If you’re an administrator running Ivanti VPN (Connect Secure and Policy Secure) appliances in your network, then the past two months have likely made you wish you weren’t. In a relatively short timeframe bad news kept piling up for Ivanti Connect Secure VPN customers, starting on Jan. 10th, 2024, when critical and high severity vulnerabilities, CVE-2024-21887 and CVE-2023-46805 respectively, were disclosed by Ivanti impacting all supported versions of the product.

Fraud is a problem that impacts all of us in different ways; there’s probably no one who hasn’t been directly or indirectly impacted by some kind of fraudulent activity. Have you or someone you know had their identity stolen? Has someone hacked your email or social media account? Have you had money taken from your account (think bank or credit cards here) one way or another? These are all examples of fraud and how it can affect us.

Password spraying and credential stuffing have a lot in common, but the main difference is in the way the attack is executed. With credential stuffing, the cybercriminal already has a set of verified login credentials, whereas, with password spraying, the cybercriminal has to guess the login credentials by matching a list of usernames with a commonly used password.

On February 29th, the Cybersecurity and Infrastructure Security Agency (CISA) issued two separate advisories related to malicious behavior exhibited by threat actors. The first advisory AA24-060A pertains to Phobos Ransomware and the second advisory AA24-060B pertains to the exploitation of vulnerabilities in Ivanti Connect Secure and Policy Secure Gateways.

As of August 2023, only 3 out of 23 US government agencies were compliant with Office of Management and Budget (OMB) requirements for log management and security observability. These requirements are outlined in M-21-31, a 2021 memorandum that was issued following Executive Order 14028 on improving national cybersecurity. Until all of these agencies implement the new requirements, the federal government’s ability to fully detect, investigate, and remediate cybersecurity threats will be constrained.

Cybersecurity professionals often point out that threat actors do not differentiate when choosing a victim. To an attacker, a hospital is as useful a target as a law firm or even a mining operation. After all, a mining company has the same attributes that make it as interesting as any other target: proprietary data and customer information, and it must stay in operation. All of which an attacker can exploit for financial gain.

Allow me to set the scene and start proceedings off with a definition of an integer overflow, according to Wikipedia: To be inclusive of all audiences here, in software security we’ve got sources (typically user input) and sinks – where that input (the data) ends up. In order to overflow something (e.g. an integer overflow) we clearly need some way to be able to do that (think pouring water from a kettle into a cup), and that’s the source (us using the kettle) to overflow the cup.

As the Principal Threat Intelligence Services Engineer and Trainer at ThreatQuotient, my role puts me in front of a diverse range of clients and partners across various industries, offering me a unique perspective on the impact of regulatory frameworks on cybersecurity. Through our European Union (EU) based clients and partners, I have seen the emergence of the need to be compliant with the Digital Operational Resilience Act (DORA).

LAN Manager (LM) authentication level is a security setting that determines how Windows systems authenticate network connections. It is a legacy authentication protocol developed by Microsoft for use in older versions of Windows network operations. There are three main protocols involved in LAN Manager Authentication: The LAN Manager Authentication Level setting allows you to choose which protocols your system will use or accept for authentication.

PostgreSQL is one of the leading and widely used open source relational database management systems (RDBMS) that stores structured data in tables, just like MySQL. It is used by developers in their tech stacks and even by large enterprises and corporations to store website and application data. PostgreSQL uses SQL query language to store and manipulate data and also provides JSON support.