T1046: Network Service Discovery
Adversaries may attempt to get a listing of services running on remote hosts and local network infrastructure devices, including those that may be vulnerable to remote software exploitation. Common methods to acquire this information include port, vulnerability, and/or wordlist scans using tools that are brought onto a system.[1]
Within cloud environments, adversaries may attempt to discover services running on other cloud hosts. Additionally, if the cloud environment is connected to a on-premises environment, adversaries may be able to identify services running on non-cloud systems as well.
Within macOS environments, adversaries may use the native Bonjour application to discover services running on other macOS hosts within a network. The Bonjour mDNSResponder daemon automatically registers and advertises a host’s registered services on the network. For example, adversaries can use a mDNS query (such as dns-sd -B _ssh._tcp .) to find other systems broadcasting the ssh service.[2][3]
Analyst context for executives and security teams
Network Service Discovery matters because it is often how an intruder turns initial access into an operational map: which hosts exist, which services are reachable, and which systems may be worth targeting next. For leaders, the key issue is not the scan itself, but whether the organization can distinguish approved administration and vulnerability management activity from unauthorized discovery across Windows, Linux, macOS, containers, IaaS, and network devices.
Executive priority
Prioritize this technique as a resilience and exposure-management control point. ATT&CK links it to many campaigns and groups, including espionage, financially motivated, ransomware, disruptive, and destructive activity, so coverage should not be limited to one threat model. Executives should ask whether segmentation, intrusion prevention, and removal of unnecessary services are evidenced in practice, especially between cloud and on-premises environments and around critical business systems.
Technical view
SOC, detection engineering, and IR teams should validate behavioral detection for unusual service enumeration across supported platforms rather than relying only on known tool names. ATT&CK provides no official detection text, but the related DET0376 detection strategy indicates this behavior is detectable as a cross-platform pattern. Validate visibility for port, vulnerability, wordlist-style scanning, cloud-to-cloud discovery, cloud-to-on-prem discovery, network-device probing, and macOS Bonjour/mDNS service discovery. Tune detections against expected asset-management, vulnerability-scanning, monitoring, and administrative activity to reduce false positives without suppressing suspicious new sources, unusual scan breadth, or discovery from non-administrative systems.
Likely telemetry
- Network flow metadata showing many destination hosts or ports contacted from one source
- Firewall, router, switch, and network device logs for allowed and denied connection attempts
- IDS/IPS alerts and boundary inspection logs related to service enumeration behavior
- Endpoint process execution and command-line telemetry where scanning utilities or service discovery tools are launched
- Cloud network telemetry such as virtual network flow logs and security group or access-control events
Detection direction
- Baseline approved vulnerability scanning, asset discovery, monitoring, and administrative sources before alerting on scan-like behavior.
- Look for service discovery originating from unusual user workstations, servers, containers, cloud workloads, or network segments that do not normally perform enumeration.
- Correlate discovery activity with preceding compromise indicators and following lateral movement or exploitation attempts rather than treating every scan as equally severe.
- Validate cloud and hybrid visibility, because ATT&CK notes discovery may occur among cloud hosts and across cloud-connected on-premises environments.
- Include macOS service discovery paths such as Bonjour/mDNS in environments where macOS systems are material.
Mitigation priorities
- Use Network Segmentation (M1030) to limit which systems can enumerate or reach sensitive services, especially across user, server, cloud, and critical infrastructure zones.
- Use Network Intrusion Prevention (M1031) and IDS/IPS signatures at relevant boundaries to block or alert on suspicious enumeration traffic where practical.
- Disable or Remove Feature or Program (M1042) by reducing unnecessary services and exposed features so discovery yields fewer usable targets.
- Maintain service inventory and ownership so defenders can quickly decide whether discovered services are expected, unauthorized, or vulnerable.
- Review segmentation and service exposure as part of incident response readiness and compliance evidence, not only as an architecture exercise.
Analyst notes and limits
The relationship set shows broad use of T1046 across multiple named campaigns and groups, which supports treating the behavior as a common discovery pattern rather than a niche indicator. The supplied mitigations map cleanly to exposure reduction, traffic control, and service minimization. Detection should be environment-specific because legitimate scanning and administration can look similar to adversary discovery.
MITRE did not provide official detection text for this object in the supplied fields. The assessment cannot assert current exploitation, customer exposure, or guaranteed detection coverage. Local network architecture, cloud connectivity, approved scanner inventory, endpoint telemetry, and logging retention are required to judge actual risk and control effectiveness.
Network Service Discovery
Adversaries may attempt to get a listing of services running on remote hosts and local network infrastructure devices, including those that may be vulnerable to remote software exploitation. Common methods to acquire this information include port, vulnerability, and/or wordlist scans using tools that are brought onto a system.[1]
Within cloud environments, adversaries may attempt to discover services running on other cloud hosts. Additionally, if the cloud environment is connected to a on-premises environment, adversaries may be able to identify services running on non-cloud systems as well.
Within macOS environments, adversaries may use the native Bonjour application to discover services running on other macOS hosts within a network. The Bonjour mDNSResponder daemon automatically registers and advertises a host’s registered services on the network. For example, adversaries can use a mDNS query (such as dns-sd -B _ssh._tcp .) to find other systems broadcasting the ssh service.[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.
Groups, software, and campaigns
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]
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]
G0098: BlackTech
BlackTech is a suspected Chinese cyber espionage group that has primarily targeted organizations in East Asia--particularly Taiwan, Japan, and Hong Kong--and the US since at least 2013. BlackTech has used a combination of custom malware, dual-use tools, and living off the land tactics to compromise media, construction, engineering, electronics, and financial company networks.[1][2][3]
G1043: BlackByte
BlackByte is a ransomware threat actor operating since at least 2021. BlackByte is associated with several versions of ransomware also labeled BlackByte Ransomware. BlackByte ransomware operations initially used a common encryption key allowing for the development of a universal decryptor, but subsequent versions such as BlackByte 2.0 Ransomware use more robust encryption mechanisms. BlackByte is notable for operations targeting critical infrastructure entities among other targets across North America.[1][2][3][4][5]
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]
G0027: Threat Group-3390
Threat Group-3390 is a Chinese threat group that has extensively used strategic Web compromises to target victims.[1] The group has been active since at least 2010 and has targeted organizations in the aerospace, government, defense, technology, energy, manufacturing and gambling/betting sectors.[2][3][4]
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]
G1030: Agrius
G1016: FIN13
G0105: DarkVishnya
DarkVishnya is a financially motivated threat actor targeting financial institutions in Eastern Europe. In 2017-2018 the group attacked at least 8 banks in this region.[1]
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]
G0032: Lazarus Group
Lazarus Group is a North Korean state-sponsored cyber threat group attributed to the Reconnaissance General Bureau (RGB). [1] [2] Lazarus Group has been active since at least 2009 and is reportedly responsible for the November 2014 destructive wiper attack on Sony Pictures Entertainment, identified by Novetta as part of Operation Blockbuster. Malware used by Lazarus Group correlates to other reported campaigns, including Operation Flame, Operation 1Mission, Operation Troy, DarkSeoul, and Ten Days of Rain.[3]
North Korea’s cyber operations have shown a consistent pattern of adaptation, forming and reorganizing units as national priorities shift. These units frequently share personnel, infrastructure, malware, and tradecraft, making it difficult to attribute specific operations with high confidence. Public reporting often uses “Lazarus Group” as an umbrella term for multiple North Korean cyber operators conducting espionage, destructive attacks, and financially motivated campaigns.[4][5][6]
S0192: Pupy
Pupy is an open source, cross-platform (Windows, Linux, OSX, Android) remote administration and post-exploitation tool. [1] It is written in Python and can be generated as a payload in several different ways (Windows exe, Python file, PowerShell oneliner/file, Linux elf, APK, Rubber Ducky, etc.). [1] Pupy is publicly available on GitHub. [1]
S0093: Backdoor.Oldrea
Backdoor.Oldrea is a modular backdoor that used by Dragonfly against energy companies since at least 2013. Backdoor.Oldrea was distributed via supply chain compromise, and included specialized modules to enumerate and map ICS-specific systems, processes, and protocols.[1][2][3]
S0604: Industroyer
Industroyer is a sophisticated malware framework designed to cause an impact to the working processes of Industrial Control Systems (ICS), specifically components used in electrical substations.[1] Industroyer was used in the attacks on the Ukrainian power grid in December 2016.[2] This is the first publicly known malware specifically designed to target and impact operations in the electric grid.[3]
S0363: Empire
Empire is an open-source, cross-platform remote administration and post-exploitation framework that is publicly available on GitHub. While the tool itself is primarily written in Python, the post-exploitation agents are written in pure PowerShell for Windows and Python for Linux/macOS. Empire was one of five tools singled out by a joint report on public hacking tools being widely used by adversaries.[1][2][3]
S0458: Ramsay
S1073: Royal
Royal is ransomware that first appeared in early 2022; a version that also targets ESXi servers was later observed in February 2023. Royal employs partial encryption and multiple threads to evade detection and speed encryption. Royal has been used in attacks against multiple industries worldwide--including critical infrastructure. Security researchers have identified similarities in the encryption routines and TTPs used in Royal and Conti attacks and noted a possible connection between their operators.[1][2][3][4][5]
S0374: SpeakUp
S0089: BlackEnergy
BlackEnergy is a malware toolkit that has been used by both criminal and APT actors. It dates back to at least 2007 and was originally designed to create botnets for use in conducting Distributed Denial of Service (DDoS) attacks, but its use has evolved to support various plug-ins. It is well known for being used during the confrontation between Georgia and Russia in 2008, as well as in targeting Ukrainian institutions. Variants include BlackEnergy 2 and BlackEnergy 3. [1]
S0601: Hildegard
S0590: NBTscan
S0683: Peirates
S1081: BADHATCH
C0004: CostaRicto
CostaRicto was a suspected hacker-for-hire cyber espionage campaign that targeted multiple industries worldwide, with a large number being financial institutions. CostaRicto actors targeted organizations in Europe, the Americas, Asia, Australia, and Africa, with a large concentration in South Asia (especially India, Bangladesh, and Singapore), using custom malware, open source tools, and a complex network of proxies and SSH tunnels.[1]
C0038: HomeLand Justice
HomeLand Justice was a disruptive cyber campaign conducted by Iranian state-affiliated actors against Albanian government networks in July and September 2022. The activity combined ransomware, wiper malware, and data leak operations. Initial access for HomeLand Justice was established as early as May 2021, and threat actors moved laterally, exfiltrated sensitive information, and maintained persistence for approximately 14 months prior to the destructive phase of the operation. Responsibility was claimed by the "HomeLand Justice" front, which framed the campaign as retaliation against the Mujahedeen-e Khalq (MEK), an Iranian opposition group with a presence in Albania. Multiple Iran-nexus groups are assessed to have participated in the campaign, including HEXANE who probed victim infrastructure.[1][2][3] A second wave of attacks was launched in September 2022 using similar tactics following public attribution of the previous activity to Iran and the severing of diplomatic ties between Iran and Albania.[3]
C0027: C0027
C0027 was a financially-motivated campaign linked to Scattered Spider that targeted telecommunications and business process outsourcing (BPO) companies from at least June through December of 2022. During C0027 Scattered Spider used various forms of social engineering, performed SIM swapping, and attempted to leverage access from victim environments to mobile carrier networks.[1]
C0018: C0018
C0018 was a month-long ransomware intrusion that successfully deployed AvosLocker onto a compromised network. The unidentified actors gained initial access to the victim network through an exposed server and used a variety of open-source tools prior to executing AvosLocker.[1][2]
C0062: Anthropic AI-orchestrated Campaign
The Anthropic AI-orchestrated Campaign was conducted in September 2025 by a likely China nexus espionage actor identified as GTG-1002. The Anthropic AI-orchestrated Campaign was a highly coordinated operation that manipulated Claude Code to perform reconnaissance, vulnerability discovery, exploitation, lateral movement, credential harvesting, data analysis, and exfiltration operations at approximately 30 entities in the technology, financial, chemical, and government sectors. During the Anthropic AI-orchestrated Campaign, human operators used Claude Code agents and Model Context Protocol (MCP) tools to automate cyber operations. Operators broke attacks into discrete tasks, used crafted prompts, and established personas to bypass AI guardrails, enabling the agents to execute the operations with minimal human involvement.[1][2]
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]
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 | 3.2 | Current bundle | 6aef88d1fc6f… |
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]
CISA AR21-126A FIVEHANDS May 2021
CISA. (2021, May 6). Analysis Report (AR21-126A) FiveHands Ransomware. Retrieved June 7, 2021.
Open source URL -
[2]
apple doco bonjour description
Apple Inc. (2013, April 23). Bonjour Overview. Retrieved October 11, 2021.
Open source URL -
[3]
macOS APT Activity Bradley
Jaron Bradley. (2021, November 14). What does APT Activity Look Like on macOS?. Retrieved January 19, 2022.
Open source URL -
[4]
mitre-attack T1046Open source URL
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