From 805b19e65d169934035dc0a951294fbd65fc57d3 Mon Sep 17 00:00:00 2001 From: th3r3d Date: Fri, 16 Aug 2024 14:48:57 +0200 Subject: [PATCH 1/2] Created taxo for MITRE Engage Created taxo for MITRE Engage --- Engage/machinetag.json | 89 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 89 insertions(+) create mode 100644 Engage/machinetag.json diff --git a/Engage/machinetag.json b/Engage/machinetag.json new file mode 100644 index 0000000..3d1a5e3 --- /dev/null +++ b/Engage/machinetag.json @@ -0,0 +1,89 @@ +{ + "name": "Engage", + "description": "MITRE Engage Framework Taxonomy: A structured approach to influence and understand adversary behavior through proactive defense strategies.", + "version": 1, + "author": "DCG420", + "values": [ + { + "value": "approach", + "expanded": "Engage Approach", + "description": "The overarching strategies used in the Engage framework to influence adversary behavior and enhance defense postures.", + "children": [ + { + "value": "engage_defend", + "expanded": "Engage Defend", + "description": "Strategies and tactics focused on reinforcing the security posture to make it harder for adversaries to achieve their objectives. This includes hardening defenses, improving access controls, and deploying advanced threat detection systems. Example: Implementing multi-factor authentication across critical systems to prevent unauthorized access." + }, + { + "value": "engage_disrupt", + "expanded": "Engage Disrupt", + "description": "Actions aimed at interrupting or hindering adversary activities. This might involve disrupting communication channels, corrupting adversary data, or creating uncertainty in their operational environment. Example: Injecting false data into adversary's command and control (C2) channels to cause operational confusion." + }, + { + "value": "engage_detect", + "expanded": "Engage Detect", + "description": "Methods to improve the visibility and detection of adversary actions within the network. This includes deploying sensors, enhancing monitoring, and using behavioral analytics to detect unusual activities. Example: Utilizing machine learning models to detect deviations from normal user behavior indicating potential insider threats." + }, + { + "value": "engage_deceive", + "expanded": "Engage Deceive", + "description": "Techniques designed to mislead, confuse, or provide false information to adversaries, causing them to make poor decisions. This may include honeypots, decoy systems, or false narratives. Example: Deploying decoy systems that mimic critical infrastructure to lure attackers away from real assets." + } + ] + }, + { + "value": "goals", + "expanded": "Engage Goals", + "description": "The desired outcomes of employing Engage approaches, focused on reducing risks, understanding adversaries, and protecting assets.", + "children": [ + { + "value": "reduce_risk", + "expanded": "Reduce Risk", + "description": "Minimize the likelihood and impact of successful adversary actions by proactively managing vulnerabilities and threats. Example: Regularly updating and patching software to close known vulnerabilities that adversaries could exploit." + }, + { + "value": "increase_cost", + "expanded": "Increase Adversary's Cost", + "description": "Raise the resources (time, money, effort) adversaries must expend to achieve their objectives, thereby deterring attacks. Example: Implementing layered defenses that require adversaries to breach multiple barriers, increasing their operational complexity and cost." + }, + { + "value": "reduce_impact", + "expanded": "Reduce Impact", + "description": "Limit the damage or disruption caused by successful adversary actions through resilient design and rapid response. Example: Designing critical systems with redundancy to ensure continuous operation even if one component is compromised." + }, + { + "value": "understand_adversary", + "expanded": "Understand Adversary", + "description": "Gain insights into the tactics, techniques, procedures (TTPs), and motivations of adversaries to inform better defense strategies. Example: Analyzing threat intelligence reports to identify patterns in adversary behavior and anticipate future attacks." + } + ] + }, + { + "value": "actions", + "expanded": "Engage Actions", + "description": "Specific activities undertaken to implement the Engage approaches, aimed at countering or exploiting adversary actions.", + "children": [ + { + "value": "introduce_noise", + "expanded": "Introduce Noise", + "description": "Add misleading or irrelevant information into adversary operations to degrade their decision-making and operational efficiency. Example: Inserting fake credentials into the environment that adversaries might use, leading them to incorrect conclusions." + }, + { + "value": "control_information", + "expanded": "Control Information", + "description": "Manage and manipulate the information that adversaries can access, shaping their perception and actions. Example: Using data masking techniques to protect sensitive information while allowing adversaries to access less critical data." + }, + { + "value": "isolate_adversary", + "expanded": "Isolate Adversary", + "description": "Limit the adversary's ability to move laterally within the network or communicate with external command centers. Example: Segmenting networks to prevent adversaries from easily navigating between different systems and isolating compromised assets." + }, + { + "value": "monitor_adversary", + "expanded": "Monitor Adversary", + "description": "Continuously observe adversary activities to gather intelligence and adapt defense strategies. Example: Using honeynets to attract adversaries and study their techniques in a controlled environment." + } + ] + } + ] +} From 8c59781e4a5e490c7ff53c00ab80064dac0a1f74 Mon Sep 17 00:00:00 2001 From: th3r3d Date: Fri, 16 Aug 2024 15:24:15 +0200 Subject: [PATCH 2/2] Update GrayZone to version 3.1 Update GrayZone to version 3.1 --- GrayZone/machinetag.json | 74 ++++++++++++++++++++++------------------ 1 file changed, 40 insertions(+), 34 deletions(-) diff --git a/GrayZone/machinetag.json b/GrayZone/machinetag.json index 7fc0c56..ca03995 100644 --- a/GrayZone/machinetag.json +++ b/GrayZone/machinetag.json @@ -1,7 +1,7 @@ { "namespace": "GrayZone", "description": "Gray Zone of Active defense includes all elements which lay between reactive defense elements and offensive operations. It does fill the gray spot between them. Taxo may be used for active defense planning or modeling.", - "version": 3, + "version": 3.1, "predicates": [ { "value": "Adversary Emulation", @@ -24,12 +24,8 @@ "expanded": "Tarpits, Sandboxes and Honeypots" }, { - "value": "Threat Intelligence", - "expanded": "Threat Intelligence" - }, - { - "value": "Threat Hunting", - "expanded": "Threat Hunting" + "value": "Intelligence and Counterintelligence", + "expanded": "Intelligence and Counterintelligence" }, { "value": "Adversary Takedowns", @@ -126,11 +122,6 @@ "value": "CounterDeception", "expanded": "Answer to deception", "description": "Answer to deception from adversary is counter-deception, for example: answer to phish with shadow user account to uncover next adversary actions" - }, - { - "value": "Counter-Deception", - "expanded": "Active counterdeception", - "description": "Answer to adversary deception and his tactical goals, example: if You know the adversary goal(extraction) You can plant documents with fake content to enable damage on adversary sources (fake blueprints of engine, which explode on purpose)" } ] }, @@ -155,37 +146,52 @@ ] }, { - "predicate": "Threat Intelligence", + "predicate": "Intelligence and Counterintelligence", "entry": [ { - "value": "Passive - OSINT", - "expanded": "OpenSourceINTelligence", - "description": "Use of OSINT for creating of Threat Intelligence" + "value": "Intel Passive", + "expanded": "Passive gathering, managing etc. of threat intelligence. Ie. getting data from public, available resources", + "description": "Getting threat intel from open and publicly available resources" }, { - "value": "Passive - platforms", - "expanded": "Platforms for TI", - "description": "Save, share and collaborate on threat intelligence platforms" + "value": "Intel Active", + "expanded": "Active or proactive intel gathering, collecting etc. Ie. closed resources as private forums, gossip ...", + "description": "Getting threat intel from closed resources or trusted parties as private chats or exploitation of groups etc." }, { - "value": "Counter-Intelligence public", - "expanded": "Counter Intelligence", - "description": "Active retrieval of Threat Intelligence for purpose of defense collected with available public resources - example: active monitoring of web services to uncover action before happen (forum hacktivist group)" + "value": "Counterintel Defensive", + "expanded": "Includes subcategories as Deterrence and Detection ", + "description": "Focuses on detecting and neutralizing adversary efforts to compromise or exploit digital systems." }, { - "value": "Counter-Intelligence government", - "expanded": "Counter Intelligence", - "description": "Active retrieval of Threat Intelligence for purpose of defense collected with non-public resources - example: cooperation between secret services in EU" - } - ] - }, - { - "predicate": "Threat Hunting", - "entry": [ + "value": "Counterintel Defensive - Deterrence", + "expanded": "Deterrende in cyber space as part of strategy", + "description": "Aims to discourage adversary actions by demonstrating strong protective measures and potential consequences." + }, + { + "value": "Counterintel Defensive - Detection", + "expanded": "Detection Engineering", + "description": "Ideally focuses on identifying and exposing adversary activities before they can cause harm." + }, + { + "value": "Counterintel Offensive", + "expanded": "Includes subcategories as Detection, Deception and Neutralization", + "description": "Involves actively disrupting or deceiving adversary intelligence operations to gain strategic advantage" + }, + { + "value": "Counterintel Offensive - Detection", + "expanded": "Detect operations of adversary before they reach friendly environment", + "description": "Detection involves actively identifying and exposing adversary cyber operations to disrupt their efforts." + }, + { + "value": "Counterintel Offensive - Deception", + "expanded": "Creating deception campaigns, fake accounts, penetrating adversary communication with use of deception...", + "description": "Uses false information and tactics to mislead and confuse adversaries in their cyber operations." + }, { - "value": "Threat Hunting", - "expanded": "Threat Hunting", - "description": "Threat Hunting is the activity of active search for possible signs of adversary in environment" + "value": "Counterintel Offensive - Neutralization", + "expanded": "Adversary disruption as influence operation, environment disturbance to prevent adversary operations...", + "description": "Neutralization aims to disrupt and eliminate adversary cyber threats before they can inflict damage." } ] },