Senior CyberSecurity Analyst focusing on identifying and responding to email borne threats at Proofpoint. Collaborating with a global team to develop detection signatures against phishing, malware, and spam attacks.
Responsibilities
Member of a creative, enthusiastic, and geographically distributed team (in a 24/7/365 "follow the sun" model) that is responsible for identifying, parameterizing, and responding quickly to spam attacks levied against some of the world's largest organizations.
Analyze data and logs, search for specific patterns to identify email accounts take over, suspicious Ips, IP ranges, sending domains, etc, etc
Find suspicious behavioral patterns and identify/fix FNs/FPs
Analyze email messages reported by customers as well as work on large data sets in order to determine correct classification (spam, phishing, malware, BEC (Advanced Email Fraud), bulk, ham).
Some CONTENT DEVELOPMENT.
Perform deep analyses of spam message headers & structures to identify novel spam features, and design various rules/signatures to detect those features and block email borne threats
Ad-hoc development of tools as necessary to aid/streamline analysis activities is a plus
As an Email Cybersecurity analyst, who has coding experience and skills - an opportunity to design and develop new PoCs threat detection system(s) based on your expertise or learn how to add this skill to your toolset.
Developing and maintaining Python applications/tools, writing clean and efficient code, debugging and troubleshooting issues, collaborating with cross-functional teams, and participating in code reviews is a plus
Knowledge of database systems is a plus
Be available in an rotating on-call basis to respond to develop signatures, that detect and block an emerging or an ongoing threat(s)
Help us define the landscape, prevalence, and evolution of messaging abuse, threats, and attacks by participating in future requirements definition discussions of our products.
Requirements
Deep knowledge of IP space
Deep knowledge of Domain space
Knowledge of different types of email borne attack vectors, tools and tactics
Solid SQL, Presto SQL skills – proven experience in query building is a must
In-depth knowledge of email borne threats: phishing, malware, BEC and spam.
Ability to find and research suspicious patterns in sending Ips, URLs, domains, in conjunction with overall email structure (email headers and email context).
Ability to create detection signatures/rules (content development) based on observed suspicious patterns with experience of 2-4 or more years in the field.
General curiosity about the headers and structure of email messages.
General familiarity with how mail delivery works, knowledge of email security standards and protocols, such as SPF, DKIM, and DMARC, would be beneficial.
Practical knowledge (hands-on experience) with Regular Expressions
Minimum 2+ years hands-on experience with Python or a different programming language is a plus
Experience in one of Python frameworks (Django, Flask or Pandas) is a plus
Experience with data analysis, familiarity with cybersecurity best practices, and the ability to work with large datasets.
Familiarity with Unix environments and comfort with a range of Unix command line tools for manipulating and extracting content from text files is a must have
Familiarity and/or experience with LUA based detection signatures is a plus
Familiarity and/or experience with ClamAV and/or Yara and/or in-house developed framework allowing to research and create signature based detection on email borne threats based detection signatures is a plus
Willingness to play an important technical role
Demonstrated analytical and creative problem-solving abilities.
Ability to work independently yet fully integrate with worldwide, remote teams.
Can-do attitude with a focus on problem solving, product quality, and a strong desire to get the job done.
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