The adversary is trying to gather data of interest and domain knowledge on your ICS environment to inform their goal.
Collection consists of techniques adversaries use to gather domain knowledge and obtain contextual feedback in an ICS environment. This tactic is often performed as part of Discovery, to compile data on control systems and targets of interest that may be used to follow through on the adversary’s objective. Examples of these techniques include observing operation states, capturing screenshots, identifying unique device roles, and gathering system and diagram schematics. Collection of this data can play a key role in planning, executing, and even revising an ICS-targeted attack. Methods of collection depend on the categories of data being targeted, which can include protocol specific, device specific, and process specific configurations and functionality. Information collected may pertain to a combination of system, supervisory, device, and network related data, which conceptually fall under high, medium, and low levels of plan operations. For example, information repositories on plant data at a high level or device specific programs at a low level. Sensitive floor plans, vendor device manuals, and other references may also be at risk and exposed on the internet or otherwise publicly accessible.
Sottokwistjonijiet
| Titlu | Deskrizzjoni |
|---|---|
| Wireless Sniffing | Adversaries may seek to capture radio frequency (RF) communication used for remote control and reporting in distributed environments. RF communication frequencies vary between 3 kHz to 300 GHz, although are commonly between 300 MHz to 6 GHz.[1] The wavelength and frequency of the signal affect how the signal propagates through open air, obstacles (e.g. walls and trees) and the type of radio required to capture them. These characteristics are often standardized in the protocol and hardware and may have an effect on how the signal is captured. Some examples of wireless protocols that may be found in cyber-physical environments are: WirelessHART, Zigbee, WIA-FA, and 700 MHz Public Safety Spectrum. Adversaries may capture RF communications by using specialized hardware, such as software defined radio (SDR), handheld radio, or a computer with radio demodulator tuned to the communication frequency.[2] Information transmitted over a wireless medium may be captured in-transit whether the sniffing device is the intended destination or not. This technique may be particularly useful to an adversary when the communications are not encrypted.[3] In the 2017 Dallas Siren incident, it is suspected that adversaries likely captured wireless command message broadcasts on a 700 MHz frequency during a regular test of the system. These messages were later replayed to trigger the alarm systems.[3] References
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| Role Identification | Adversaries may perform role identification of devices involved with physical processes of interest in a target control system. Control systems devices often work in concert to control a physical process. Each device can have one or more roles that it performs within that control process. By collecting this role-based data, an adversary can construct a more targeted attack. For example, a power generation plant may have unique devices such as one that monitors power output of a generator and another that controls the speed of a turbine. Examining devices roles allows the adversary to observe how the two devices work together to monitor and control a physical process. Understanding the role of a target device can inform the adversary's decision on what action to take, in order to cause Impact and influence or disrupt the integrity of operations. Furthermore, an adversary may be able to capture control system protocol traffic. By studying this traffic, the adversary may be able to determine which devices are outstations, and which are masters. Understanding of master devices and their role within control processes can enable the use of Rogue Master Device |
| Point & Tag Identification | Adversaries may collect point and tag values to gain a more comprehensive understanding of the process environment. Points may be values such as inputs, memory locations, outputs or other process specific variables.[1] Tags are the identifiers given to points for operator convenience. Collecting such tags provides valuable context to environmental points and enables an adversary to map inputs, outputs, and other values to their control processes. Understanding the points being collected may inform an adversary on which processes and values to keep track of over the course of an operation. References |
| Detect Operating Mode | Adversaries may gather information about a PLCs or controllers current operating mode. Operating modes dictate what change or maintenance functions can be manipulated and are often controlled by a key switch on the PLC (e.g., run, prog [program], and remote). Knowledge of these states may be valuable to an adversary to determine if they are able to reprogram the PLC. Operating modes and the mechanisms by which they are selected often vary by vendor and product line. Some commonly implemented operating modes are described below:
References
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| Monitor Process State | Adversaries may gather information about the physical process state. This information may be used to gain more information about the process itself or used as a trigger for malicious actions. The sources of process state information may vary such as, OPC tags, historian data, specific PLC block information, or network traffic. |
| Program Upload | Adversaries may attempt to upload a program from a PLC to gather information about an industrial process. Uploading a program may allow them to acquire and study the underlying logic. Methods of program upload include vendor software, which enables the user to upload and read a program running on a PLC. This software can be used to upload the target program to a workstation, jump box, or an interfacing device. |
| Data from Information Repositories | Adversaries may target and collect data from information repositories. This can include sensitive data such as specifications, schematics, or diagrams of control system layouts, devices, and processes. Examples of information repositories include reference databases in the process environment, as well as databases in the corporate network that might contain information about the ICS.[1] Information collected from these systems may provide the adversary with a better understanding of the operational environment, vendors used, processes, or procedures of the ICS. In a campaign between 2011 and 2013 against ONG organizations, Chinese state-sponsored actors searched document repositories for specific information such as, system manuals, remote terminal unit (RTU) sites, personnel lists, documents that included the string SCAD*, user credentials, and remote dial-up access information.[2] References
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| Automated Collection | Adversaries may automate collection of industrial environment information using tools or scripts. This automated collection may leverage native control protocols and tools available in the control systems environment. For example, the OPC protocol may be used to enumerate and gather information. Access to a system or interface with these native protocols may allow collection and enumeration of other attached, communicating servers and devices. |
| I/O Image | Adversaries may seek to capture process values related to the inputs and outputs of a PLC. During the scan cycle, a PLC reads the status of all inputs and stores them in an image table.[1] The image table is the PLCs internal storage location where values of inputs/outputs for one scan are stored while it executes the user program. After the PLC has solved the entire logic program, it updates the output image table. The contents of this output image table are written to the corresponding output points in I/O Modules. The Input and Output Image tables described above make up the I/O Image on a PLC. This image is used by the user program instead of directly interacting with physical I/O.[2] Adversaries may collect the I/O Image state of a PLC by utilizing a devices Native API to access the memory regions directly. The collection of the PLCs I/O state could be used to replace values or inform future stages of an attack. References |
| Location Identification | Adversaries may perform location identification using device data to inform operations and targeted impact for attacks. Location identification data can come in a number of forms, including geographic location, location relative to other control system devices, time zone, and current time. An adversary may use an embedded global positioning system (GPS) module in a device to figure out the physical coordinates of a device. NIST SP800-82 recommends that devices utilize GPS or another location determining mechanism to attach appropriate timestamps to log entries[1]. While this assists in logging and event tracking, an adversary could use the underlying positioning mechanism to determine the general location of a device. An adversary can also infer the physical location of serially connected devices by using serial connection enumeration. An adversary attempt to attack and cause Impact could potentially affect other control system devices in close proximity. Device local-time and time-zone settings can also provide adversaries a rough indicator of device location, when specific geographic identifiers cannot be determined from the system. References |
| Detect Program State | Adversaries may seek to gather information about the current state of a program on a PLC. State information reveals information about the program, including whether it's running, halted, stopped, or has generated an exception. This information may be leveraged as a verification of malicious program execution or to determine if a PLC is ready to download a new program. |
| Adversary-in-the-Middle | Adversaries with privileged network access may seek to modify network traffic in real time using adversary-in-the-middle (AiTM) attacks.[1] This type of attack allows the adversary to intercept traffic to and/or from a particular device on the network. If a AiTM attack is established, then the adversary has the ability to block, log, modify, or inject traffic into the communication stream. There are several ways to accomplish this attack, but some of the most-common are Address Resolution Protocol (ARP) poisoning and the use of a proxy.[2] An AiTM attack may allow an adversary to perform the following attacks: References |
| Screen Capture | Adversaries may attempt to perform screen capture of devices in the control system environment. Screenshots may be taken of workstations, HMIs, or other devices that display environment-relevant process, device, reporting, alarm, or related data. These device displays may reveal information regarding the ICS process, layout, control, and related schematics. In particular, an HMI can provide a lot of important industrial process information.[1] Analysis of screen captures may provide the adversary with an understanding of intended operations and interactions between critical devices. References |
| Data from Local System | Adversaries may target and collect data from local system sources, such as file systems, configuration files, or local databases. This can include sensitive data such as specifications, schematics, or diagrams of control system layouts, devices, and processes. Adversaries may do this using Command-Line Interface or Scripting techniques to interact with the file system to gather information. Adversaries may also use Automated Collection on the local system. |
Kwistjonijiet marbuta
| Tip ta’ link | Kwistjoni |
|---|---|
| is related to | Tactics |
| is part of | ICS ATT&CK |
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