellMess
S0615: SombRAT
S0260: InvisiMole
InvisiMole is a modular spyware program that has been used by the InvisiMole Group since at least 2013. InvisiMole has two backdoor modules called RC2FM and RC2CL that are used to perform post-exploitation activities. It has been discovered on compromised victims in the Ukraine and Russia. Gamaredon Group infrastructure has been used to download and execute InvisiMole against a small number of victims.[1][2]
S0495: RDAT
S0146: TEXTMATE
TEXTMATE is a second-stage PowerShell backdoor that is memory-resident. It was observed being used along with POWERSOURCE in February 2017. [1]
S0690: Green Lambert
Green Lambert is a modular backdoor that security researchers assess has been used by an advanced threat group referred to as Longhorn and The Lamberts. First reported in 2017, the Windows variant of Green Lambert may have been used as early as 2008; a macOS version was uploaded to a multiscanner service in September 2014.[1][2]
S0504: Anchor
C0029: Cutting Edge
Cutting Edge was a campaign conducted by suspected China-nexus espionage actors, variously identified as UNC5221/UTA0178 and UNC5325, that began as early as December 2023 with the exploitation of zero-day vulnerabilities in Ivanti Connect Secure (previously Pulse Secure) VPN appliances. Cutting Edge targeted the U.S. defense industrial base and multiple sectors globally including telecommunications, financial, aerospace, and technology. Cutting Edge featured the use of defense evasion and living-off-the-land (LoTL) techniques along with the deployment of web shells and other custom malware.[1][2][3][4][5]
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(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 1.4 | Current bundle | 1f634e3439a6… | ||
| 19.1 | 1.4 | Older bundle | 1f634e3439a6… |
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.
- [1]PAN DNS Tunneling
Palo Alto Networks. (n.d.). What Is DNS Tunneling?. Retrieved March 15, 2020.
Open source URL - [2]Medium DnsTunneling
Galobardes, R. (2018, October 30). Learn how easy is to bypass firewalls using DNS tunneling (and also how to block it). Retrieved March 15, 2020.
Open source URL - [3]OilRig Uses Updated BONDUPDATER to Target Middle Eastern Government
Kyle Wilhoit, Robert Falcone. (2018, September 12). OilRig Uses Updated BONDUPDATER to Target Middle Eastern Government. Retrieved July 21, 2025.
Open source URL - [4]DNS Beacons
Vercara. (n.d.). Retrieved July 21, 2025.
Open source URL - [5]University of Birmingham C2
Gardiner, J., Cova, M., Nagaraja, S. (2014, February). Command & Control Understanding, Denying and Detecting. Retrieved April 20, 2016.
Open source URL - [6]mitre-attackT1071.004Open source URL
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