Lateral movement is the process that attackers use to move deeper within an infected network after gaining access to find sensitive data, vulnerabilities or to control additional systems. Instead of immediately targeting sensitive data or critical systems, attackers take their time to explore the network, escalate privileges, identify high-value targets and establish persistence within a network. This calculated approach is common in advanced persistent threats (APTs) and other sophisticated cyberattacks.
Even if the breach is discovered, the attacker can maintain their presence to move laterally within the network to avoid detection. If the attackers manage to establish persistence within the network and avoid detection they can inflict serious damage to an organisation through ransomware attacks, data exfiltration or espionage.
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Lateral movement attacks are not a single stage but a multi-stage process that attackers carefully execute to infiltrate and exploit networks. The following outlines the typical stages of lateral movement:
The first stage in a lateral movement attack is to gain access to the network. Attacker's can try to exploit a user's account using phishing emails, social engineering tactics or even vulnerabilities with software applications to gain unauthorized access.
In the reconnaissance stage, Attacker's will begin by mapping the network’s architecture, identifying connected devices, and searching for valuable targets. Attackers will explore and map out the network, including the location of sensitive data, credentials, and security configurations. This is a crucial stage for the attacker as it helps them to understand the relationships between systems and plan their next steps while avoiding detection from security systems.
Once reconnaissance is complete, attackers will often focus on harvesting credentials like usernames, passwords, or password hashes from compromised systems. Credential dumping tools like Mimikatz or brute force attacks against weak passwords are common methods used to obtain access to accounts with higher privileges. These stolen credentials allow attackers to impersonate legitimate users, enabling them to move laterally through the network without raising suspicion.
Privilege escalation involves exploiting software vulnerabilities, misconfigurations, or poor access controls to obtain higher-level permissions. Attackers might exploit flaws in an application to gain administrative privileges to gain unrestricted access to critical systems. Privilege escalation is a pivotal stage in a lateral movement attack because it significantly increases the attacker’s ability to move deeper into the network.
Once attackers have sufficient credentials and privileges, they can proceed to lateral movement. This involves navigating from one system to another within the network, accessing resources, and preparing for the final stages of their attack and also looking out for countermeasures that a security team can use that could stop the attack. Attackers can use legitimate tools like Remote Desktop Protocol (RDP), PowerShell, or Windows Management Instrumentation (WMI) to blend in with normal operations and avoid detection. Attackers may also install backdoors or establish persistence mechanisms to maintain access to the network even if their initial entry point is discovered and closed.
After moving laterally, the attackers reach their target systems, which may house sensitive data, intellectual property, or critical infrastructure. Attacks could also execute malicious software, like ransomware to encrypt files, exfiltrate sensitive data or disable systems to cause operational disruption. This stage is often the culmination of the lateral movement process. The longer attackers can maintain access to the network without detection, the more extensive the damage they can inflict.
Lateral movement is a key component of ransomware campaigns. Attackers move across systems to spread malware, maximizing its impact before encrypting files and demanding payment. This strategy increases the likelihood of ransom payments, as entire organizations may become paralyzed.
Attackers often rely on lateral movement to locate and extract sensitive information. By infiltrating different parts of the network, they can identify valuable data such as intellectual property, financial records, or personally identifiable information (PII). Successful data exfiltration can result in severe reputational and financial damage for organizations.
State-sponsored actors and sophisticated hacking groups use lateral movement to infiltrate high-value systems over long periods. These attackers aim to maintain a persistent presence within the network, gathering intelligence and compromising critical infrastructure without detection.
In botnet campaigns, lateral movement enables attackers to compromise additional devices within a network. By infecting multiple endpoints, attackers can expand their botnet and increase the scale of their attacks, this could include distributed denial-of-service (DDoS) attacks or large-scale spam campaigns.
Authentication logs are a vital source of information for detecting lateral movement. Signs such as repeated failed logins, successful logins from unusual locations, or unexpected access during odd hours can indicate malicious activity. Regularly reviewing these logs helps identify unauthorized access attempts.
Security Information and Event Management (SIEM) systems aggregate log data from across the network, providing a centralized platform for analysis. These systems use advanced analytics to detect patterns that may indicate lateral movement, such as privilege escalation or anomalous access attempts.
Endpoint Detection and Response (EDR) tools monitor activity on individual devices, identifying suspicious behavior in real-time. For example, if an endpoint starts executing administrative commands without prior authorization, EDR solutions can alert security teams and provide the necessary context for investigation.
Network Traffic Analysis (NTA) tools help identify irregular data flows within the network. For example, unexpected file transfers between unrelated systems or excessive data uploads to external destinations are strong indicators of lateral movement.
By creating baselines for normal activity, organizations can more easily identify anomalies. For instance, a sudden spike in PowerShell usage on a system that rarely uses it could indicate an attacker's presence. Baseline monitoring requires consistent logging and analysis to remain effective.
Dividing networks into isolated segments limits attackers’ ability to move freely between systems. For example, separating critical infrastructure from general-purpose devices ensures that even if an attacker compromises one segment, their impact is contained.
Zero-trust principles require strict verification for every request, regardless of whether it originates inside or outside the network. This approach minimizes reliance on perimeter defenses and enforces granular access controls.
MFA adds an extra layer of security to user authentication, making it harder for attackers to misuse stolen credentials. By requiring users to verify their identity through multiple factors, organizations reduce the effectiveness of credential theft.
Unpatched vulnerabilities provide easy entry points for attackers. Maintaining a consistent patching schedule ensures that systems are protected against known exploits, reducing the risk of lateral movement.
Applying the principle of least privilege restricts user access to only what is necessary for their roles. This limits attackers' ability to escalate privileges or access sensitive data if they compromise an account.
Educating employees about phishing attempts and social engineering tactics helps reduce the risk of initial compromise. Regular training sessions ensure that staff are aware of emerging threats and understand best practices for maintaining security.
Enterprises consider advanced persistent threats (APTs) to be high priority threats due to the risks they pose against confidential data
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