Books > Computing & IT > Computer hardware & operating systems > Operating systems & graphical user interfaces (GUIs) > Macintosh OS
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OS X Incident Response - Scripting and Analysis (Paperback)
Loot Price: R1,251
Discovery Miles 12 510
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OS X Incident Response - Scripting and Analysis (Paperback)
Expected to ship within 12 - 17 working days
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OS X Incident Response: Scripting and Analysis is written for
analysts who are looking to expand their understanding of a
lesser-known operating system. By mastering the forensic artifacts
of OS X, analysts will set themselves apart by acquiring an
up-and-coming skillset. Digital forensics is a critical art and
science. While forensics is commonly thought of as a function of a
legal investigation, the same tactics and techniques used for those
investigations are also important in a response to an incident.
Digital evidence is not only critical in the course of
investigating many crimes but businesses are recognizing the
importance of having skilled forensic investigators on staff in the
case of policy violations. Perhaps more importantly, though,
businesses are seeing enormous impact from malware outbreaks as
well as data breaches. The skills of a forensic investigator are
critical to determine the source of the attack as well as the
impact. While there is a lot of focus on Windows because it is the
predominant desktop operating system, there are currently very few
resources available for forensic investigators on how to
investigate attacks, gather evidence and respond to incidents
involving OS X. The number of Macs on enterprise networks is
rapidly increasing, especially with the growing prevalence of BYOD,
including iPads and iPhones. Author Jaron Bradley covers a wide
variety of topics, including both the collection and analysis of
the forensic pieces found on the OS. Instead of using expensive
commercial tools that clone the hard drive, you will learn how to
write your own Python and bash-based response scripts. These
scripts and methodologies can be used to collect and analyze
volatile data immediately. For online source codes, please visit:
https://github.com/jbradley89/osx_incident_response_scripting_and_analysis
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