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This story was originally published on HackerNoon at: https://hackernoon.com/automating-incident-response-how-to-reduce-malware-forensics-time-by-99percent-with-python-and-virustotal.
Build a pipeline that aggressively removes "Safe" files using three layers.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #digital-forensics, #malware, #incident-response, #security, #nist, #virus-total, #cybersecurity-funnel, #cysec-funnel-architecture, and more.
This story was written by: @dippusingh. Learn more about this writer by checking @dippusingh's about page, and for more stories, please visit hackernoon.com.
The average time to resolve a cyber incident is 43 days. Manually analyzing 5,000 files takes 80 hours. We will build a pipeline that aggressively removes "Safe" files using three layers.
271 つのエピソード
This story was originally published on HackerNoon at: https://hackernoon.com/automating-incident-response-how-to-reduce-malware-forensics-time-by-99percent-with-python-and-virustotal.
Build a pipeline that aggressively removes "Safe" files using three layers.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #digital-forensics, #malware, #incident-response, #security, #nist, #virus-total, #cybersecurity-funnel, #cysec-funnel-architecture, and more.
This story was written by: @dippusingh. Learn more about this writer by checking @dippusingh's about page, and for more stories, please visit hackernoon.com.
The average time to resolve a cyber incident is 43 days. Manually analyzing 5,000 files takes 80 hours. We will build a pipeline that aggressively removes "Safe" files using three layers.
271 つのエピソード
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