On January 20, 2026, Oracle patched a maximum‑severity vulnerability in its Fusion Middleware suite affecting Oracle HTTP Server and the WebLogic Server Proxy Plug‑in, tracked as CVE‑2026‑21962. An unauthenticated remote threat actor can exploit this flaw to gain unauthorized creation, deletion, or modification access to critical data. The issue stems from improper handling of incoming requests by the WebLogic Server Proxy Plug‑ins for Apache HTTP Server and Microsoft IIS.

Content originally created and published by Venak Security. Cybercriminals are increasingly adopting stealthy and advanced techniques, notably Dynamic-Link Library (DLL) side-loading and browser memory scraping, to install malware that stealthily harvests users’ passwords, credit card data, cookies, session tokens and more. These attacks blend social engineering, search manipulation and memory-level exploitation to bypass traditional defenses and compromise victims at scale.

Small business (SMB) cybersecurity has never been simple, but it’s become even more complex in recent years. Today’s businesses have to deal with an ever-growing number of apps and tools to secure, and this complexity is naturally going to be far harder for small teams to manage. Particularly for very small businesses.

Generative AI systems are designed to work with real data that expects structure, rely on patterns, and infer meaning from formats, relationships, and consistency across inputs. While real data facilitates better outputs and advanced training, making these systems useful has a tradeoff – it carries privacy, security, and compliance risk. This puts business on a difficult conundrum – either you block sensitive data entirely and lose context, or accept the privacy risks of using real data.

Globally, companies lost an average of 7.7% of their annual revenue to fraud, according to TransUnion’s 2025 Digital Identity Risk Accelerates Fraud Losses report. In the US, companies reported revenue losses of 9.8%, a 46% increase from the previous year. That’s hundreds of billions of dollars heading into the hands of fraudsters. And those stats don’t account for the loss of trust, hit to brand reputation, and time and resources spent on mitigating and resolving the fraud.

An identity mule is someone who is compensated for sharing their identity. They may be asked for pictures of their identification documents and video selfies. Or, instructed to create an account and complete an identity verification flow before handing over the account’s credentials to a bad actor. The fraud cat-and-mouse game is taking a new turn. As organizations get better at detecting deepfakes, some bad actors are using real people’s identities to commit fraud.