Vulnerability Management

Identify attacker tactics, techniques, and indicators of compromise through threat intelligence; hunt threats, manage logs in a sim, detect threats, and perform incident response and forensics to reduce attack surface.

Demystify edr, xdr, siem, and soar, with defender for endpoint, Sentinel, and logic apps, and show how behavior monitoring and centralized logs enable effective incident response in a SoC.

Learn cyber threat intelligence by examining adversaries' motivations, intentions, and methods (ttps), and how gathering these insights enables threat-informed defense for enterprises.

Define cyber threats using the NIST standard. Identify threats as any circumstance that could adversely affect operations, assets, or individuals through an information system.

Explore threat informed defense in cyber intelligence by identifying the organization's mission, threat actors, their motivations, and TTPs, guiding detection and protection with a focused soc approach.

Learn how tactics, techniques, and procedures describe threat actor behavior from high-level objectives to detailed actions, including reconnaissance, scanning, and vulnerability scanning procedures.

Explore cyber threat intelligence sources across enterprise tools, open-source intel, and social media to gather IOCs, IOAs, and TTPs for vulnerability management.

Zero trust is a security strategy that verifies explicitly, enforces just-in-time access with least privilege, and assumes breach to minimize blast radius through network and identity segmentation.

Explore the Microsoft security cosmos for cloud security, SOC, and CTI, highlighting Defender XDR, Defender for Identity, Defender for Endpoint, Defender for Cloud Apps, and Defender for Cloud.

Explore the common vulnerabilities and exposures framework and CVE IDs, including descriptions, data sources, announcements, and CVSS scoring, using CVE-2009-2935 in Chrome as an example of remote code execution vulnerability.

learn how the common vulnerability scoring system (cvss) provides a universal severity score to rank and prioritize vulnerabilities, and compare cvss v2 and v3 with asset criticality in mind.

Examine zero day vulnerabilities, their time sensitivity, and disclosure options: public release, vendor notification with bug bounty, or selling on the dark market—and how disclosures trigger patches and CVE entries.

Learn how vulnerability management identifies, evaluates, prioritizes, remediates, and reports vulnerabilities. Apply automated scans and manual testing, assess cvss scores, and implement patches or compensating controls.

Document vulnerability details, including identified, mitigated, and outstanding issues; conduct regular stakeholder reviews to align progress; and prepare audit reports to ensure PCI-DSS and automotive compliance, reducing attack surface.

Create an OpenAI account using the link in the resources to follow along with ChatGPT demos, with options to use ChatGPT-4 or GPT-3.5 for satisfactory results.

Explore vulnerability management by analyzing the log4shell log4j2 remote code execution exploit, identifying the CVE, decoding the payload, and applying mitigations by upgrading to log4j2 newer than 2.15.0.

Analyze a Python proof-of-concept for Heartbleed that exploits the OpenSSL TLS heartbeat extension to disclose memory, and discuss practical mitigations and ethical considerations.