Using Python to unearth a goldmine of threat intelligence from leaked chat logs

Dealing with a great amount of data can be time consuming, thus using Python can be very powerful to help analysts sort information and extract the most relevant data for their investigation. The open-source tools library, MSTICpy, for example, is a Python tool dedicated to threat intelligence. It aims to help threat analysts acquire, enrich, analyze, and visualize data.
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HAFNIUM targeting Exchange Servers with 0-day exploits

Microsoft has detected multiple 0-day exploits being used to attack on-premises versions of Microsoft Exchange Server in limited and targeted attacks. In the attacks observed, threat actors used this vulnerability to access on-premises Exchange servers, which enabled access to email accounts, and install additional malware to facilitate long-term access to victim environments. Microsoft Threat Intelligence Center (MSTIC) attributes this campaign with high confidence to HAFNIUM.
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ZINC attacks against security researchers

In recent months, Microsoft has detected cyberattacks targeting security researchers by an actor we track as ZINC. Observed targeting includes pen testers, private offensive security researchers, and employees at security and tech companies.
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From unstructured data to actionable intelligence: Using machine learning for threat intelligence

Machine learning and natural language processing can automate the processing of unstructured text for insightful, actionable threat intelligence.
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