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Over the past decade, data centers have become the topic of conversation in the’investment world and a massive source of revenue for tech giants. Amazon Web Services generates today's nearly 20% of the e-commerce giant's revenue. At the same time, however, Nvidia , the leading supplier of components for data centers, has become the third-largest technology company in the world. The increasing use of technologies from’artificial intelligence, which require significant computing power and storage, is only powering the’s rise of data centers, which is expected to further increase in the years to come. According to the data presented by Stocklytics.com, the global data center market is expected to grow by 30% and reach a value of more than 430 billion dollars by 2028’ . Cloud computing and AI are exploding the data market. The widespread adoption of cloud computing has dramatically transformed the landscape of data centers. While it has reduced the numb...
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Hidden Danger! Facebook Pixel Skimmers Threaten Your Website!
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Did you know that credit card skimmers can hide in seemingly harmless scripts on your website? Learn how to identify and protect yourself from these insidious threats.
Malicious camouflage: the credit card skimmer
According to cybersecurity experts, attackers have managed to inject a credit card skimmer into a script that masquerades as a Facebook Pixel tracker.
This type of script is typically used to track and optimize the performance of social media advertising campaigns.
However, in this case, the malicious script quietly redirects data to a malicious domain, thereby fooling users and security systems.
Analysis of a malicious Facebook Pixel script
At first glance, the malicious script may appear identical to a legitimate Facebook Pixel script, but close inspection reveals crucial differences.
For example, the domain usually called by the Facebook Pixel code is replaced by a malicious domain.
This subtle change is often hidden by obfuscation techniques, such as using base64-encoded strings that are decoded at runtime.
Obfuscation techniques used
Attackers use sophisticated techniques to camouflage their malicious activities.
For example, they can replace parts of legitimate source code with harmful alternatives without raising suspicion.
This process often includes replacing strings and domains within the script to confuse security tools and website administrators.
Recognize the symptoms of infection.
Detecting a credit card skimmer is not always easy because the symptoms can be subtle.
These malicious scripts usually wait until the user reaches a checkout page to activate their data collection functions.
As these pages load dynamic elements, public scanners often fail to detect the malware.
Protecting your site from credit card skimmers
To protect your site from these threats, it is crucial to keep your systems up-to-date and actively monitor file integrity.
Using a web application firewalland intrusion detection system can also help block malicious traffic and prevent intrusions.
Additionally, it is recommended to regularly review administrator accounts and ensure passwords are strong and regularly updated.
On Meta's platforms, a label for AI-generated content Following in the footsteps of other players, Meta is gradually developing methods to regulate the use of generative AI on its platforms. In a blog post published this Tuesday, February 6, the American group announces the introduction, "in the coming months", of a tool to automatically label AI-generated content on Facebook, Threads, and Instagram. To develop this solution, the company is announcing that it is "working with industry partners to establish common technical standards to signal that content has been generated by AI", details Nick Clegg, the Menlo Park-based group's dedicated president of international affairs. Meta has already developed a similar tool for its image-generating AI. This announcement is hardly a surprise: since the US launch of Imagine with Meta, the group has already, "for reasons of transparency and traceability", deployed two watermarks on images produced by its i...
How Meta's Threads is Changing the Social Networking Experience In response to demand from its community, Threads recently introduced trending topics, a feature that transforms the way users discover and interact with news topics. This innovation promises to boost engagement and deliver an enriched user experience. But how big is it, and what potential impact will it have on the use of Threads? Meta's new social network, Threads, continues to evolve with the launch of trending topics, a feature eagerly awaited by users and reminiscent of that previously offered by X. This new feature should boost engagement on the platform and make it easier for users to discover and follow trending topics. Response to User Demand Since its launch last year, Threads has grown in popularity, as evidenced by the recent increase in its user base. However, many users were calling for a trending topics feature, similar to the one already available on X. With this in mind, Mark Zuckerberg, CEO of ...
After ChatGPT and DALL-E, its conversational agent and AI image generator, OpenAI has unveiled Sora, a video generator, "capable of creating realistic and creative scenes from text instructions", describes the company in a blog post. In its final stages of testing, this new model appears particularly impressive in the examples shared by OpenAI. Sora, OpenAI's text-to-video model, unveiled Sora is an AI-based video generator. According to OpenAI, this new model can generate videos of up to one minute in length, "respecting visual quality and consistency with the user's prompt". In concrete terms, Sora will make it possible to generate videos in the same way as one generates an image with tools such as DALL-E or Midjourney. "Sora is capable of handling complex scenes with multiple characters, specific types of movement, and precise details of subject and background," explains OpenAI. The model understands not only what the user has requested in ...
