Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A smart device is any device connected to the internet and can be controlled by a computer or smartphone. This includes devices such as home appliances, security cameras, thermostats, doorbells, lighting systems, and other connected gadgets. Smart devices are becoming increasingly popular due to the convenience they offer. However, with this convenience comes a greater risk to your privacy.

Most developers, including myself, have written unit tests before. Fuzz testing on the other hand has only started seeing widespread industry usage in recent years. Yet, some voices are already praising fuzz testing as the more effective approach, due to its ability to automatically generate negative and invalid test inputs. Let's put this claim to the test and see how these two approaches match up.

Over the past several decades, cybercrime has evolved to be more comprehensive, threatening, and damaging. There is an emerging trend of cybercriminals attacking all sorts of individuals and organizations in the industry. The healthcare industry has been a soft target for many years and healthcare data is a prime target for cybercriminals intent on stealing data.

In recent incident response investigations, CrowdStrike Services has observed adversaries use the sts:GetFederationToken API call to create federated sessions from IAM users. In this scenario, the federated session inherits permissions from the base IAM user. Perhaps surprising to many incident responders, the privileges and access of the federated session are not revoked when the base IAM user’s credentials are deactivated.

Small and medium-sized businesses (SMBs) are more frequent targets of cybercrime than larger companies, industry research shows, and the trend is putting enormous financial pressure on small businesses. Some SMBs feel this pressure more strongly than others: CrowdStrike’s data shows sectors including not-for-profit and transportation are more frequently targeted with high- and critical-severity attacks than other industries.

Security teams need to continually bolster their cybersecurity controls and expertise to keep up with the evolving threat landscape. Successful readiness and response to a cybersecurity breach requires the right mix of people, processes and technology. Yet challenges with staffing, technical issues, and budget hamper threat detection and response for too many organizations, creating gaps that threat actors are eager to exploit.

Python is a popular and powerful programming language that is often used for building web applications, data analysis, and automation. One of the key challenges in such projects is ensuring the security of network communication, which can be vulnerable to various threats such as man-in-the-middle attacks and eavesdropping. Fortunately, Python offers a range of libraries for encrypting and securing network communication.