For the last decade, the agency model relied on a simple formula: Build a high-value asset, hand it over, and charge a nominal fee to keep the lights on. That model is breaking and the smartest agencies have already moved on. This guide shows you how to package, price, and sell that assurance without hiring an internal security team.

Scammers are increasingly using visually stylized QR codes to deliver phishing links, Help Net Security reports. QR code phishing (quishing) is already more difficult to detect, since these codes deliver links without a visible URL. Attackers are now using QR codes with colors, shapes, and logos woven into the code’s pattern. “Fancy QR codes further complicate detection,” Help Net Security says. “Their layouts no longer resemble the familiar black and white grid.

A critical vulnerability in Langflow’s code validation mechanism allows unauthenticated attackers to execute arbitrary Python code on exposed systems. Tracked as CVE-2025-3248, the vulnerability resides in a publicly accessible API endpoint and affects all Langflow versions prior to 1.3.0. Active exploitation has been confirmed, with attackers using the vulnerability to deploy malware and onboard compromised systems into botnet infrastructure.

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.

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.