What is Lateral Movement? How Attackers Move Through Your Network Undetected

It started with one stolen credential.

In February 2024, the BlackCat ransomware group gained access to Change Healthcare's network via a single compromised login. No zero-day exploit, no custom malware, just a valid username and password. What followed were weeks of quiet movement across the network until ransomware triggered simultaneously across critical systems, disrupting prescription processing nationwide and costing a reported $22 million in ransom. The breach started small, and the catastrophe came from what happened next.

Attackers rarely strike where they land. They compromise one endpoint, then move through the network, escalating privileges and collecting credentials until they reach something worth taking. In environments where workers share terminals across shifts, that first foothold is easier to acquire than most security teams realize. According to ReliaQuest's 2025 Annual Threat Report, attackers move from initial access to lateral movement in an average of just 48 minutes. That window is shrinking every year.

This technique is called lateral movement: the methods attackers use after gaining initial access to navigate between systems, escalate privileges, and reach high-value targets. It is what separates an isolated endpoint compromise from a breach that makes headlines. This blog breaks down how it works, why certain environments are structurally more exposed, and what actually stops it.

What Is Lateral Movement?

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What makes lateral movement operationally dangerous is persistence. Even if security teams detect and quarantine the first compromised device, an attacker who has already spread across the network retains their foothold. The breach does not end with the detection of patient one.

Within the MITRE ATT&CK framework, Lateral Movement is one of the core post-compromise tactics. It includes techniques such as Remote Services, SMB/Windows Admin Shares, Remote Desktop Protocol (RDP), Pass-the-Hash, and Internal Spear Phishing. Mapping security controls against these techniques helps organizations identify where attackers can move after gaining initial access and where defensive gaps exist.

Why Initial Access is Just the Beginning

The entry point is almost never the target. A manufacturing line supervisor's tablet, a logistics coordinator's shared workstation, a registration kiosk in a hospital lobby: none of these hold crown-jewel data on their own. Attackers treat them as launchpads.

Once inside, an attacker can survive discovery on the initially compromised device. By the time your security team isolates that machine, the attacker may have already established backdoors on five others. This persistence mechanic is precisely why lateral movement separates APTs from simpler attacks.

How Lateral Movement Works: The Attack Sequence

Reconnaissance

After gaining a foothold, the attacker maps the network. They identify devices, operating systems, user hierarchies, and firewall rules. Tools like Netstat, PowerShell, and ARP cache help them understand where they are and where they can go. In operational environments with many devices and few IT staff, this reconnaissance phase can move extremely fast.

Credential Theft and Privilege Escalation

The attacker needs valid credentials to impersonate legitimate users. They use tools like Mimikatz to extract plaintext passwords and Kerberos tickets from memory, keyloggers to capture credentials as users type them, and social engineering to trick employees into sharing access. Once they hold admin-level credentials, they effectively control the network.

Shared-device environments compound this problem significantly. Unlike personal laptops assigned to a single employee, shared workstations often authenticate dozens of workers every day. Credentials may remain cached in memory, sessions are left active between shifts, and administrative privileges are frequently broader than necessary to maintain operational efficiency. These architectural realities make shared devices attractive targets for credential theft and lateral movement. 

The common denominator behind nearly every lateral movement technique is reusable credentials. Whether attackers steal passwords, NTLM hashes, or Kerberos tickets, they rely on secrets that can be copied and replayed. Eliminating reusable credentials fundamentally changes the economics of lateral movement. 

In many enterprises, Active Directory serves as the central identity authority. Once attackers obtain privileged Active Directory credentials, they can often enumerate users, discover trust relationships, and identify additional systems to compromise. This is why identity infrastructure becomes one of the highest-value targets during lateral movement.

Expanding Access Across the Network

Using stolen credentials, the attacker hops between systems. Each successful hop yields more intelligence about the environment and more credentials to leverage. They install backdoors on multiple systems to ensure re-entry if one path is discovered.

Covering Tracks and Maintaining Persistence

Attackers scrub event logs, space out their activity to avoid triggering threshold-based alerts, and tunnel data over encrypted channels. They deliberately blend in with legitimate administrative traffic, making detection harder with every system they compromise.

Each stage builds on the last. Initial access hands attackers a foothold. Privilege escalation hands them keys. Lateral movement is where they use those keys to quietly unlock everything else. Security teams that focus detection efforts on the perimeter miss the most damaging phase entirely. 

Lateral Movement Techniques Attackers Use

• Pass-the-Hash (PtH): Instead of needing a plaintext password, the attacker takes the hashed version and passes it directly to the authentication system. Because Windows authentication can accept a cryptographic password hash instead of requiring the original password, attackers can authenticate without ever knowing the user's actual password. Environments that still rely on NTLM authentication are particularly susceptible.
• Pass-the-Ticket (PtT): Attackers steal Kerberos tickets and use them to authenticate as legitimate users without knowing the actual password. In healthcare and manufacturing environments running Windows-heavy infrastructure, this is a high-frequency attack vector.
• Kerberoasting and NTLM Relay: Kerberoasting lets attackers request service tickets for any account registered in Active Directory, then crack them offline. NTLM relay intercepts authentication traffic and forwards it to gain access to a different system.
• RDP, SMB, and SSH Abuse: Attackers use Remote Desktop Protocol, Server Message Block, and Secure Shell to move between machines as if they were authorized administrators.
• Living-off-the-Land (LotL): PowerShell, WMI, and other native Windows tools execute attacker commands without dropping unusual executables onto disk. Because these tools are digitally signed and routinely used by system administrators, distinguishing legitimate administrative activity from attacker behavior becomes extremely difficult without behavioral analytics or identity-based detection.
• Internal Spear Phishing: Once inside a legitimate email account, attackers target specific employees with messages that appear to come from a trusted colleague, extracting credentials or access codes with minimal resistance.
• Exploiting Misconfigurations and Trust Relationships: Weak Group Policy settings, over-permissioned service accounts, and misconfigured Active Directory create attack paths that require no exploits at all.

Attack Types That Depend on Lateral Movement

Ransomware spreads laterally before activation, seeding payloads across as many systems and backups as possible before simultaneously triggering encryption. The Change Healthcare attack in 2024 followed exactly this pattern, beginning with stolen credentials and resulting in a reported $22 million ransom.

Data exfiltration requires lateral movement to reach the servers where intellectual property, patient records, and financial data actually live. The initial entry point rarely holds what attackers want.

Espionage depends on remaining undetected for months or years, quietly observing operations and exfiltrating data in small volumes that never trigger volume-based alerts.

Botnet infection turns every compromised device into an asset for future attacks, including DDoS operations, credential harvesting campaigns, and further intrusion staging.

Why Lateral Movement is Difficult to Detect

Attackers use valid credentials, so their traffic looks like legitimate user activity. They use native OS tools, so no unusual software appears on disk. They scrub logs and pace their actions to stay below alert thresholds. While Endpoint Detection and Response (EDR) platforms are effective at identifying malware and suspicious processes, they are less effective when attackers authenticate using legitimate credentials and built-in administrative tools. This is why identity monitoring has become an essential complement to endpoint security.

Nearly 90% of organizations experienced a security incident involving lateral movement in the past year, with each incident averaging more than 7 hours of downtime, according to Illumio's 2025 Global Cloud Detection and Response Report. Yet 67% of security teams receive more alerts than they can investigate, with an average of over 2,000 per day. Alert fatigue causes real incidents to get buried in noise.

In environments where dozens of people share devices and credentials are rotated inconsistently, detecting lateral movement becomes structurally harder. 

How to Detect It Early

Anomalous login patterns and identity signals: Flag users logging in from unexpected locations, at unusual hours, or across multiple disparate systems in short windows. A single nurse authenticating simultaneously from a ward terminal and an admin server warrants investigation.

East-west traffic monitoring: Most security tools focus on north-south traffic entering and leaving the network. Lateral movement lives in east-west traffic between internal hosts. Monitoring internal communication patterns and baselining normal device-to-device flows surfaces anomalies that perimeter tools miss.

UEBA and behavioral baselining: User and Entity Behavior Analytics establishes what normal looks like for each account and flags deviations. Accounts suddenly accessing systems they have never touched, or service accounts exhibiting human-like browsing patterns, stand out against the baseline.

Identity Threat Detection and Response (ITDR): Modern ITDR platforms continuously monitor authentication events, privilege changes, directory activity, and identity signals to identify suspicious behavior that traditional endpoint security tools may overlook. Because many lateral movement techniques rely on legitimate credentials, identity-centric monitoring has become a critical layer in modern Zero Trust architectures.

Organizations often complement endpoint security solutions with identity-focused tools such as Microsoft Defender for Identity, CrowdStrike Falcon Identity Protection, or similar ITDR platforms. These solutions improve visibility into identity-based attacks, while strong authentication controls reduce the opportunity for credential theft in the first place.

Mapping lateral movement paths (LMPs): Identify the connections between non-sensitive machines and sensitive systems in your network. A scheduling terminal that shares stored credentials with an EHR server represents a lateral movement path that attackers will find before your security team does if it goes unmapped.

How to Prevent Lateral Movement

Zero Trust and Microsegmentation

A zero-trust architecture treats every access request as untrusted until verified, regardless of where it originates. Verifying identity, device health, and context at every step removes the flat network assumption that attackers depend on. Microsegmentation breaks the network into isolated zones, so a compromised device in one segment cannot freely reach systems in another.

Least Privilege and IAM Hygiene

Enforcing least privilege means every account gets access to only what its function requires, nothing more. Remove dormant accounts, audit permissions regularly, and lock down service accounts that have quietly accumulated excessive rights over time. Every over-permissioned account is a path attackers can walk without raising an alarm.

Multi-Factor Authentication and Credential Hardening

Requiring a second layer of verification beyond a password means a stolen credential alone cannot open doors. The practical challenge in high-turnover, shared-device environments is that friction drives workarounds. Multi-factor authentication only works as a control if workers actually use it consistently across every login.

Passwordless Authentication as a Structural Fix

Techniques like Pass-the-Hash and Pass-the-Ticket only work because password-based credentials exist to steal and relay. Replacing passwords with biometrics, badge-tap access, hardware tokens, or device-bound certificates removes the raw material those attacks require. Depending on operational requirements, passwordless authentication may include passkeys, hardware-backed credentials, biometrics, smart badges, or device-bound certificates. The common goal is eliminating reusable credentials that attackers can steal and replay.This is the upstream intervention that layering more verification steps on top of passwords cannot achieve on its own. OLOID builds this type of authentication infrastructure specifically for frontline and shared-device environments, where traditional password hygiene breaks down under the pressure of shift rotations, shared terminals, and high staff turnover.

Endpoint Security and Regular Patching

Attackers actively scan for known vulnerabilities in outdated software, and lateral movement frequently travels through exactly the unpatched services that security teams deferred updating. A disciplined patching cadence across all endpoints, including shared workstations and operational devices that are easy to overlook, closes those pathways before they get exploited. Endpoint security solutions running continuous behavioral monitoring add the detection layer that patching alone cannot provide, flagging anomalous process activity and lateral movement indicators at the device level in real time.

Lateral Movement in High-Risk Environments

Shared-device and frontline worker environments face a structural vulnerability that standard enterprise security frameworks were not designed to address. When a manufacturing floor worker, a warehouse picker, or a hospital registration staff member shares a terminal with 10 colleagues across shifts, credential management becomes nearly impossible without dedicated tooling. Stale sessions, shared PINs, and password reuse across workstations create lateral movement paths that no amount of policy enforcement can resolve without the right authentication architecture.

OT and critical infrastructure environments compound the problem. Industrial control systems, connected medical devices, and logistics automation platforms frequently run legacy software that cannot support modern authentication methods. These systems become easy lateral movement targets because they sit on the same network as administrative systems, accept weak authentication, and generate minimal logs.

Third-party and contractor access introduces external identities into your environment with inconsistent security postures. Vendors accessing your systems through their own devices and credentials represent a lateral movement entry point that your internal IAM policies cannot directly govern.

How to Respond When It's Already Happening

Containment before investigation: Isolate suspected segments immediately using firewall rules or by removing compromised devices from the network. Disable accounts you believe are compromised while the investigation runs in parallel.

Forensics and evidence preservation: Capture memory dumps from affected systems before shutting them down. Volatile memory holds attacker tools, credentials, and connection histories that disappear on reboot. Preserve logs and network captures with timestamps to reconstruct the attack path.

Credential reset and rotation: Rotate credentials for every account that had access to compromised systems, not just the ones confirmed as compromised. Service accounts and shared credentials require special attention because they are often overlooked during incident response.

Incident playbooks: Pre-written response procedures reduce the time between detection and containment. Tabletop exercises run before an incident occurs ensure your team executes under pressure rather than improvising.

How Passwordless Authentication Stops Lateral Movement 

Most lateral movement prevention frameworks focus on what happens after an attacker is already inside. Segment the network, monitor east-west traffic, hunt for anomalous behavior, all of that matters. But the more productive question is: what removes the raw material attackers depend on to move laterally in the first place?

The answer, consistently, is credentials. Pass-the-Hash, Pass-the-Ticket, Kerberoasting, credential dumping, internal phishing: these techniques share one prerequisite. Passwords have to exist to be stolen. In environments where dozens of workers rotate through shared terminals across shifts, that credential attack surface does not just exist; it multiplies with every login, every session left open, every password written on a sticky note near a kiosk.

This is where OLOID's approach addresses the problem structurally rather than reactively. OLOID replaces passwords with identity-bound authentication methods that cannot be phished, relayed, or dumped from memory. Specifically:

Biometric authentication via facial recognition and palm scanning ties access to a verified physical identity. There is no credential to steal because no password exists. A stolen hash from a shared terminal is worthless against a system that requires the worker's face.

Badge and NFC-based authentication give frontline workers a fast, physical authentication factor already embedded in their existing ID infrastructure. It works without personal phones, without company email, and without the friction that causes workers to bypass controls entirely.

Phishing-resistant MFA combines facial identity with badge credentials, delivering zero-trust-compliant multi-factor authentication in environments where traditional MFA methods, such as SMS codes or authenticator apps, are operationally impractical.

Individual accountability on shared devices ensures every session is attributed to a verified person, not a shared account. Every authentication event is logged and tied to an individual, creating the audit trails that lateral movement investigations depend on and that shared-password environments fundamentally cannot provide.This level of identity attribution also simplifies compliance with regulations such as HIPAA, CJIS, PCI DSS, FDA 21 CFR Part 11, and NERC CIP by ensuring every system action is linked to a verified individual rather than a shared account.

Automated identity lifecycle management integrates with HRIS and PACS systems to provision and revoke access automatically. When a worker changes roles or leaves, access is updated across all devices without manual IT intervention, closing the dormant account vulnerabilities that attackers actively look for during reconnaissance.

SSO integration with existing identity providers like Okta and Azure extends passwordless access across enterprise applications without rebuilding the identity stack. Workers authenticate once with a biometric or badge factor and move through the applications they need without re-entering credentials.

Lateral movement is ultimately an identity problem. Attackers move through networks by impersonating legitimate users, and they can only do that because the credentials they steal are sufficient to pass authentication checks. When authentication is tied to something the attacker cannot possess, the movement chain breaks.

If your organization operates in healthcare, manufacturing, logistics, or any environment where frontline workers share devices and high staff turnover makes credential hygiene structurally difficult, the credential attack surface is larger than your security team's policies can manage manually. See how OLOID addresses it in practice.

FAQs

1. What is lateral movement in cybersecurity?

Lateral movement refers to the techniques attackers use after gaining initial access to navigate between systems, escalate privileges, and reach high-value targets. The entry point is rarely the goal. Lateral movement is what turns a single compromised credential into a network-wide breach.

2. What are the most common lateral movement techniques?

Pass-the-Hash, Pass-the-Ticket, Kerberoasting, NTLM relay, RDP and SMB abuse, and Living-off-the-Land attacks using native tools like PowerShell and WMI. All of these blend into legitimate administrative activity, which is what makes them hard to catch.

3. How do attackers avoid detection during lateral movement?

They use valid stolen credentials, native OS tools, and encrypted channels. They scrub logs, pace their actions to stay below alert thresholds, and mimic normal administrative behavior. The activity looks legitimate because the credentials are legitimate.

4. What is the difference between lateral movement and privilege escalation?

Privilege escalation is gaining higher permissions than an account legitimately holds. Lateral movement is moving from one system to another. The two almost always occur together: attackers escalate to get credentials that let them move laterally, and move laterally to reach accounts with higher privileges.

5. How does Zero Trust prevent lateral movement?

Zero Trust verifies every access request based on identity, device health, and context, regardless of where it originates. Microsegmentation limits which systems can communicate with each other, forcing attackers to re-authenticate at every step rather than moving freely once inside.

6. Why are healthcare and manufacturing environments especially vulnerable?

Shared devices, shift-based workforces, legacy systems, and OT infrastructure create credential gaps that standard enterprise IAM frameworks were not built to handle. High staff turnover and inconsistent password hygiene across shared terminals expand the credential attack surface significantly.

7. Can multi-factor authentication (MFA) stop lateral movement?

MFA significantly reduces the risk of credential theft during initial access, but it does not eliminate all lateral movement techniques. If attackers obtain active session tokens, cached credentials, or privileged access after authentication, they may still move across systems. Passwordless authentication further reduces this risk by eliminating reusable credentials that techniques such as Pass-the-Hash and Pass-the-Ticket depend on.