T1573: Encrypted Channel
Adversaries may employ an encryption algorithm to conceal command and control traffic rather than relying on any inherent protections provided by a communication protocol. Despite the use of a secure algorithm, these implementations may be vulnerable to reverse engineering if secret keys are encoded and/or generated within malware samples/configuration files.
Analyst context for executives and security teams
Encrypted Channel (T1573) matters because it lets command-and-control traffic blend into environments where encryption is normal. The business issue is not simply “encrypted traffic exists”; it is whether the organization can distinguish legitimate encrypted communications from malware-controlled sessions when payload content may be hidden. This affects SOC visibility, incident response speed, and—where operational technology or network devices are in scope—resilience decisions during a suspected compromise.
Executive priority
Leaders should treat this as a visibility and control-prioritization question. Ask whether critical platforms listed by ATT&CK—Windows, Linux, macOS, ESXi, and network devices—generate enough network and endpoint evidence to investigate encrypted C2 without relying only on content inspection. Budget and risk decisions should balance SSL/TLS inspection and network intrusion prevention against privacy, operational, and inspection-risk considerations noted by ATT&CK’s references and mitigation relationships. The relationship to the Triton Safety Instrumented System Attack and KV Botnet Activity makes this especially relevant for organizations with cyber-physical operations, critical infrastructure exposure, or unmanaged/end-of-life network equipment.
Technical view
For SOC, detection engineering, and IR teams, validate coverage around command-and-control over encrypted channels rather than assuming protocol encryption is benign. ATT&CK does not provide native detection text for T1573, so teams should anchor detection work to the related detection strategy DET0273, the mitigation relationships for SSL/TLS Inspection (M1020) and Network Intrusion Prevention (M1031), and the sub-techniques for symmetric and asymmetric cryptography. Practical validation should include whether analysts can correlate encrypted network sessions with process, host, user, destination, certificate, and device context across Windows, Linux, macOS, ESXi, and network devices. Malware relationships such as gh0st RAT, NETWIRE, Emotet, Cryptoistic, Chaes, RCSession, Lizar, PowerLess, MacMa, and PowGoop show that this behavior is not limited to one operating system or tool family.
Likely telemetry
- Network flow records and connection metadata for encrypted outbound and lateral communications
- TLS/SSL inspection logs where inspection is authorized and technically feasible
- Network intrusion detection/prevention alerts and signature matches at boundaries
- DNS, proxy, and secure web gateway logs associated with encrypted sessions
- Endpoint process-to-network connection telemetry on Windows, Linux, macOS, and ESXi where available
Detection direction
- Do not depend only on decrypting payloads; validate metadata-based detections for unusual encrypted session patterns, rare destinations, unexpected processes initiating encrypted connections, and abnormal timing or volume.
- Where SSL/TLS inspection is deployed, confirm scope, exclusions, privacy constraints, certificate handling, and operational risks; inspection gaps can become blind spots.
- Tune detections by platform and asset role. Encrypted traffic from servers, ESXi hosts, network devices, or administrative systems should be baselined differently from normal user browsing.
- Use relationship context to test coverage against both symmetric and asymmetric encrypted C2 patterns, without assuming a single protocol or algorithm.
- Correlate network alerts with endpoint and identity context to reduce false positives from legitimate encrypted business applications.
Mitigation priorities
- Prioritize network intrusion prevention at network boundaries where signatures and policy controls can block known malicious traffic patterns.
- Evaluate SSL/TLS inspection for high-risk network segments, egress paths, and investigative workflows, while accounting for the inspection risks and limitations identified in ATT&CK references.
- Strengthen egress visibility and policy enforcement for critical assets, network devices, ESXi infrastructure, and systems supporting operational resilience.
- Maintain endpoint-to-network correlation so encrypted C2 investigations are not blocked when payload inspection is unavailable or inappropriate.
- For environments with critical infrastructure or cyber-physical exposure, include encrypted C2 scenarios in incident response and business continuity exercises.
Analyst notes and limits
T1573 consolidates earlier revoked techniques for custom cryptographic protocol, standard cryptographic protocol, and multilayer encryption, so historical analytics may need ATT&CK mapping updates. The supplied relationships show usage by multiple groups, campaigns, and software families, but they should be used for contextual prioritization, not as proof of current activity in any given environment.
ATT&CK provides no official detection text for this technique in the supplied object. Specific detection logic, thresholds, and inspection feasibility require local network architecture, privacy policy, asset criticality, and telemetry validation. The supplied relationship descriptions are partial in places, and this take does not infer exposure or active exploitation beyond the listed ATT&CK relationships.
Encrypted Channel
Adversaries may employ an encryption algorithm to conceal command and control traffic rather than relying on any inherent protections provided by a communication protocol. Despite the use of a secure algorithm, these implementations may be vulnerable to reverse engineering if secret keys are encoded and/or generated within malware samples/configuration files.
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 | T1573.002 | Asymmetric Cryptography Sub-technique | Asymmetric Cryptography subtechnique of this object. |
| Enterprise | T1024 | Custom Cryptographic Protocol | Custom Cryptographic Protocol revoked by this object. |
| Enterprise | T1032 | Standard Cryptographic Protocol | Standard Cryptographic Protocol revoked by this object. |
| Enterprise | T1573.001 | Symmetric Cryptography Sub-technique | Symmetric Cryptography subtechnique of this object. |
| Enterprise | T1079 | Multilayer Encryption | Multilayer Encryption revoked by this object. |
Groups, software, and campaigns
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]
G0059: Magic Hound
Magic Hound is an Iranian-sponsored threat group that conducts long term, resource-intensive cyber espionage operations, likely on behalf of the Islamic Revolutionary Guard Corps. They have targeted European, U.S., and Middle Eastern government and military personnel, academics, journalists, and organizations such as the World Health Organization (WHO), via complex social engineering campaigns since at least 2014.[1][2][3][4][5]
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]
S0662: RCSession
RCSession is a backdoor written in C++ that has been in use since at least 2018 by Mustang Panda and by Threat Group-3390 (Type II Backdoor).[1][2][3]
S0498: Cryptoistic
Cryptoistic is a backdoor, written in Swift, that has been used by Lazarus Group.[1]
S1198: Gomir
S0631: Chaes
Chaes is a multistage information stealer written in several programming languages that collects login credentials, credit card numbers, and other financial information. Chaes was first observed in 2020, and appears to primarily target victims in Brazil as well as other e-commerce customers in Latin America.[1]
S1046: PowGoop
PowGoop is a loader that consists of a DLL loader and a PowerShell-based downloader; it has been used by MuddyWater as their main loader.[1][2]
S1012: PowerLess
PowerLess is a PowerShell-based modular backdoor that has been used by Magic Hound since at least 2022.[1]
S0681: Lizar
S0032: gh0st RAT
S0198: NETWIRE
S1016: MacMa
MacMa is a macOS-based backdoor with a large set of functionalities to control and exfiltrate files from a compromised computer. MacMa has been observed in the wild since November 2021.[1] MacMa shares command and control and unique libraries with MgBot and Nightdoor, indicating a relationship with the Daggerfly threat actor.[2]
S0367: Emotet
C0035: KV Botnet Activity
KV Botnet Activity consisted of exploitation of primarily “end-of-life” small office-home office (SOHO) equipment from manufacturers such as Cisco, NETGEAR, and DrayTek. KV Botnet Activity was used by Volt Typhoon to obfuscate connectivity to victims in multiple critical infrastructure segments, including energy and telecommunication companies and entities based on the US territory of Guam. While the KV Botnet is the most prominent element of this campaign, it overlaps with another botnet cluster referred to as the JDY cluster.[1] This botnet was disrupted by US law enforcement entities in early 2024 after periods of activity from October 2022 through January 2024.[2]
C0030: Triton Safety Instrumented System Attack
Triton Safety Instrumented System Attack was a campaign employed by TEMP.Veles which leveraged the Triton malware framework against a petrochemical organization.[1] The malware and techniques used within this campaign targeted specific Triconex Safety Controllers within the environment.[2] The incident was eventually discovered due to a safety trip that occurred as a result of an issue in the malware.[3]
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 | 1.2 | Current bundle | 118c1231f501… |
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]
SANS Decrypting SSL
Butler, M. (2013, November). Finding Hidden Threats by Decrypting SSL. Retrieved April 5, 2016.
Open source URL -
[2]
SEI SSL Inspection Risks
Dormann, W. (2015, March 13). The Risks of SSL Inspection. Retrieved April 5, 2016.
Open source URL -
[3]
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 -
[4]
mitre-attack T1573Open source URL
Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.