quinta-feira, 11 de junho de 2020

Cisco Certified CyberOps Professional



Fala galera beleza?

A Cisco anunciou essa semana aquilo que vinha prometendo desde a última Cisco Live em 2019, o lançamento da certificação Cisco Certified CyberOps Professional (a partir do dia 17/11/2020) , a certificação será dividida em duas provas, a 350-201 CBRCOR Performing CyberOps Using Cisco Security Technologies e a prova 300-210 CBRFIR  Conducting Forensic Analysis and Incident Response Using Cisco Technologies for CyberOps, segue o blueprint das provas e mais informações:

350-201 CBRCOR Exam: Performing CyberOps Using Cisco Security Technologies v1.0
Exam Description
 
Performing CyberOps Using Cisco Security Technologies v1.0 (CBRCOR 350-201) is a 120-minute exam that is associated with the Cisco CyberOps Professional Certification. This exam tests a candidate's knowledge of core cybersecurity operations including cybersecurity fundamentals, techniques, processes, and automation. The course Performing CyberOps Using Cisco Core Security Technologies helps candidates to prepare for this exam.

The following topics are general guidelines for the content likely to be included on the exam. However, other related topics may also appear on any specific delivery of the exam. To better reflect the contents of the exam and for clarity purposes, the guidelines below may change at any time without notice.

Tópicos:

20% 1.0 Fundamentals
1.1 Interpret the components within a playbook
1.2 Determine the tools needed based on a playbook scenario
1.3 Apply the playbook for a common scenario (for example, unauthorized elevation of
privilege, DoS and DDoS, website defacement)
1.4 Infer the industry for various compliance standards (for example, PCI, FISMA, FedRAMP,
SOC, SOX, PCI, GDPR, Data Privacy, and ISO 27101)
1.5 Describe the concepts and limitations of cyber risk insurance
1.6 Analyze elements of a risk analysis (combination asset, vulnerability, and threat)
1.7 Apply the incident response workflow
1.8 Describe characteristics and areas of improvement using common incident response
metrics
1.9 Describe types of cloud environments (for example, IaaS platform)
1.10 Compare security operations considerations of cloud platforms (for example, IaaS, PaaS)

30% 2.0 Techniques
2.1 Recommend data analytic techniques to meet specific needs or answer specific
questions
2.2 Describe the use of hardening machine images for deployment
2.3 Describe the process of evaluating the security posture of an asset
2.4 Evaluate the security controls of an environment, diagnose gaps, and recommend
improvement
2.5 Determine resources for industry standards and recommendations for hardening of
systems
2.6 Determine patching recommendations, given a scenario
2.7 Recommend services to disable, given a scenario
2.8 Apply segmentation to a network
2.9 Utilize network controls for network hardening
2.10 Determine SecDevOps recommendations (implications)
2.11 Describe use and concepts related to using a Threat Intelligence Platform (TIP) to
automate intelligence
2.12 Apply threat intelligence using tools
2.13 Apply the concepts of data loss, data leakage, data in motion, data in use, and data at
rest based on common standards
2.14 Describe the different mechanisms to detect and enforce data loss prevention
techniques
2.14.a host-based
2.14.b network-based
2.14.c application-based
2.14.d cloud-based
2.15 Recommend tuning or adapting devices and software across rules, filters, and policies
2.16 Describe the concepts of security data management
2.17 Describe use and concepts of tools for security data analytics
2.18 Recommend workflow from the described issue through escalation and the automation
needed for resolution
2.19 Apply dashboard data to communicate with technical, leadership, or executive
stakeholders
2.20 Analyze anomalous user and entity behavior (UEBA)
2.21 Determine the next action based on user behavior alerts
2.22 Describe tools and their limitations for network analysis (for example, packet capture
tools, traffic analysis tools, network log analysis tools)
2.23 Evaluate artifacts and streams in a packet capture file
2.24 Troubleshoot existing detection rules
2.25 Determine the tactics, techniques, and procedures (TTPs) from an attack

30% 3.0 Processes
3.1 Prioritize components in a threat model
3.2 Determine the steps to investigate the common types of cases
3.3 Apply the concepts and sequence of steps in the malware analysis process:
3.3.a Extract and identify samples for analysis (for example, from packet capture or
packet analysis tools)
3.3.b Perform reverse engineering
3.3.c Perform dynamic malware analysis using a sandbox environment
3.3.d Identify the need for additional static malware analysis
3.3.e Perform static malware analysis
3.3.f Summarize and share results
3.4 Interpret the sequence of events during an attack based on analysis of traffic patterns
3.5 Determine the steps to investigate potential endpoint intrusion across a variety of
platform types (for example, desktop, laptop, IoT, mobile devices)
3.6 Determine known Indicators of Compromise (IOCs) and Indicators of Attack (IOAs), given
a scenario
3.7 Determine IOCs in a sandbox environment (includes generating complex indicators)
3.8 Determine the steps to investigate potential data loss from a variety of vectors of
modality (for example, cloud, endpoint, server, databases, application), given a scenario
3.9 Recommend the general mitigation steps to address vulnerability issues
3.10 Recommend the next steps for vulnerability triage and risk analysis using industry
scoring systems (for example, CVSS) and other techniques

20% 4.0 Automation
4.1 Compare concepts, platforms, and mechanisms of orchestration and automation
4.2 Interpret basic scripts (for example, Python)
4.3 Modify a provided script to automate a security operations task
4.4 Recognize common data formats (for example, JSON, HTML, CSV, XML)
4.5 Determine opportunities for automation and orchestration
4.6 Determine the constraints when consuming APIs (for example, rate limited, timeouts,
and payload)
4.7 Explain the common HTTP response codes associated with REST APIs
4.8 Evaluate the parts of an HTTP response (response code, headers, body)
4.9 Interpret API authentication mechanisms: basic, custom token, and API keys
4.10 Utilize Bash commands (file management, directory navigation, and environmental
variables)
4.11 Describe components of a CI/CD pipeline
4.12 Apply the principles of DevOps practices
4.13 Describe the principles of Infrastructure as Code 
 
300-210 CBRFIR Exam: Conducting Forensic Analysis and Incident Response Using Cisco Technologies for CyberOps v1.0
Exam Description
 
Conducting Forensic Analysis and Incident Response Using Cisco Technologies for CyberOps v1.0 (CBRFIR 300-210) is a 60-minute exam that is associated with the Cisco CyberOps Professional Certification. This exam tests a candidate's knowledge of forensic analysis and incident response fundamentals, techniques, and processes. The course Conducting Forensic Analysis and Incident Response Using Cisco CyberOps Technologies helps candidates to prepare for this exam.

The following topics are general guidelines for the content likely to be included on the exam. However, other related topics may also appear on any specific delivery of the exam. To better reflect the contents of the exam and for clarity purposes, the guidelines below may change at any time without notice.

20% 1.0 Fundamentals
1.1 Analyze the components needed for a root cause analysis report
1.2 Describe the process of performing forensics analysis of infrastructure network devices
1.3 Describe antiforensic tactics, techniques, and procedures
1.4 Recognize encoding and obfuscation techniques (such as, base 64 and hex encoding)
1.5 Describe the use and characteristics of YARA rules (basics) for malware identification,
classification, and documentation
1.6 Describe the role of:
1.6.a hex editors (HxD, Hiew, and Hexfiend) in DFIR investigations
1.6.b disassemblers and debuggers (such as, Ghidra, Radare, and Evans Debugger) to
perform basic malware analysis
1.6.c deobfuscation tools (such as, XORBruteForces, xortool, and unpacker)
1.7 Describe the issues related to gathering evidence from virtualized environments (major
cloud vendors)

20% 2.0 Forensics Techniques
2.1 Recognize the methods identified in the MITRE attack framework to perform fileless
malware analysis
2.2 Determine the files needed and their location on the host
2.3 Evaluate output(s) to identify IOC on a host
2.3.a process analysis
2.3.b log analysis
2.4 Determine the type of code based on a provided snippet
2.5 Construct Python, PowerShell, and Bash scripts to parse and search logs or multiple data
sources (such as, Cisco Umbrella, Sourcefire IPS, AMP for Endpoints, AMP for Network,
and PX Grid)
2.6 Recognize purpose, use, and functionality of libraries and tools (such as, Volatility,
Systernals, SIFT tools, and TCPdump)

30% 3.0 Incident Response Techniques
3.1 Interpret alert logs (such as, IDS/IPS and syslogs)
3.2 Determine data to correlate based on incident type (host-based and network-based
activities)
3.3 Determine attack vectors or attack surface and recommend mitigation in a given
scenario
3.4 Recommend actions based on post-incident analysis
3.5 Recommend mitigation techniques for evaluated alerts from firewalls, intrusion
prevention systems (IPS), data analysis tools (such as, Cisco Umbrella Investigate, Cisco
Stealthwatch, and Cisco SecureX), and other systems to responds to cyber incidents
3.6 Recommend a response to 0 day exploitations (vulnerability management)
3.7 Recommend a response based on intelligence artifacts
3.8 Recommend the Cisco security solution for detection and prevention, given a scenario
3.9 Interpret threat intelligence data to determine IOC and IOA (internal and external
sources)
3.10 Evaluate artifacts from threat intelligence to determine the threat actor profile
3.11 Describe capabilities of Cisco security solutions related to threat intelligence (such as,
Cisco Umbrella, Sourcefire IPS, AMP for Endpoints, and AMP for Network)

15% 4.0 Forensics Processes
4.1 Describe antiforensic techniques (such as, debugging, Geo location, and obfuscation)
4.2 Analyze logs from modern web applications and servers (Apache and NGINX)
4.3 Analyze network traffic associated with malicious activities using network monitoring
tools (such as, NetFlow and display filtering in Wireshark)
4.4 Recommend next step(s) in the process of evaluating files based on distinguished
characteristics of files in a given scenario
4.5 Interpret binaries using objdump and other CLI tools (such as, Linux, Python, and Bash)

15% 5.0 Incident Response Processes
5.1 Describe the goals of incident response
5.2 Evaluate elements required in an incident response playbook
5.3 Evaluate the relevant components from the ThreatGrid report
5.4 Recommend next step(s) in the process of evaluating files from endpoints and
performing ad-hoc scans in a given scenario
5.5 Analyze threat intelligence provided in different formats (such as, STIX and TAXII)

Achei bem interessante o conteúdo das duas provas, podemos perceber a preocupação da Cisco com o que um analista de Cybersec faz no dia-a-dia de uma empresa, além de incluir novas tecnologias (Cloud, IoT, automação etc) a Cisco mesclou bem o aprendizado com os seus produtos de Security como o UMBRELLA, Stealthwatch e outros), das novas certificações voltadas para a área essa parece se encaixar muito bem no gap de skills que temos no Brasil.

Link original:

Link CBRCOR:

Link CBRFIR:

Agora é esperar talvez um CCIE para a track (talvez ano que vem).

Abraços pessoal


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