Lateral movement refers to the cyber techniques and tools attackers use to progressively move through a network, searching for valuable assets and data.
Attackers don't simply stay put after gaining initial access to a system. They want to move from one compromised system to another, often exploiting legitimate tools and credentials. Their goal is to gain deeper access to the network, escalate privileges, and ultimately reach the most sensitive areas of an organization's infrastructure.
Lateral movement is a critical phase in many advanced cyber attacks, allowing threat actors to:
Understanding lateral movement attacks helps organizations to safeguard their networks against advanced threats. By identifying the indicators of lateral movement and implementing the right security protocols, businesses can greatly minimize the risk of a widespread breach. Threat actors typically follow steps to navigate a network and achieve their objectives.
The first phase begins with the attacker gaining a foothold in the network through various means:
At this stage, the attacker has limited access but is positioned to begin exploring the network.
Once inside, the attacker starts gathering information about the network environment:
Attackers often use legitimate system tools to avoid detection during this phase.
With a better understanding of the network, the attacker begins to:
These actions ensure the attacker can retain control even if the original access point is found and secured.
To move laterally, attackers need valid credentials. They employ various techniques to obtain them:
With a collection of credentials, the attacker aims to increase their level of access:
The goal is to obtain the highest level of privileges possible, often domain admin rights.
In this final stage, the attacker has achieved their objectives:
At this point, the attacker can cause significant damage to the organization, whether through data theft, system disruption, and/or holding assets for ransom.
Cybercriminals employ various sophisticated techniques to move laterally within a network. Understanding these tactics is critical for developing effective defense strategies. Here are some of the most common lateral movement tactics:
Allows attackers to authenticate to remote servers and services using the underlying new technology local access network (LAN) manager (NTLM) or LAN manager (LM) hash of a user's password instead of the password itself.
Why attackers use this:
Similar to Pass the Hash, but used in Kerberos authentication environments:
While often an initial attack vector, spear phishing is also used for lateral movement:
Attackers exploit legitimate remote access tools and protocols:
In Unix-based environments, attackers may:
Attackers deploy keyloggers to capture credentials and sensitive information:
These tactics highlight the importance of a multi-layered security approach, including strong authentication measures, network segmentation, and continuous monitoring of suspicious activities. Organizations can better prepare their defenses against lateral movement attacks by understanding these common tactics.
Understanding the technique of lateral movement in various types of cyber attacks is crucial for organizations. It equips them to better prepare their defenses against these attack types. Here are the main types of attacks that often involve lateral movement:
Increasingly sophisticated ransomware attacks often involve lateral movement as attackers move through the network to identify and encrypt high-value data.They may also seek to turn off backups and security software. The goal is to maximize impact and increase the likelihood of ransom payment. For example both Ryuk and WannaCry ransomware spread rapidly through networks.
Many attacks aim to steal sensitive information from multiple different systems. They may establish multiple exfiltration points to ensure data theft success. Typical targets include customer data, financial information, and intellectual property. Advanced persistent threat(APT) groups often use this approach for long-term espionage campaigns
State-sponsored and corporate espionage involves attackers aiming to maintain a long-term, stealthy presence in the network. They move carefully between systems to gather intelligence. The focus is on remaining undetected while collecting valuable information. Examples include APT29 (Cozy Bear) and APT28 (Fancy Bear).
Some attackers use lateral movement to build or expand botnets. The goal is to compromise as many systems as possible within a network. Infected systems become part of a giant botnet controlled by the attacker. Attackers use botnets for DDoS attacks, cryptomining, or further malware distribution. Mirai and Emotet are both examples of a botnet infection.
Each attack type leverages lateral movement techniques to maximize impact and achieve specific objectives.
Effective defense against lateral movement requires a multi-faceted approach that combines detection and prevention strategies. Here are five essential methods to bolster your organization's security posture:
By implementing these strategies, organizations can significantly enhance their ability to detect lateral movement attempts early and prevent attackers from successfully navigating the network.
Trellix offers a comprehensive suite of security solutions designed to detect, prevent, and respond to lateral movement attempts. By leveraging advanced technologies and a holistic approach to cybersecurity, Trellix empowers organizations to stay ahead of sophisticated threats.
Monitor endpoints in real-time: Trellix EDR constantly tracks endpoint behavior to detect suspicious activities like unauthorized file access, process creation, or network connections.
Utilize AI-guided investigations: Trellix EDR leverages Trellix Wise to analyze and correlate endpoint events, providing analysts with actionable insights into potential lateral movement attempts. This helps prioritize investigations and focus on the most critical threats.
Automate response and isolate compromised endpoints: Trellix EDR automates response actions like endpoint isolation, file quarantine, and process termination, effectively containing lateral movement and preventing further damage.
Eliminate blindspots where attackers hide: Trellix NDR provides comprehensive network visibility, extending beyond traditional firewalls to monitor traffic across the entire network, including internal segments. This helps uncover hidden lateral movement activities.
Disrupt and detect attackers: Trellix NDR employs multiple detection techniques, including signature-based, anomaly detection, and behavioral analysis, to identify a wide range of lateral movement tactics at every stage of the cyber kill chain.
Map potential lateral movement paths: Trellix NDR utilizes AI-powered visualization tools to map potential lateral movement paths, helping analysts understand the attack flow and identify critical assets at risk.
Correlate threat detection across your environment: Trellix XDR integrates data from multiple security sources, including endpoints, networks, and cloud environments, providing a unified view of threat activity. XDR enables comprehensive detection and analysis of lateral movement across the entire attack surface.
Centralize your console management for comprehensive visibility: Trellix XDR offers a centralized management console, providing a single pane of glass for security operations. This simplifies threat investigation and response by providing a holistic view of the attack landscape.
Automate threat hunting: Trellix XDR automates threat-hunting activities, proactively searching for indicators of lateral movement and other malicious activities to identify and respond to threats before they can cause significant damage.
Gain actionable real-time intelligence: Trellix leverages global threat intelligence to stay ahead of emerging lateral movement tactics and provide customers with the latest insights and best practices.
Use global threat intelligence to stay ahead of new tactics: Trellix continuously updates its threat intelligence database with the latest information on lateral movement techniques, ensuring customers can access the most relevant and up-to-date threat data.
Automatically prioritize and investigate threats: Trellix utilizes AI to prioritize threats based on severity and impact, reducing the mean-time-to-detect (MTTD) and mean-time-to-remediate (MTTR) lateral movement attacks.
By leveraging Trellix's comprehensive approach to lateral movement prevention, organizations can significantly enhance their security posture, reduce their risk of cyberattacks, and protect their critical assets.
For more information on how Trellix can help your organization prevent lateral movement and enhance overall security, contact our team of experts or schedule a demo today.
Detecting and Visualizing Lateral Movement Attacks with Trellix XDR