Ever lost sleep over possible hidden attack routes lurking in your organization’s attack surface? You’re not alone. The concept of ‘unknown-unknowns’ is a recurring nightmare for many IT professionals – but there are ways to mitigate the risks. We’ll explore the problem of unknown-unknowns and provide some practical strategies to help your organization uncover these hidden threats.

Let’s explore how SpiderLabs created and incorporated user prompts, specifically Windows dialog boxes into its malware loader to make it more convincing to phishing targets during a Red Team engagement.

An ad-hoc query is an unscheduled data inquiry, typically created in response to questions that cannot be addressed using predetermined or predefined datasets. Ad hoc distributed queries utilize the OPENROWSET(Transact-SQL) and OPENDATASOURCE(Transact-SQL) functions for establishing connections with remote data sources employing OLE DB. It’s advisable to employ OPENROWSET and OPENDATASOURCE solely for referencing OLE DB data sources that are accessed on an occasional basis.

Pickle in Python is primarily used in serializing and deserializing a Python object structure. In other words, it’s the process of converting a Python object into a byte stream to store it in a file/database, maintain program state across sessions, or transport data over the network. The pickled byte stream can be used to re-create the original object hierarchy by unpickling the stream. This whole process is similar to object serialization in Java or.Net.

As the world becomes increasingly digital, cyber-attacks are becoming more sophisticated, and traditional security measures, like firewalls and passwords, are no longer sufficient in protecting sensitive data. This raises a critical question: how can organizations identify hidden threats lurking within their networks?

The financial repercussions of data breaches have soared, with organizations facing an average loss of $4.45 million per incident in 2023. However, beyond only financial implications, organizations that suffer a data breach face other severe consequences, including legal ramifications, productivity halts, and often worse, reputational damage amongst their clientele.

This blog provides detailed steps to show you how to move from VMware to Red Hat OpenShift Virtualization using Red Hat’s MTV Operator (Migration Toolkit for Virtualization Operator). To further help the reader, you can see a video of Trilio for OpenShift here Red Hat OpenShift Virtualization and KubeVirt Backup & Recovery with Trilio, and a whitepaper about Trilio VMware migration to OpenStack Technology-Driven VMware to OpenStack Migration: A Comprehensive Guide.

Cybersecurity has always been a complex field. Its adversarial nature means the margins between failure and success are much finer than in other sectors. As technology evolves, those margins get even finer, with attackers and defenders scrambling to exploit them and gain a competitive edge. This is especially true for AI.

Everyone knows that running outdated computer applications comes with annoyances and risks. An outdated application might face performance issues or just become slower than modern versions. It might face compatibility issues and have limited functionalities. It might lose technical support and even fail to meet current industry standards and regulations, which could put your organization at risk for non-compliance penalties and legal action.

We recently wrote about npm audit fix, which is an add-on to the excellent npm audit, that has become a fundamental tool for managing software packages in Node.js projects. However, developers working with other languages also require specialized tools for Software Composition Analysis (SCA). At Jit, our tool of choice for SCA scanning across a diversity of programming languages is OSV Scanner, a best of breed OSS solution maintained by Google.