Dnv — Phast Tutorial Updated

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Dnv — Phast Tutorial Updated

DNV PHAST is a software tool used for process hazard analysis, which is a critical step in identifying potential hazards associated with industrial processes. The software helps to identify, evaluate, and mitigate hazards related to process operations, including toxic and flammable releases, fires, and explosions.

DNV PHAST is a powerful software tool for process hazard analysis. By following this tutorial, users can learn how to use DNV PHAST to identify potential hazards, evaluate consequences, and implement mitigation measures. By applying the steps outlined in this tutorial, users can ensure a safe and reliable process operation. dnv phast tutorial updated

DNV PHAST (Process Hazard Analysis Software Tool) is a widely used software for process hazard analysis in the oil and gas, chemical, and petrochemical industries. This tutorial provides an updated guide on how to use DNV PHAST for conducting process hazard analysis, identifying potential hazards, and implementing mitigation measures. DNV PHAST is a software tool used for

Description:	Adversaries may abuse command and script interpreters to execute commands, scripts, or binaries. These interfaces and languages provide ways of interacting with computer systems and are a common feature across many different platforms. Most systems come with some built-in command-line interface and scripting capabilities, for example, macOS and Linux distributions include some flavor of Unix Shell while Windows installations include the Windows Command Shell and PowerShell .
Tactics:	Execution
Data Sources:	PowerShell logs, Process command-line parameters, Process monitoring, Windows event logs
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may abuse the Windows service control manager to execute malicious commands or payloads. The Windows service control manager ( `services.exe` ) is an interface to manage and manipulate services.The service control manager is accessible to users via GUI components as well as system utilities such as `sc.exe` and Net .
Tactics:	Execution
Data Sources:	Process command-line parameters, Process monitoring, Windows Registry
Platforms:	Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may directly interact with the native OS application programming interface (API) to execute behaviors. Native APIs provide a controlled means of calling low-level OS services within the kernel, such as those involving hardware/devices, memory, and processes.These native APIs are leveraged by the OS during system boot (when other system components are not yet initialized) as well as carrying out tasks and requests during routine operations.
Tactics:	Execution
Data Sources:	API monitoring, Loaded DLLs, Process monitoring, System calls
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may create or modify Windows services to repeatedly execute malicious payloads as part of persistence. When Windows boots up, it starts programs or applications called services that perform background system functions.Windows service configuration information, including the file path to the service's executable or recovery programs/commands, is stored in the Windows Registry. Service configurations can be modified using utilities such as sc.exe and Reg .
Tactics:	Persistence, Privilege Escalation
Data Sources:	API monitoring, File monitoring, Process command-line parameters, Process monitoring, Windows Registry, Windows event logs
Platforms:	Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may modify access tokens to operate under a different user or system security context to perform actions and bypass access controls. Windows uses access tokens to determine the ownership of a running process. A user can manipulate access tokens to make a running process appear as though it is the child of a different process or belongs to someone other than the user that started the process. When this occurs, the process also takes on the security context associated with the new token.
Tactics:	Defense Evasion, Privilege Escalation
Data Sources:	API monitoring, Access tokens, Authentication logs, Process command-line parameters, Process monitoring, Windows event logs
Platforms:	Windows
Url:	Open detailed description by Mitre

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Dnv — Phast Tutorial Updated

Description:	Adversaries may inject code into processes in order to evade process-based defenses as well as possibly elevate privileges. Process injection is a method of executing arbitrary code in the address space of a separate live process. Running code in the context of another process may allow access to the process's memory, system/network resources, and possibly elevated privileges. Execution via process injection may also evade detection from security products since the execution is masked under a legitimate process.
Tactics:	Defense Evasion, Privilege Escalation
Data Sources:	API monitoring, DLL monitoring, File monitoring, Named Pipes, Process monitoring
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may attempt to manipulate features of their artifacts to make them appear legitimate or benign to users and/or security tools. Masquerading occurs when the name or location of an object, legitimate or malicious, is manipulated or abused for the sake of evading defenses and observation. This may include manipulating file metadata, tricking users into misidentifying the file type, and giving legitimate task or service names.
Tactics:	Defense Evasion
Data Sources:	Binary file metadata, File monitoring, Process command-line parameters, Process monitoring
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may employ various means to detect and avoid virtualization and analysis environments. This may include changing behaviors based on the results of checks for the presence of artifacts indicative of a virtual machine environment (VME) or sandbox. If the adversary detects a VME, they may alter their malware to disengage from the victim or conceal the core functions of the implant. They may also search for VME artifacts before dropping secondary or additional payloads. Adversaries may use the information learned from [Virtualization/Sandbox Evasion](https://attack.mitre.org/techniques/T1497) during automated discovery to shape follow-on behaviors.
Tactics:	Defense Evasion, Discovery
Data Sources:	Process command-line parameters, Process monitoring
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may use Obfuscated Files or Information to hide artifacts of an intrusion from analysis. They may require separate mechanisms to decode or deobfuscate that information depending on how they intend to use it. Methods for doing that include built-in functionality of malware or by using utilities present on the system.
Tactics:	Defense Evasion
Data Sources:	File monitoring, Process command-line parameters, Process monitoring
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may attempt to make an executable or file difficult to discover or analyze by encrypting, encoding, or otherwise obfuscating its contents on the system or in transit. This is common behavior that can be used across different platforms and the network to evade defenses.
Tactics:	Defense Evasion
Data Sources:	Binary file metadata, Email gateway, Environment variable, File monitoring, Malware reverse engineering, Network intrusion detection system, Network protocol analysis, Process command-line parameters, Process monitoring, Process use of network, SSL/TLS inspection, Windows event logs
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may perform software packing or virtual machine software protection to conceal their code. Software packing is a method of compressing or encrypting an executable. Packing an executable changes the file signature in an attempt to avoid signature-based detection. Most decompression techniques decompress the executable code in memory. Virtual machine software protection translates an executable's original code into a special format that only a special virtual machine can run. A virtual machine is then called to run this code.
Tactics:	Defense Evasion
Data Sources:	Binary file metadata
Platforms:	macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may use methods of capturing user input to obtain credentials or collect information. During normal system usage, users often provide credentials to various different locations, such as login pages/portals or system dialog boxes. Input capture mechanisms may be transparent to the user (e.g. Credential API Hooking ) or rely on deceiving the user into providing input into what they believe to be a genuine service (e.g. Web Portal Capture ).
Tactics:	Collection, Credential Access
Data Sources:	API monitoring, Binary file metadata, DLL monitoring, Kernel drivers, Loaded DLLs, PowerShell logs, Process command-line parameters, Process monitoring, User interface, Windows Registry, Windows event logs
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	An adversary may gather the system time and/or time zone from a local or remote system. The system time is set and stored by the Windows Time Service within a domain to maintain time synchronization between systems and services in an enterprise network.
Tactics:	Discovery
Data Sources:	API monitoring, Process command-line parameters, Process monitoring
Platforms:	Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may attempt to get a listing of security software, configurations, defensive tools, and sensors that are installed on a system or in a cloud environment. This may include things such as firewall rules and anti-virus. Adversaries may use the information from Security Software Discovery during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
Tactics:	Discovery
Data Sources:	AWS CloudTrail logs, Azure activity logs, File monitoring, Process command-line parameters, Process monitoring, Stackdriver logs
Platforms:	AWS, Azure, Azure AD, GCP, Linux, macOS, Office 365, SaaS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may attempt to get information about running processes on a system. Information obtained could be used to gain an understanding of common software/applications running on systems within the network. Adversaries may use the information from Process Discovery during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
Tactics:	Discovery
Data Sources:	API monitoring, Process command-line parameters, Process monitoring
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may attempt to identify the primary user, currently logged in user, set of users that commonly uses a system, or whether a user is actively using the system. They may do this, for example, by retrieving account usernames or by using OS Credential Dumping . The information may be collected in a number of different ways using other Discovery techniques, because user and username details are prevalent throughout a system and include running process ownership, file/directory ownership, session information, and system logs. Adversaries may use the information from [System Owner/User Discovery](https://attack.mitre.org/techniques/T1033) during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
Tactics:	Discovery
Data Sources:	File monitoring, Process command-line parameters, Process monitoring
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may enumerate files and directories or may search in specific locations of a host or network share for certain information within a file system. Adversaries may use the information from File and Directory Discovery during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
Tactics:	Discovery
Data Sources:	File monitoring, Process command-line parameters, Process monitoring
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	An adversary may attempt to get detailed information about the operating system and hardware, including version, patches, hotfixes, service packs, and architecture. Adversaries may use the information from System Information Discovery during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
Tactics:	Discovery
Data Sources:	AWS CloudTrail logs, Azure activity logs, Process command-line parameters, Process monitoring, Stackdriver logs
Platforms:	AWS, Azure, GCP, Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may attempt to take screen captures of the desktop to gather information over the course of an operation. Screen capturing functionality may be included as a feature of a remote access tool used in post-compromise operations. Taking a screenshot is also typically possible through native utilities or API calls, such as `CopyFromScreen` , `xwd` , or `screencapture` .
Tactics:	Collection
Data Sources:	API monitoring, File monitoring, Process monitoring
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	An adversary may compress and/or encrypt data that is collected prior to exfiltration. Compressing the data can help to obfuscate the collected data and minimize the amount of data sent over the network. Encryption can be used to hide information that is being exfiltrated from detection or make exfiltration less conspicuous upon inspection by a defender.
Tactics:	Collection
Data Sources:	Binary file metadata, File monitoring, Process command-line parameters, Process monitoring
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre

Description:	Adversaries may employ a known encryption algorithm to conceal command and control traffic rather than relying on any inherent protections provided by a communication protocol. Despite the use of a secure algorithm, these implementations may be vulnerable to reverse engineering if secret keys are encoded and/or generated within malware samples/configuration files.
Tactics:	Command and Control
Data Sources:	Malware reverse engineering, Netflow/Enclave netflow, Packet capture, Process monitoring, Process use of network, SSL/TLS inspection
Platforms:	Linux, macOS, Windows
Url:	Open detailed description by Mitre