T1049: System Network Connections Discovery
Adversaries may attempt to get a listing of network connections to or from the compromised system they are currently accessing or from remote systems by querying for information over the network.
An adversary who gains access to a system that is part of a cloud-based environment may map out Virtual Private Clouds or Virtual Networks in order to determine what systems and services are connected. The actions performed are likely the same types of discovery techniques depending on the operating system, but the resulting information may include details about the networked cloud environment relevant to the adversary's goals. Cloud providers may have different ways in which their virtual networks operate.[1][2][3] Similarly, adversaries who gain access to network devices may also perform similar discovery activities to gather information about connected systems and services.
Utilities and commands that acquire this information include netstat, "net use," and "net session" with Net. In Mac and Linux, netstat and lsof can be used to list current connections. who -a and w can be used to show which users are currently logged in, similar to "net session". Additionally, built-in features native to network devices and Network Device CLI may be used (e.g. show ip sockets, show tcp brief).[4] On ESXi servers, the command `esxi network ip connection list` can be used to list active network connections.[5]
Analyst context for executives and security teams
System Network Connections Discovery matters because it shows an intruder trying to understand what the compromised system can reach. That information can guide lateral movement, cloud environment mapping, targeting of network devices, or prioritization of high-value services. For leaders, the key issue is not the command itself, but whether the organization can see and explain this discovery activity across Windows, Linux, macOS, ESXi, IaaS, and network devices.
Executive priority
Treat T1049 as a coverage-validation item for SOC readiness and incident response scoping. It is a common discovery behavior associated in ATT&CK relationships with multiple campaigns and threat groups, including espionage and destructive-operation contexts, but the local priority should be based on where exposed administrative access, cloud virtual networks, ESXi hosts, and network infrastructure are business-critical. Executives should ask whether teams can reconstruct which systems, sessions, and cloud/network connections an intruder enumerated during an incident.
Technical view
ATT&CK lists this as a Discovery technique across ESXi, IaaS, Linux, macOS, Network Devices, and Windows. Defenders should validate visibility for commands and utilities such as netstat, net use, net session, lsof, who -a, w, network device CLI commands such as show ip sockets and show tcp brief, and ESXi command esxi network ip connection list. Because MITRE provides no official detection text for this object, detection engineering should use the related DET0320 strategy as a starting point and adapt logic per platform and administrative baseline.
Likely telemetry
- Endpoint process creation and command-line logging for Windows, Linux, and macOS discovery utilities
- Shell, SSH, or administrative session logs on ESXi hosts
- Network device CLI command accounting and administrative login records
- Cloud audit/control-plane logs relevant to virtual network or VPC/VNet enumeration where available
- Endpoint network connection telemetry and local connection-table observations
Detection direction
- Baseline legitimate administrator, monitoring, and troubleshooting use of connection-listing commands to reduce false positives.
- Correlate discovery commands with unusual user context, remote access method, new process ancestry, or activity shortly after initial access indicators.
- Validate coverage separately for endpoints, ESXi, cloud environments, and network devices; many programs collect endpoint logs but miss infrastructure CLI activity.
- Look for cross-platform patterns: connection enumeration followed by additional discovery, authentication attempts, or movement toward systems identified in the connection output.
- Document gaps explicitly because ATT&CK does not provide native detection guidance for this technique.
Mitigation priorities
- Prioritize logging and retention for administrative command execution on endpoints, ESXi, cloud consoles/APIs, and network devices.
- Apply least privilege and restrict administrative interfaces so only approved operators and management networks can query sensitive connection information.
- Use segmentation and access controls to limit the value of discovered connections if a host is compromised.
- Maintain incident response playbooks that preserve command history, process telemetry, cloud audit records, and network device accounting logs.
- Review privileged access and change-control evidence for systems where connection discovery could expose critical operational dependencies.
Analyst notes and limits
The relationship set shows this technique used by numerous ATT&CK groups and campaigns, so it is useful for threat-informed detection testing. However, those relationships should not be treated as proof of current activity in any environment. The most important local question is whether discovery of active connections would be visible on the assets that support business-critical services.
The official ATT&CK object does not include detection text or mitigations. Platform-specific command availability, logging quality, and benign administrative patterns must be validated in the local environment. External references describe cloud virtual networks, network device activity, and ESXi context but do not by themselves establish customer exposure or active exploitation.
System Network Connections Discovery
Adversaries may attempt to get a listing of network connections to or from the compromised system they are currently accessing or from remote systems by querying for information over the network.
An adversary who gains access to a system that is part of a cloud-based environment may map out Virtual Private Clouds or Virtual Networks in order to determine what systems and services are connected. The actions performed are likely the same types of discovery techniques depending on the operating system, but the resulting information may include details about the networked cloud environment relevant to the adversary's goals. Cloud providers may have different ways in which their virtual networks operate.[1][2][3] Similarly, adversaries who gain access to network devices may also perform similar discovery activities to gather information about connected systems and services.
Utilities and commands that acquire this information include netstat, "net use," and "net session" with Net. In Mac and Linux, netstat and lsof can be used to list current connections. who -a and w can be used to show which users are currently logged in, similar to "net session". Additionally, built-in features native to network devices and Network Device CLI may be used (e.g. show ip sockets, show tcp brief).[4] On ESXi servers, the command `esxi network ip connection list` can be used to list active network connections.[5]
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.
Groups, software, and campaigns
G0082: APT38
APT38 is a North Korean state-sponsored threat group that specializes in financial cyber operations; it has been attributed to the Reconnaissance General Bureau.[1] Active since at least 2014, APT38 has targeted banks, financial institutions, casinos, cryptocurrency exchanges, SWIFT system endpoints, and ATMs in at least 38 countries worldwide. Significant operations include the 2016 Bank of Bangladesh heist, during which APT38 stole $81 million, as well as attacks against Bancomext [2] and Banco de Chile [2]; some of their attacks have been destructive.[1][2][3][4]
North Korean group definitions are known to have significant overlap, and some security researchers report all North Korean state-sponsored cyber activity under the name Lazarus Group instead of tracking clusters or subgroups.
G0045: menuPass
menuPass is a threat group that has been active since at least 2006. Individual members of menuPass are known to have acted in association with the Chinese Ministry of State Security's (MSS) Tianjin State Security Bureau and worked for the Huaying Haitai Science and Technology Development Company.[1][2]
menuPass has targeted healthcare, defense, aerospace, finance, maritime, biotechnology, energy, and government sectors globally, with an emphasis on Japanese organizations. In 2016 and 2017, the group is known to have targeted managed IT service providers (MSPs), manufacturing and mining companies, and a university.[3][4][5][6][7][1][2]
G0033: Poseidon Group
Poseidon Group is a Portuguese-speaking threat group that has been active since at least 2005. The group has a history of using information exfiltrated from victims to blackmail victim companies into contracting the Poseidon Group as a security firm. [1]
G0139: TeamTNT
TeamTNT is a threat group that has primarily targeted cloud and containerized environments. The group as been active since at least October 2019 and has mainly focused its efforts on leveraging cloud and container resources to deploy cryptocurrency miners in victim environments.[1][2][3][4][5][6][7][8][9]
G0138: Andariel
Andariel is a North Korean state-sponsored threat group that has been active since at least 2009. Andariel has primarily focused its operations--which have included destructive attacks--against South Korean government agencies, military organizations, and a variety of domestic companies; they have also conducted cyber financial operations against ATMs, banks, and cryptocurrency exchanges. Andariel's notable activity includes Operation Black Mine, Operation GoldenAxe, and Campaign Rifle.[1][2][3][4][5]
Andariel is considered a sub-set of Lazarus Group, and has been attributed to North Korea's Reconnaissance General Bureau.[6]
North Korean group definitions are known to have significant overlap, and some security researchers report all North Korean state-sponsored cyber activity under the name Lazarus Group instead of tracking clusters or subgroups.
G0129: Mustang Panda
Mustang Panda is a China-based cyber espionage threat actor that has been conducting operations since at least 2012. Mustang Panda has been known to use tailored phishing lures and decoy documents to deliver malicious payloads. Mustang Panda has targeted government, diplomatic, and non-governmental organizations, including think tanks, religious institutions, and research entities, across the United States, Europe, and Asia, with notable activity in Russia, Mongolia, Myanmar, Pakistan, and Vietnam. [1][2][3][4][5][6][7][8][9][10][11][12][13]
G0010: Turla
Turla is a cyber espionage threat group that has been attributed to Russia's Federal Security Service (FSB). They have compromised victims in over 50 countries since at least 2004, spanning a range of industries including government, embassies, military, education, research and pharmaceutical companies. Turla is known for conducting watering hole and spearphishing campaigns, and leveraging in-house tools and malware, such as Uroburos.[1][2][3][4][5]
G0022: APT3
APT3 is a China-based threat group that researchers have attributed to China's Ministry of State Security.[1][2] This group is responsible for the campaigns known as Operation Clandestine Fox, Operation Clandestine Wolf, and Operation Double Tap.[1][3] As of June 2015, the group appears to have shifted from targeting primarily US victims to primarily political organizations in Hong Kong.[4]
G0030: Lotus Blossom
Lotus Blossom is a long-standing threat group largely targeting various entities in Asia since at least 2009. In addition to government and related targets, Lotus Blossom has also targeted entities such as digital certificate issuers.[1][2][3]
G1017: Volt Typhoon
Volt Typhoon is a People's Republic of China (PRC) state-sponsored actor that has been active since at least 2021, primarily targeting critical infrastructure organizations in the US and its territories including Guam. Volt Typhoon's targeting and pattern of behavior have been assessed as pre-positioning to enable lateral movement to operational technology (OT) assets for potential destructive or disruptive attacks. Volt Typhoon has emphasized stealth in operations using web shells, living-off-the-land (LOTL) binaries, hands on keyboard activities, and stolen credentials.[1][2][3][4]. The group has leveraged compromised SOHO routers to proxy command and control traffic and obscure its infrastructure, activity associated with the KV botnet.[5].
Reporting indicates a separate initial access cluster, SYLVANITE, has been observed exploiting internet-facing edge devices and transferring access to Volt Typhoon, also tracked as VOLTZITE, for follow-on operations. [6]
G0034: Sandworm Team
Sandworm Team is a destructive threat group that has been attributed to Russia's General Staff Main Intelligence Directorate (GRU) Main Center for Special Technologies (GTsST) military unit 74455.[1][2] This group has been active since at least 2009.[3][4][5][6]
In October 2020, the US indicted six GRU Unit 74455 officers associated with Sandworm Team for the following cyber operations: the 2015 and 2016 attacks against Ukrainian electrical companies and government organizations, the 2017 worldwide NotPetya attack, targeting of the 2017 French presidential campaign, the 2018 Olympic Destroyer attack against the Winter Olympic Games, the 2018 operation against the Organisation for the Prohibition of Chemical Weapons, and attacks against the country of Georgia in 2018 and 2019.[1][2] Some of these were conducted with the assistance of GRU Unit 26165, which is also referred to as APT28.[7]
G1047: Velvet Ant
Velvet Ant is a threat actor operating since at least 2021. Velvet Ant is associated with complex persistence mechanisms, the targeting of network devices and appliances during operations, and the use of zero day exploits.[1][2]
S0532: Lucifer
S0094: Trojan.Karagany
Trojan.Karagany is a modular remote access tool used for recon and linked to Dragonfly. The source code for Trojan.Karagany originated from Dream Loader malware which was leaked in 2010 and sold on underground forums. [1][2][3]
S0638: Babuk
S0445: ShimRatReporter
ShimRatReporter is a tool used by suspected Chinese adversary Mofang to automatically conduct initial discovery. The details from this discovery are used to customize follow-on payloads (such as ShimRat) as well as set up faux infrastructure which mimics the adversary's targets. ShimRatReporter has been used in campaigns targeting multiple countries and sectors including government, military, critical infrastructure, automobile, and weapons development.[1]
S0251: Zebrocy
S0378: PoshC2
PoshC2 is an open source remote administration and post-exploitation framework that is publicly available on GitHub. The server-side components of the tool are primarily written in Python, while the implants are written in PowerShell. Although PoshC2 is primarily focused on Windows implantation, it does contain a basic Python dropper for Linux/macOS.[1]
S0125: Remsec
S0237: GravityRAT
GravityRAT is a remote access tool (RAT) and has been in ongoing development since 2016. The actor behind the tool remains unknown, but two usernames have been recovered that link to the author, which are "TheMartian" and "The Invincible." According to the National Computer Emergency Response Team (CERT) of India, the malware has been identified in attacks against organization and entities in India. [1]
S0104: netstat
S0356: KONNI
KONNI is a remote access tool that security researchers assess has been used by North Korean cyber actors since at least 2014. KONNI has significant code overlap with the NOKKI malware family, and has been linked to several suspected North Korean campaigns targeting political organizations in Russia, East Asia, Europe and the Middle East; there is some evidence potentially linking KONNI to APT37.[1][2][3][4][5]
S0488: CrackMapExec
CrackMapExec, or CME, is a post-exploitation tool developed in Python and designed for penetration testing against networks. CrackMapExec collects Active Directory information to conduct lateral movement through targeted networks.[1]
S0449: Maze
C0014: Operation Wocao
Operation Wocao was a cyber espionage campaign that targeted organizations around the world, including in Brazil, China, France, Germany, Italy, Mexico, Portugal, Spain, the United Kingdom, and the United States. The suspected China-based actors compromised government organizations and managed service providers, as well as aviation, construction, energy, finance, health care, insurance, offshore engineering, software development, and transportation companies.[1]
Security researchers assessed the Operation Wocao actors used similar TTPs and tools as APT20, suggesting a possible overlap. Operation Wocao was named after an observed command line entry by one of the threat actors, possibly out of frustration from losing webshell access.[1]
C0063: 2025 Poland Wiper Attacks
2025 Poland Wiper Attacks is a Russian state-sponsored campaign that conducted destructive cyberattacks against Polish energy infrastructure in December 2025. Targets included more than 30 wind and photovoltaic farms, a combined heat and power (CHP) plant, and a manufacturing sector company. The attacks on the distributed energy resources (DER) disrupted communications between affected facilities and the distribution system operator, but did not impact electricity generation or heat supply. Across the campaign, threat actors deployed two previously undocumented wiper tools, DynoWiper, a Windows-based wiper and LazyWiper, a PowerShell wiper, distributed via malicious Group Policy Objects. At the CHP plant, threat actors had maintained access since at least March 2025, using that foothold to obtain credentials and move laterally before attempting wiper deployment. Some reporting has assessed the activity to be consistent with Russian Federal Security Service (FSB) threat activity group Dragonfly, also tracked as STATIC TUNDRA, while other reporting attributes the destructive wiper activities to the Russian General Staff Main Intelligence Directorate (GRU) threat activity group ELECTRUM, also tracked as Sandworm Team.[1][2][3][4]
C0012: Operation CuckooBees
Operation CuckooBees was a cyber espionage campaign targeting technology and manufacturing companies in East Asia, Western Europe, and North America since at least 2019. Security researchers noted the goal of Operation CuckooBees, which was still ongoing as of May 2022, was likely the theft of proprietary information, research and development documents, source code, and blueprints for various technologies. Researchers assessed Operation CuckooBees was conducted by actors affiliated with Winnti Group, APT41, and BARIUM.[1]
C0007: FunnyDream
FunnyDream was a suspected Chinese cyber espionage campaign that targeted government and foreign organizations in Malaysia, the Philippines, Taiwan, Vietnam, and other parts of Southeast Asia. Security researchers linked the FunnyDream campaign to possible Chinese-speaking threat actors through the use of the Chinoxy backdoor and noted infrastructure overlap with the TAG-16 threat group.[1][2][3]
All related ATT&CK context
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 | 2.5 | Current bundle | c5390f87ed15… |
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]
Amazon AWS VPC Guide
Amazon. (n.d.). What Is Amazon VPC?. Retrieved October 6, 2019.
Open source URL -
[2]
Microsoft Azure Virtual Network Overview
Annamalai, N., Casey, C., Almeida, M., et. al.. (2019, June 18). What is Azure Virtual Network?. Retrieved October 6, 2019.
Open source URL -
[3]
Google VPC Overview
Google. (2019, September 23). Virtual Private Cloud (VPC) network overview. Retrieved October 6, 2019.
Open source URL -
[4]
US-CERT-TA18-106A
US-CERT. (2018, April 20). Alert (TA18-106A) Russian State-Sponsored Cyber Actors Targeting Network Infrastructure Devices. Retrieved October 19, 2020.
Open source URL -
[5]
Sygnia ESXi Ransomware 2025
Zhongyuan Hau (Aaron), Ren Jie Yow, and Yoav Mazor. (2025, January 21). ESXi Ransomware Attacks: Stealthy Persistence through. Retrieved March 27, 2025.
Open source URL -
[6]
mitre-attack T1049Open source URL
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