LOLBAS Feed

"Living off the land binaries" is a term used to describe malware or hacking techniques that take advantage of legitimate tools and processes that are already present on a computer or network, rather than introducing new malware or malicious code. The goal is to blend in with normal activity and avoid detection. Examples of this include using built-in Windows commands to move laterally through a network, or using scripting languages that are commonly installed on a system to execute malicious code. LOLBAS project is documenting binaries, scripts, and libraries that can be used for Living Off The Land techniques.

This playbook searches for LOLBAS tools by their name, and returns the tool command from LOLBAS.

This playbook takes a process name and determines its presence in the LOLBAS repository. It then proceeds to compare the incident command line against known patterns of malicious commands listed in TIM by using LOLBAS feed integration. The playbook outputs results when the similarity between the analyzed command line and the malicious patterns is greater than or equal to the preconfigured StringSimilarity threshold. The playbook offers the flexibility to adjust this threshold through the use of the dedicated playbook input, 'StringSimilarityThreshold'.

"Living off the land binaries" is a term used to describe malware or hacking techniques that take advantage of legitimate tools and processes that are already present on a computer or network, rather than introducing new malware or malicious code. The goal is to blend in with normal activity and avoid detection. Examples of this include using built-in Windows commands to move laterally through a network, or using scripting languages that are commonly installed on a system to execute malicious code. LOLBAS project is documenting binaries, scripts, and libraries that can be used for Living Off The Land techniques.

This playbook searches for LOLBAS tools by their name, and returns the tool command from LOLBAS.

This playbook takes a process name and determines its presence in the LOLBAS repository. It then proceeds to compare the incident command line against known patterns of malicious commands listed in TIM by using LOLBAS feed integration. The playbook outputs results when the similarity between the analyzed command line and the malicious patterns is greater than or equal to the preconfigured StringSimilarity threshold. The playbook offers the flexibility to adjust this threshold through the use of the dedicated playbook input, 'StringSimilarityThreshold'.