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#OSK EXE SOURCE CODE CODE#

Document consistent parent process, process command line arguments, privilege characteristics, and process ancestry.

Understand normal execution flow: Manually execute each accessibility feature, recording normal process lineage, attributes, and execution flow.

It can help to adopt a structured approach to researching this state: It begins with a little focused research. Figure 4 depicts an EQL rule demonstrating one example that detects accessibility features using IFEO.įigure 4: T1015 - IFEO creation state EQL exampleĪt the time of creation, that kind of EQL logic will help to detect the technique, but what if the configuration happened weeks or months ago? A different kind of EQL expression is better suited for detecting the technique in a runtime state. This technique is also effective for other accessibility features depicted in Figure 3.įigure 3: Accessibility features processesĮQL is a language we can use to broadly describe creation-state detection events for any technique. As shown in Figure 2, cmd.exe will be executed every time the on-screen keyboard ( osk.exe) is invoked, providing the attacker a system shell backdoor.įigure 2: Depiction of image file execution options debugger abuse (2)Īt the time of creation, while configuring the Debugger value, detection primarily consists of monitoring a filtered subset of the registry for new references to accessibility features (e.g., osk.exe for the On-Screen Keyboard) and the registry value name Debugger. Image File Execution Options (IFEO) are used for debugging legitimate applications, and can be abused by an attacker with at least local administrator privileges to execute a malicious program (instead of a legitimate one) via the Debugger setting.

Suppose an attacker has already enabled a backdoor to execute using this technique (via Image File Execution Options - Debugger registry value) months or weeks before you’ve implemented a detection for it.įigure 1: Depiction of image file execution options debugger abuse (1) To make this concept clearer, let's explore an example of designing detection logic in the Persistence tactic category using T1015 - Accessibility Features.

#OSK EXE SOURCE CODE CODE#

The practical application of this concept is most effective for detecting techniques in tactic categories that focus on predictable outcomes such as persistence, defense evasion (e.g., abnormal memory type and protection for code injection), and command and control (unusual process network traffic). The required telemetry, data, and logic for one technique may be different for each state and require enabling new telemetry or changing existing configurations.There will be detection gaps for techniques used by attackers who are diligent at tidying up their presence, as security operations tend to focus on detecting techniques in the earliest stages of an intrusion.It’s likely you’re dealing with creation-state detection logic built for these TTPs, meaning you’re only finding this behavior after the fact. There will be detection gaps for known tactics, techniques, and procedures (TTPs) at execution.Many organizations tasked with creating detection logic focus on a given event creation state, though the following limitations are often overlooked. Cleanup state : A special kind of runtime state related to detecting active and passive methods of covering tracks (files, registry deletion, and process termination are examples of needed telemetry e.g., delete startup entry).Runtime state : Related to detecting suspicious or critical activity at the moment of execution, which may be the result of an automated process (e.g., after a program was added to the HKLM RunOnce key, it will be executed as a child process of RunOnce.exe at system startup).Creation state: Related to detecting suspicious or critical activity at the time of configuration or preparation (e.g., creation or modification of a new Run key registry value to detect new persistent programs).The following three states illustrate one operations-focused approach: Few consider that the state of a technique may influence visibility. The quickest way to get started may not always be the best, and new analysts tend to jump right into the post-exploitation details, mapping available data sources and logic fragments. In this blog post, we will share a concept we call stateful detection and explain why it's important for detection. In this series, we’ll share some of the foundational concepts that we’ve discovered over time to deliver resilient detection logic.

Detection engineering at Elastic is both a set of reliable principles - or methodologies - and a collection of effective tools.