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What is PHP and why did it spark a global cyber-security scramble? For more than a decade, serious flaws had gone undetected in technology underpinning much of the internet. It took artificial intelligence (AI) to bring them to light and caused a global cyber-security alert. The vulnerabilities lie within a programming language called PHP, which has been used internationally since the 2000s to build websites. Governments and cyber-security agencies around the world scrambled to contain the fallout of this discovery on Wednesday, and have urged website operators to install a new emergency fix or consider taking their platforms offline.

The PHP Foundation has released a patch for the flaw but it may take time for vulnerable sites to use it to shore up their defences. The PHP Foundation has released a patch for the flaw but it may take time for vulnerable sites to use it to shore up their defences. Websites around the globe have gone dark after a serious vulnerability was found in a computer language used to build much of the world wide web. Belgian, Dutch, Finnish, French and German sites were among those that governments took down temporarily as they scrambled to patch the critical weakness in PHP, a language used by almost 70% of websites . The vulnerability in the programming language, which became public on Tuesday, sparked warnings from national security agencies in Washington and London.

A screen displays an unavailable Dutch government website, as cyber agencies warn that websites may be taken offline while PHP prepares a critical fix on Wednesday. Government websites in Europe and elsewhere went offline on Wednesday after the disclosure of critical vulnerabilities in a widely used programming language sent website operators around the world scrambling to protect their systems. Developers of the PHP programming language on Wednesday released urgent new fixes to vulnerabilities that had quietly been lurking in their software for years until they were uncovered using AI, saying that all users were "encouraged to update immediately." With tech firms warning that some hackers were already exploiting the flaws, government agencies across Europe were among those that took sites offline as a precaution. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right.

Safety Net Creator Playbook Trending Now Mashable Selects Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Getting Technical with Mashable Gift Ideas For Everyone On Your List Say More Versus In My Bag Mashable @Home All Series PHP vulnerability: Which websites and services are affected? From online forums to gaming services, operators are taking sites offline while they install emergency PHP security updates. Olivia Tauber is the deputy editor of digital culture, covering creators, media, movies, beauty, and more. Based in New York, her work has appeared in The New York Times, Vanity Fair, The Cut, Teen Vogue, Complex, and Interview Magazine. She holds a Master's degree in Journalism from NYU and a Bachelor's from the University of Michigan.

One of the two major issues impacting web security this morning has had a ripple effect. In the wake of an announcement from the PHP Foundation that it was issuing a security release to patch two critical vulnerabilities, several government websites in the EU and Canada were taken offline as a preventive measure. Reuters reported that governments in the Netherlands, Denmark, France and Finland took down at least some websites as a preventive measure. Meanwhile Evan Solomon, Canada's Minister of Artificial Intelligence and Digital Innovation, posted on X about the decision to temporarily go offline, while seconding the call for any website operators using PHP to update as soon as possible. PHP is a programming language for websites.

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Trending Now Mashable Selects Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Getting Technical with Mashable Gift Ideas For Everyone On Your List Say More Versus In My Bag Mashable @Home Top creators, ranked Creator Playbook All Series Two serious flaws in software that powers a large share of the web leaked ahead of their fix. Now attacks have reportedly started. Chance Townsend is the General Assignments Editor at Mashable, covering tech, video games, dating apps, digital culture, and whatever else comes his way. He has a Master's in Journalism from the University of North Texas and is a proud orange cat father. His writing has also appeared in PC Mag and .

The Conditional Sequence Modeling (CSM) paradigm, benefiting from the transformer's powerful distribution modeling capabilities, has demonstrated considerable promise in Reinforcement Learning (RL) tasks. However, much of the work has focused on applying CSM to single online or offline settings, with the general architecture rarely explored. Additionally, existing methods primarily focus on deterministic trajectory modeling, overlooking the randomness of state transitions and the diversity of future trajectory distributions. Fortunately, value-based methods offer a viable solution for CSM, further bridging the potential gap between offline and online RL. In this paper, we propose Value-Guided Decision Transformer (VDT), which leverages value functions to perform advantage-weighting and behavior regularization on the Decision Transformer (DT), guiding the policy toward upper-bound optimal decisions during the offline training phase.

The practical use of reinforcement learning (RL) requires handling diverse settings, including online, offline, and offline-to-online learning. Instead of developing separate algorithms for each setting, we propose Uni-RL, a unified model-free RL framework that addresses all these scenarios within a single formulation. Uni-RL builds on the Implicit Value Regularization (IVR) framework and generalizes its dataset behavior constraint to the constraint w.r.t a reference policy, yielding an unified value learning objective for general settings. The reference policy is chosen to be the target policy in the online setting and the behavior policy in the offline setting. Using an iteratively refined behavior policy solves the over-constrained problem of directly applying IVR in the online setting, it provides an implicit trust-region style update through the value function while being off-policy.