Deploy capabilities that detect, block, and mitigate conditions indicative of software exploits. These capabilities aim to prevent exploitation by addressing vulnerabilities, monitoring anomalous behaviors, and applying exploit-mitigation techniques to harden systems and software. Operating System Exploit Protections: - Use Case: Enable built-in exploit protection features provided by modern operating systems, such as Microsoft's Exploit Protection, which includes techniques like Data Execution Prevention (DEP), Address Space Layout Randomization (ASLR), and Control Flow Guard (CFG). - Implementation: Enforce DEP for all programs and enable ASLR to randomize memory addresses used by system and application processes. Windows: Configure Exploit Protection through the Windows Security app or deploy settings via Group Policy. `ExploitProtectionExportSettings.exe -path "exploit_settings.xml"…
MITRE mitigation sourceAdversaryGraph public intelligence page
This page is part of Threat Matrix, the public browser workspace for the main AdversaryGraph platform. Use it for ATT&CK pivots, actor and technique context, similarity leads, detection coverage review, and analyst-ready investigation paths.
Validation disclaimer: TTP overlap, actor similarity, generated summaries, and coverage findings are investigation leads, not attribution proof or operational validation without analyst review.
Main AdversaryGraph project Documentation Malware Analysis GitHub
Exploitation for Defense Evasion
Adversaries may exploit a system or application vulnerability to bypass security features. Exploitation of a vulnerability occurs when an adversary takes advantage of a programming error in a program, service, or within the operating system software or kernel itself to execute adversary-controlled code. Vulnerabilities may exist in defensive security software that can be used to disable or circumvent them. Adversaries may have prior knowledge through reconnaissance that security software exists within an environment or they may perform checks during or shortly after the system is compromised for Security Software Discovery. The security software will likely be targeted directly for exploitation. There are examples of antivirus software being targeted by persistent threat groups to avoid detection. There have also been examples of vulnerabilities in public cloud infrastructure of SaaS applications that may bypass defense boundaries , evade security logs , or deploy hidden infrastructure.
Open detection, hunting, mitigation, and evidence workspace
Detection logic
Exploitation for defense evasion may happen shortly after the system has been compromised to prevent detection during later actions for for additional tools that may be brought in and used. Detecting software exploitation may be difficult depending on the tools available. Software exploits may not always succeed or may cause the exploited process to become unstable or crash. Also look for behavior on the system that might indicate successful compromise, such as abnormal behavior of processes. This could include suspicious files written to disk, evidence of Process Injection for attempts to hide execution or evidence of Discovery.
Observed actors
Correlated CTI and IR reports
Cyber Knowledge context
Use these routes to move from the ATT&CK behavior into explanation, implementation, evidence handling, validation, and defensive operations. Relevance is generated from explicit identifiers/names and governed topic mappings; it is not attribution evidence.
Malware Analysis & Reverse Engineering · Tactic learning route · 24/100Module 4 — Detection engineering and detection as code
Blue Team & Defensive Security · Tactic learning route · 24/100Disk, file-system, and persistence forensics
Digital Forensics & Incident Response (DFIR) · Tactic learning route · 24/100
MITRE mitigations
Software updates ensure systems are protected against known vulnerabilities by applying patches and upgrades provided by vendors. Regular updates reduce the attack surface and prevent adversaries from exploiting known security gaps. This includes patching operating systems, applications, drivers, and firmware. This mitigation can be implemented through the following measures: Regular Operating System Updates - Implementation: Apply the latest Windows security updates monthly using WSUS (Windows Server Update Services) or a similar patch management solution. Configure systems to check for updates automatically and schedule reboots during maintenance windows. - Use Case: Prevents exploitation of OS vulnerabilities such as privilege escalation or remote code execution. Application Patching - Implementation: Monitor Apache's update release notes for security patches addressing vulnerabiliti…
MITRE mitigation sourceA Threat Intelligence Program enables organizations to proactively identify, analyze, and act on cyber threats by leveraging internal and external data sources. The program supports decision-making processes, prioritizes defenses, and improves incident response by delivering actionable intelligence tailored to the organization's risk profile and operational environment. This mitigation can be implemented through the following measures: Establish a Threat Intelligence Team: - Form a dedicated team or assign responsibility to existing security personnel to collect, analyze, and act on threat intelligence. Define Intelligence Requirements: - Identify the organization’s critical assets and focus intelligence gathering efforts on threats targeting these assets. Leverage Internal and External Data Sources: - Collect intelligence from internal sources such as logs, incidents, and alerts. Subsc…
MITRE mitigation sourceApplication Isolation and Sandboxing refers to the technique of restricting the execution of code to a controlled and isolated environment (e.g., a virtual environment, container, or sandbox). This method prevents potentially malicious code from affecting the rest of the system or network by limiting access to sensitive resources and critical operations. The goal is to contain threats and minimize their impact. This mitigation can be implemented through the following measures: Browser Sandboxing: - Use Case: Implement browser sandboxing to isolate untrusted web content and prevent malicious web pages or scripts from accessing sensitive system resources or initiating unauthorized downloads. - Implementation: Use browsers with built-in sandboxing features (e.g., Google Chrome, Microsoft Edge) or deploy enhanced browser security frameworks that limit the execution scope of active content.…
MITRE mitigation sourceMITRE detection strategies and analytics
- AN1633 · Analytic 1633 — Detects exploitation attempts targeting defensive security software or OS services. Defender observation includes abnormal process behavior (e.g., AV or EDR crashing unexpectedly), unsigned/untrusted modules loaded into defensive processes, or privilege escalation from security agent services. Multi-event correlation ties exploitation attempts to subsequent evasive behavior like service termination or missing logs.
- AN1634 · Analytic 1634 — Detects kernel- or user-space exploitation attempts targeting auditd, AV daemons, or security monitoring agents. Defender observation includes unexpected segfaults, privilege escalation attempts from low-privileged processes, or modifications to security binaries. Correlates exploitation attempts with subsequent gaps in logging or terminated processes.
- AN1635 · Analytic 1635 — Detects exploitation of macOS security and integrity services, such as Gatekeeper, XProtect, or EDR agents. Defender observations include unsigned processes attempting privileged operations, abnormal termination of security daemons, or modification of system integrity logs.
- AN1636 · Analytic 1636 — Detects exploitation of IaaS cloud security boundaries to evade defense controls. Defender perspective includes anomalous API calls that bypass audit logging, disable monitoring, or manipulate guardrails (e.g., CloudTrail tampering). Correlation highlights when exploitation attempts precede sudden absence of expected telemetry.
- AN1637 · Analytic 1637 — Detects adversary abuse of SaaS platform vulnerabilities to bypass logging, monitoring, or consent boundaries. Defender perspective focuses on abnormal application integration events, missing audit logs, or API calls from unauthorized service principals that align with exploitation attempts.