T1110.001: Password Guessing
Adversaries with no prior knowledge of legitimate credentials within the system or environment may guess passwords to attempt access to accounts. Without knowledge of the password for an account, an adversary may opt to systematically guess the password using a repetitive or iterative mechanism. An adversary may guess login credentials without prior knowledge of system or environment passwords during an operation by using a list of common passwords. Password guessing may or may not take into account the target's policies on password complexity or use policies that may lock accounts out after a number of failed attempts.
Guessing passwords can be a risky option because it could cause numerous authentication failures and account lockouts, depending on the organization's login failure policies. [1]
Typically, management services over commonly used ports are used when guessing passwords. Commonly targeted services include the following:
* SSH (22/TCP) * Telnet (23/TCP) * FTP (21/TCP) * NetBIOS / SMB / Samba (139/TCP & 445/TCP) * LDAP (389/TCP) * Kerberos (88/TCP) * RDP / Terminal Services (3389/TCP) * HTTP/HTTP Management Services (80/TCP & 443/TCP) * MSSQL (1433/TCP) * Oracle (1521/TCP) * MySQL (3306/TCP) * VNC (5900/TCP) * SNMP (161/UDP and 162/TCP/UDP)
In addition to management services, adversaries may "target single sign-on (SSO) and cloud-based applications utilizing federated authentication protocols," as well as externally facing email applications, such as Office 365.[2]. Further, adversaries may abuse network device interfaces (such as `wlanAPI`) to brute force accessible wifi-router(s) via wireless authentication protocols.[3]
In default environments, LDAP and Kerberos connection attempts are less likely to trigger events over SMB, which creates Windows "logon failure" event ID 4625.
Analyst context for executives and security teams
Password Guessing matters because it turns weak or predictable passwords into a direct path to account access across many business-critical entry points: identity providers, SaaS and office platforms, cloud services, VPN-like management interfaces, servers, network devices, ESXi, containers, and traditional Windows/Linux/macOS services. For leaders, the practical issue is not only whether passwords are “strong,” but whether the organization can see repeated authentication failures across all major login surfaces before account lockouts, service disruption, or unauthorized access create an incident.
Executive priority
Treat this as an identity and access resilience issue, not just a password hygiene problem. The ATT&CK object spans enterprise platforms including Identity Provider, IaaS, SaaS, Office Suite, network devices, ESXi, containers, and operating systems, so ownership often crosses IAM, cloud, infrastructure, SOC, and compliance teams. Executives should ask: which externally reachable and privileged services still rely heavily on passwords; where MFA, password policy, and account-use policy are enforced; and whether audit evidence proves failed-login monitoring is complete across cloud, SSO, email, remote administration, and legacy protocols.
Technical view
This is a credential-access sub-technique of Brute Force focused on attempts to guess unknown passwords through repetitive or iterative logins. ATT&CK notes commonly targeted services such as SSH, Telnet, FTP, SMB/Samba, LDAP, Kerberos, RDP, HTTP/HTTPS management services, MSSQL, Oracle, MySQL, VNC, and SNMP, as well as SSO, federated cloud applications, externally facing email applications, and network device interfaces. Because no official detection text is provided, SOC teams should validate coverage using the related detection strategy DET0551: multi-source authentication failure correlation. A key ATT&CK-noted blind spot is that LDAP and Kerberos attempts may be less likely than SMB to produce Windows logon failure event ID 4625 in default environments, so Windows event monitoring alone may be insufficient.
Likely telemetry
- Identity provider and SSO authentication success/failure logs
- SaaS and office suite sign-in logs, including externally facing email applications
- Cloud/IaaS control-plane authentication logs
- Windows security logs, including logon failure events where generated
- LDAP and Kerberos authentication telemetry
Detection direction
- Validate multi-source correlation for repeated authentication failures by account, source, destination service, protocol, geography/network location, and time window.
- Do not rely only on Windows event ID 4625; ATT&CK specifically notes LDAP and Kerberos attempts may be less visible than SMB in default environments.
- Tune detections to distinguish password guessing from normal user error, password changes, expired credentials, service account misconfiguration, vulnerability scanning, and administrative testing.
- Prioritize visibility for internet-facing authentication surfaces, SSO/federated authentication, office/email applications, remote management protocols, and privileged or high-value accounts.
- Use relationship context from ATT&CK to inform threat modeling: multiple groups and software entries are associated with this technique, but local telemetry is required to determine relevance or exposure.
Mitigation priorities
- Enforce strong password policies as represented by M1027, including complexity, length, history, and reuse prevention where supported by the environment.
- Apply MFA as represented by M1032, prioritizing privileged accounts, externally accessible services, SSO/cloud applications, and remote administration paths.
- Use account use policies as represented by M1036, including lockout or throttling behavior, login restrictions, and inactivity controls, while balancing business continuity risks from excessive lockouts.
- Keep exposed services, operating systems, applications, drivers, and firmware updated in line with M1051 to reduce the broader attack surface around authentication services and management interfaces.
- Review which legacy or management protocols are exposed and whether monitoring, MFA, password policy, and account restrictions are consistently enforced across them.
Analyst notes and limits
ATT&CK provides no official detection narrative for this sub-technique, but the related DET0551 detection strategy supports a correlation-led approach across authentication sources. The relationship set includes several groups and software entries that use Password Guessing, which supports prioritizing this behavior in threat models, but it should not be interpreted as evidence of active targeting in any specific environment.
This take is based only on the supplied ATT&CK STIX fields, external references, and relationships. It does not establish that any organization is exposed, compromised, or covered by detection. Actual risk depends on local service exposure, authentication architecture, password and MFA enforcement, logging configuration, retention, and SOC correlation maturity.
Password Guessing
Adversaries with no prior knowledge of legitimate credentials within the system or environment may guess passwords to attempt access to accounts. Without knowledge of the password for an account, an adversary may opt to systematically guess the password using a repetitive or iterative mechanism. An adversary may guess login credentials without prior knowledge of system or environment passwords during an operation by using a list of common passwords. Password guessing may or may not take into account the target's policies on password complexity or use policies that may lock accounts out after a number of failed attempts.
Guessing passwords can be a risky option because it could cause numerous authentication failures and account lockouts, depending on the organization's login failure policies. [1]
Typically, management services over commonly used ports are used when guessing passwords. Commonly targeted services include the following:
* SSH (22/TCP) * Telnet (23/TCP) * FTP (21/TCP) * NetBIOS / SMB / Samba (139/TCP & 445/TCP) * LDAP (389/TCP) * Kerberos (88/TCP) * RDP / Terminal Services (3389/TCP) * HTTP/HTTP Management Services (80/TCP & 443/TCP) * MSSQL (1433/TCP) * Oracle (1521/TCP) * MySQL (3306/TCP) * VNC (5900/TCP) * SNMP (161/UDP and 162/TCP/UDP)
In addition to management services, adversaries may "target single sign-on (SSO) and cloud-based applications utilizing federated authentication protocols," as well as externally facing email applications, such as Office 365.[2]. Further, adversaries may abuse network device interfaces (such as `wlanAPI`) to brute force accessible wifi-router(s) via wireless authentication protocols.[3]
In default environments, LDAP and Kerberos connection attempts are less likely to trigger events over SMB, which creates Windows "logon failure" event ID 4625.
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 | T1110 | Brute Force | This object subtechnique of Brute Force. |
Groups, software, and campaigns
G1055: VOID MANTICORE
VOID MANTICORE is a threat group assessed to operate on behalf of Iran’s Ministry of Intelligence and Security (MOIS).[1] Active since at least mid-2022, VOID MANTICORE has targeted government entities, critical infrastructure, and private sector organizations across Albania, Israel, and the United States.[1][2] VOID MANTICORE conducts destructive cyber operations, combining wiper attacks with hack-and-leak campaigns. The group has operated under multiple public-facing personas, including HomeLand Justice in operations against Albania, Karma and Karma Below in campaigns targeting Israeli organizations, and Handala Hack, its current primary persona, which has claimed activity against Israeli and U.S. entities, including a March 2026 attack against Stryker Corporation.[1][3] VOID MANTICORE has been observed collaborating with Scarred Manticore, which has been linked to initial access operations preceding VOID MANTICORE’s activity.[4]
G0007: APT28
APT28 is a threat group that has been attributed to Russia's General Staff Main Intelligence Directorate (GRU) 85th Main Special Service Center (GTsSS) military unit 26165.[1][2] This group has been active since at least 2004.[3][4][5][6][7][8][9][10][11][12][13]
APT28 reportedly compromised the Hillary Clinton campaign, the Democratic National Committee, and the Democratic Congressional Campaign Committee in 2016 in an attempt to interfere with the U.S. presidential election.[5] In 2018, the US indicted five GRU Unit 26165 officers associated with APT28 for cyber operations (including close-access operations) conducted between 2014 and 2018 against the World Anti-Doping Agency (WADA), the US Anti-Doping Agency, a US nuclear facility, the Organization for the Prohibition of Chemical Weapons (OPCW), the Spiez Swiss Chemicals Laboratory, and other organizations.[14] Some of these were conducted with the assistance of GRU Unit 74455, which is also referred to as Sandworm Team.
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]
S0020: China Chopper
S0367: Emotet
S0374: SpeakUp
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]
S0698: HermeticWizard
HermeticWizard is a worm that has been used to spread HermeticWiper in attacks against organizations in Ukraine since at least 2022.[1]
S0532: Lucifer
S0453: Pony
S0341: Xbash
Xbash is a malware family that has targeted Linux and Microsoft Windows servers. The malware has been tied to the Iron Group, a threat actor group known for previous ransomware attacks. Xbash was developed in Python and then converted into a self-contained Linux ELF executable by using PyInstaller.[1]
S0598: P.A.S. Webshell
P.A.S. Webshell is a publicly available multifunctional PHP webshell in use since at least 2016 that provides remote access and execution on target web servers.[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 | 1.7 | Current bundle | 6b30f9682b42… |
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]
Cylance Cleaver
Cylance. (2014, December). Operation Cleaver. Retrieved September 14, 2017.
Open source URL -
[2]
US-CERT TA18-068A 2018
US-CERT. (2018, March 27). TA18-068A Brute Force Attacks Conducted by Cyber Actors. Retrieved October 2, 2019.
Open source URL -
[3]
Trend Micro Emotet 2020
Cybercrime & Digital Threat Team. (2020, February 13). Emotet Now Spreads via Wi-Fi. Retrieved February 16, 2022.
Open source URL -
[4]
mitre-attack T1110.001Open source URL
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