LDAP is a widely used protocol for managing users, devices, and services within a corporate environment. It's an important part of identity and access management, but can also be an avenue for attackers to conduct reconnaissance, escalate privileges, and exfiltrate data.
The Lightweight Directory Access Protocol (LDAP) query is a command that requests information from a directory service. It allows applications to quickly access and maintain data on services such as Active Directory, and is commonly used by organizations to manage user accounts, devices, and access control. It’s also a technique used by attackers to retrieve user credentials and other sensitive data.
An LDAP attack happens when an attacker injects malicious code into an LDAP query. Like SQL injections, it exploits the absence of proper input validation and allows the attacker to manipulate the query by adding special characters to alter its logic. As result, the attacker can:
Information gathered during LDAP queries often aids attackers in planning and launching more sophisticated tactics. In extreme cases, an attacker seeks to gain full control over directory services, resulting in widespread access to network resources and systems.
Attackers target LDAP directories because they often contain sensitive information about user accounts and network structure. LDAP queries are used in the early stages of an attack as a way to gather details on users, groups, computers and other objects within a directory service.
The most important step security teams can take to stop malicious LDAP search queries is threat detection and response. However, several prevention measures can help mitigate the threat of LDAP-based threats. These include:
Once an attacker gains access to the network, you have minutes to detect and respond to threats before they result in a full-blown breach. The key is to analyze LDAP traffic in real time, allowing security analysts to identify and address Active Directory threats rapidly.
One way to do this is by monitoring and logging LDAP traffic. Regularly collect and analyze LDAP logs for unusual patterns. Some organizations rely on SIEMs to flag suspicious queries based on predefined rules.
However, a more effective method is to leverage AI-driven behavioral analytics to detect suspicious LDAP queries. The Vectra AI Platform does this by building a baseline of normal LDAP activity, which it can then use to flag deviations that indicate potential malicious activity.