Google has disclosed two actively exploited zero-day vulnerabilities in its most recent monthly security update for Android devices. The vulnerabilities, identified as CVE-2025-48633 and CVE-2025-48572, are high-severity flaws affecting the Android framework, allowing attackers to access information and escalate privileges. Despite their severity, they have not yet been included in the U.S. Cybersecurity and Infrastructure Security Agency’s (CISA) catalog of known exploited vulnerabilities. Issues with Android The December security notice is significant, as it includes a total of 107 […]
Google has disclosed two actively exploited zero-day vulnerabilities in its most recent monthly security update for Android devices. The vulnerabilities, identified as CVE-2025-48633 and CVE-2025-48572, are high-severity flaws that affect the Android framework, allowing attackers to access information and escalate privileges. Despite their severity, they have not yet been included in the catalog of known exploited vulnerabilities by the U.S. Cybersecurity and Infrastructure Security Agency (CISA).
Problems with Android
The December security notice is significant, as it includes a total of 107 resolved defects, making this the second highest number of patched vulnerabilities this year, only surpassed by the 120 fixed in September. This year has been irregular in terms of vulnerability disclosure, with months where no defects were reported, such as July and October, and a total of only six vulnerabilities in August.
The latest Google update features two patch levels —2025-12-01 and 2025-12-05— that will allow Android partners to address common vulnerabilities across different devices. Android device manufacturers typically release security updates according to their own schedule, customizing operating system updates for their specific hardware.
It has also been indicated that the most critical vulnerability addressed in this patch is CVE-2025-48631, which could allow an attacker to carry out a remote denial of service attack without the need for additional privileges. The update includes fixes for various areas, from the framework and system to critical components from manufacturers such as Qualcomm and MediaTek.
Finally, it has been confirmed that the source code for all the vulnerabilities addressed in this update will be released in the Android Open Source Project repository on Wednesday.
The growing concern over the misuse of personal data has gained momentum in the technological field, especially with the emergence of artificial intelligence. Recently, Google has found itself embroiled in controversy after being accused of activating its AI model Gemini in Gmail without obtaining user consent, which would have allowed access to private emails and documents. Your information remains private Users have expressed their concern that by using Gmail, they have automatically accepted that the platform accesses all their messages and attachments to train models of […]
The growing concern over the misuse of personal data has gained momentum in the technological field, especially with the emergence of artificial intelligence. Recently, Google has found itself embroiled in controversy after being accused of activating its AI model Gemini in Gmail without obtaining user consent, which would have allowed access to private emails and documents.
Your information remains private
Users have expressed their concern that, by using Gmail, they have automatically accepted that the platform accesses all their messages and attachments to train AI models, which poses serious privacy risks. In response to these accusations, Google has defended its position, stating that it does not use Gmail content to train its AI and that smart features have been present for years. Additionally, the company has emphasized that users have the option to disable these features.
Despite Google’s assurances, the fact that Gemini is integrated into multiple platforms, such as Drive and Maps, raises questions about the true nature of user data privacy management. While the use of artificial intelligence can offer significant advantages in the efficiency and functionality of digital tools, it also poses the dilemma that tech companies require access to large volumes of data to optimize their learning models.
The reality is that many users are not fully aware of how their personal data is used, which underscores the need for greater transparency from companies. The struggle between technological innovation and the preservation of user privacy is a topic that will continue to capture attention in the near future, as tech giants navigate the turbulent waters of public trust.
Google has sued “Lighthouse Enterprise,” a major global fraudulent operation from China that facilitated the theft of millions of credit cards and hundreds of millions of dollars. In a federal lawsuit recently filed in the Southern District of New York, Google revealed its plans to sue a group of foreign criminals for carrying out a massive phishing-as-a-service (PhaaS) operation. According to the lawsuit, the group created and sold a phishing kit called Lighthouse, which allowed even novice criminals to create fake websites that mimicked trusted institutions. The kit, advertised […]
Google has sued “Lighthouse Enterprise,” a major global fraudulent operation from China that facilitated the theft of millions of credit cards and hundreds of millions of dollars.
In a federal lawsuit recently filed in the Southern District of New York, Google revealed its plans to sue a group of foreign criminals for carrying out a massive phishing operation as a service (PhaaS).
According to the lawsuit, the group created and sold a phishing kit called Lighthouse, which even allowed novice criminals to create fake websites that imitated trusted institutions. The kit, advertised through Telegram and YouTube, offered hundreds of templates and pre-made tools to launch large-scale smishing and e-commerce scams, and allowed users to create fake websites that impersonated government agencies, financial corporations, and, among others, Google.
💻 Google sued a Chinese hacker group that runs a phishing service called Lighthouse.
It tricked over 1 million people in 120 countries and made more than $1 billion using fake Google and USPS pages.
They sold the phishing kits — $88 a week to $1,588 a year.
Google has sued them for using the company’s logo and its identity
Google claims that, in a period of 20 days, the Lighthouse platform was used to create 200,000 fake websites, which targeted more than a million victims in 121 countries.
Citing researchers, Google estimates that between 12.7 and 115 million credit cards in the United States may have been compromised through Lighthouse-driven attacks.
The exact number of people involved in the operation is unknown. In the lawsuit, the individuals are labeled as “Doe” 1-25, although Google acknowledged that the actual number of people is likely much higher.
In some cases, criminals created fake text messages about the delivery of USPS packages or alerted victims about pending toll payments. Sometimes, they created fake online stores that stole users’ payment data and often used the stolen information to charge victims’ credit cards in digital wallets and make unauthorized payments.
Google is suing 25 people it alleges are behind a “relentless” scam text operation that uses a phishing-as-a-service platform called Lighthouse. https://t.co/xbHjwijp2L
Google claims that Lighthouse operators misused Google logos and trademarks, published ads through Google Ads, and even uploaded tutorials to YouTube showing how to carry out the scams.
Hackers damaged Google’s reputation, violated its terms of service, and forced it to spend hundreds of hours investigating and shutting down fraudulent accounts, the company concluded.
By the way, this is not the first time Google has sued Chinese citizens for cyber crimes, but most of the time the lawsuits lead to nothing, as China rarely extradites its citizens to the United States, especially when it comes to cyber crimes.
In its first hurricane season, Google’s revolutionary AI Deepmind not only matched decades of human experience but also surpassed the results of two of the world’s most advanced supercomputer models. As the National Hurricane Center and global weather forecasting agencies process the final verification data, the question is no longer whether AI can make weather predictions, but how long it will take for traditional methods to adapt or disappear completely. As the Atlantic hurricane season of 2025 comes to an end, the first assessments […]
In its first hurricane season, Google’s revolutionary AI Deepmind not only matched decades of human experience but also surpassed the results of two of the world’s most advanced supercomputer models.
As the National Hurricane Center and global weather forecasting agencies process the final verification data, the question is no longer whether AI can make weather predictions, but how long it will take for traditional methods to adapt or disappear completely.
As the 2025 Atlantic hurricane season comes to an end, the first assessments of model performance reveal a shift in the reliability of forecasts that could redefine meteorology.
With the Atlantic hurricane season nearly over, a new champion has emerged in predicting both track and intensity of hurricanes: Google DeepMind.
According to preliminary analysis by Brian McNoldy, a senior researcher at the University of Miami, Google's AI models had the lowest… pic.twitter.com/tXyCB1qBQH
AI can solve real technological challenges and save lives
The Meteorological Laboratory of Google DeepMind, which began issuing forecasts for tropical cyclones in June, has decisively outperformed traditional models based on physics used by national meteorological agencies.
Meteorologists and researchers reviewing the preliminary data claim that the results represent the first serious challenge in decades to the global dominance of numerical weather prediction systems, such as the Global Forecast System of the National Weather Service of the United States.
Google’s new weather model impressed during its first hurricane season https://t.co/ZSH8zj5Al6
The climate scientist from the University of Miami, Brian McNoldy, analyzed the accuracy of the predictions for 13 named storms during this season.
Their preliminary comparison shows that DeepMind’s AI model systematically produced lower average position errors than the U.S. GFS at prediction intervals of up to 5 days. According to their calculations, the tracking error of DeepMind at 120 hours was an average of 165 nautical miles, compared to 360 nautical miles for the GFS, which represents a difference of more than double.
The contrast is especially significant when considering the technical approaches behind each system. The GFS is based on explicit physical equations that simulate atmospheric movement in three dimensions, and it runs on large-scale supercomputers at NOAA with frequent data assimilation cycles.
The DeepMind system, on the other hand, is a neural network trained with decades of archived weather data, allowing it to infer atmospheric patterns statistically rather than from basic physical principles. Its architecture can provide forecasts in a matter of minutes on standard GPU clusters, eliminating the need for massive computational infrastructure.
Google DeepMind & Google Research are collaborating up with National Hurricane Center to improve cyclone forecasting using AI. Their new model predicts cyclone path, size and intensity faster and more accurately than traditional methods even spotting storms up to 7 days before. pic.twitter.com/YmbkyMmzPH
The DeepMind model not only surpassed the individual results of the GFS model, but also outperformed the official forecasts generated by humans and consensus models like TVCN and HCCA, which combine the results of multiple models to reduce bias.
If verified with the final statistics from the National Hurricane Center, these results would represent the first time that an AI system surpasses both automated forecasts and human consensus forecasts in the Atlantic basin.
The exceptional performance of DeepMind’s system raises questions about the long-term role of traditional numerical weather prediction. Physics-based models, such as the GFS, must integrate equations that describe fluid dynamics, radiation transfer, and thermodynamics at millions of grid points.
This process requires a great deal of computational power and often introduces numerical truncation errors. In contrast, data-driven neural models deduce the underlying dynamics directly from global reanalysis datasets, without the need for explicit equations.
These architectures belong to a class of AI methods known as “deep generative models,” capable of learning high-dimensional patterns. It is believed that the DeepMind framework uses optimized encoder-decoder functions for spatiotemporal prediction, allowing it to handle both tracking and intensity prediction within a single network architecture.
During this hurricane season, it has also shown reliable performance in estimating maximum wind speeds and pressure fluctuations, tasks that even sophisticated physics-based systems still handle inconsistently.
Meanwhile, the performance of the GFS this year has puzzled meteorologists. Although the model underwent a significant update in 2019 with the Finite-Volume Cubed-Sphere (FV3) dynamic core, the transition seems to have resulted in a regression rather than an improvement.
Lowry and others suggest that deficiencies in observational data, possibly related to federal budget cuts, may have exacerbated the problem, although that remains speculation. The National Weather Service has not yet published its internal assessment.
Recently, the harsh reality faced by some Google employees has come to light, despite working at one of the richest and most prestigious tech companies in the world. The widespread perception is that employment at giants like Google guarantees the resolution of financial problems, but the situation of many workers tells a different story. The case of Kento Morita highlights these difficulties. Morita, who joined Google’s artificial intelligence department, found himself at a crossroads upon discovering the exorbitant rental prices in the Mountain View area. An international housing problem […]
Recently, the harsh reality faced by some Google employees has come to light, despite working at one of the richest and most prestigious tech companies in the world.
The widespread perception is that employment at giants like Google guarantees the resolution of financial problems, but the situation of many workers tells a different story. The case of Kento Morita highlights these difficulties.
Morita, who joined Google’s artificial intelligence department, found herself at a crossroads upon discovering the exorbitant rental prices in the Mountain View area.
Kento Morita got a job at Google's main headquarters, but couldn't break his lease 300 miles away. Instead of paying for two apartments, he lived in his car on the Google campus for three months. It was a great way to kick-start his career https://t.co/qyOdCa66jA
With prices hovering around 3,600 dollars a month, the search for affordable housing has become a monumental challenge. Despite his job at Google, his income was not enough to maintain an adequate standard of living in the region.
Faced with this unsustainable reality, Morita chose an extreme solution: to live in his car. By using the campus facilities, such as restaurants with free food and gyms to shower, he managed to stay afloat temporarily. However, this situation was unsustainable.
Business Insider (ABD):
Google’da İşe Başladı ama Kirasını Ödeyemedi: 3 Ay Arabasında Yaşadı 🚗💻
🔹 2019’da Google’ın Mountain View kampüsünde iş bulan Kento Morita, Bay Area kiralarının yüksekliği nedeniyle üç ay boyunca arabasında yaşadı. “Sadece işe girebilirsem, gerisini… pic.twitter.com/mURLtEh0R1
After being discovered by a security guard, he was forced to leave the parking lot and moved to a caravan area, where many of his colleagues were also looking for alternatives to cope with the rental crisis.
Despite working at one of the most iconic companies in the world, the quality of life for some of its employees is poor and contradicts the idealized image that many have.
This phenomenon is not isolated; there is a growing group of workers who live in caravans and meet monthly to share their experiences and support each other in the face of the harshness of the real estate market in the area. Together, these stories reveal that the job dream at Google does not always translate into financial stability.
Google and Epic Games have proposed an agreement aimed at resolving their legal disputes regarding Play Store rules and transaction fees, a conflict that has garnered the attention of the tech industry. This agreement, which was presented to Judge James Donato of the U.S. District Court, requires his approval to take effect. If accepted, it would prevent Google from establishing exclusivity agreements with developers and would require the company to make modifications to Android to facilitate the installation of ‘Registered App Stores’ or registered app stores
Google and Epic Games have proposed an agreement aimed at resolving their legal disputes regarding Play Store rules and transaction fees, a conflict that has garnered the attention of the tech industry.
This agreement, which was presented before Judge James Donato of the U.S. District Court, requires his approval to take effect.
If accepted, it would prevent Google from establishing exclusivity agreements with developers and would require the company to make modifications to Android to facilitate the installation of ‘Registered App Stores’.
Epic and Google agree to settle their lawsuit and change Android’s fate globally https://t.co/esCT2ZQU5Z
The new approach, which would extend until 2032, also includes the proposal that Google limit transaction fees in the Play Store to a maximum of 9% or 20%, depending on the type of transaction, a change that could benefit developers by reducing their operating costs.
This agreement would replace a previous solution that had a validity of only three years, which, according to both companies, is a significant improvement for consumers.
Executives from both companies have expressed their enthusiasm for the agreement. Sameer Samat, president of Google’s Android ecosystem, stated on Twitter that the main goal is to expand options and flexibility for developers, promote healthy competition, and at the same time, ensure user security.
Exciting news! Together with Epic Games we have filed a proposed set of changes to Android and Google Play that focus on expanding developer choice and flexibility, lowering fees, and encouraging more competition all while keeping users safe. If approved, this would resolve our…
For his part, Tim Sweeney, CEO of Epic, emphasized that this proposal reinforces the vision of Android as an open platform, in contrast to Apple’s restrictive model, which has been involved in similar litigation.
The next step will be to discuss this proposal with Judge Donato, who previously issued a permanent injunction requiring changes in the Play Store. This proposal is expected to be a key step in redefining the app market on the Android platform and the relationship between Google and developers. The industry will be watching closely for the results of this important court meeting.
Google has launched a new tool that automatically transforms images and text from ads into videos for its Demand Generation campaigns. This functionality will apply to all ad groups that only contain images created before August 27. The generated videos will start being published automatically from October 31, unless advertisers choose to opt out of the process. October 31: deadline The new feature is designed to expand advertisers’ creative library without incurring additional production costs. By converting static ads into assets in […]
Google has launched a new tool that automatically transforms images and text from ads into videos for its Demand Generation campaigns. This feature will apply to all ad groups that only contain images created before August 27. The generated videos will start being published automatically from October 31, unless advertisers choose to opt out of the process.
October 31: deadline
The new feature is designed to expand advertisers’ creative library without incurring additional production costs. By converting static ads into video format assets, brands will be able to reach their audiences across various platforms, including YouTube, Shorts, and Discover. This is particularly relevant, as video formats tend to generate higher engagement and better performance in Demand Generation campaigns, resulting in greater exposure and flexibility for brands.
However, since this feature is activated automatically, advertisers are required to review and manage their assets before October 31. It is crucial to ensure that the videos generated by artificial intelligence align with the brand’s standards and messages to avoid any communication mismatches.
With this innovation, Google aims not only to optimize the way ads are presented but also to respond to the growing demand for dynamic content in the digital world. The transformation of static creatives into visual content can significantly increase the impact of campaigns, although it also gives advertisers a limited window to decide their participation. If these assets are not managed properly, there is a risk that the brand’s message will not be effectively communicated to its target audience.
Google has confirmed that it will begin implementing ads within AI Overviews in select English-speaking markets, beyond the United States, by the end of 2025. This functionality was recently announced during the Google Access event and marks a significant shift in how advertisers can reach users. New challenges for advertisers The AI Overviews, which provide AI-generated answers to complex and multifaceted queries, will allow ads to appear alongside these summaries, instead of the traditional text results. This approach represents a unique opportunity for […]
Google has confirmed that it will begin implementing ads within the AI Overviews in select English-speaking markets, beyond the United States, by the end of 2025. This functionality was recently announced during the Google Access event and marks a significant change in the way advertisers can reach users.
New challenges for advertisers
The AI Overviews, which provide AI-generated answers to complex and multifaceted queries, will allow ads to appear alongside these summaries, instead of traditional text results. This approach represents a unique opportunity for brands, as they will be able to integrate more directly into the search experience, but it also poses a challenge as it requires advertisers to rethink their strategies to optimize visibility and intent within a more conversational search environment.
The gradual implementation of this advertising format will allow advertisers and users to adapt to the new methods of ad placement and collect data on their performance in these new settings. This process could provide valuable insights into how artificial intelligence generation affects the visibility and performance of ads in searches.
As Frederik Boysen, CEO of Profitmetrics.io, highlighted, this change in advertising represents both an opportunity for greater interaction with users and a challenge for those who must optimize their strategies in a new market dynamic. As artificial intelligence becomes a central component of searches, advertisers must be prepared to adapt their approach to this new technological landscape.
Researchers from Tenable, a renowned cybersecurity company, have discovered three vulnerabilities in Gemini, the artificial intelligence tool developed by Google. This finding raises concerns among security experts, as Gemini is used in various applications that could be affected by these flaws. The revelation underscores the importance of security in the field of artificial intelligence, a sector that continues to grow and evolve rapidly. If you use Gemini, you could be putting your system at risk. The vulnerabilities identified in Gemini could allow an attacker to compromise the integrity of the system, accessing sensitive information or even taking control of […]
Researchers from Tenable, a renowned cybersecurity company, have discovered three vulnerabilities in Gemini, the artificial intelligence tool developed by Google. This finding raises concerns among security experts, as Gemini is used in various applications that could be affected by these flaws. The revelation underscores the importance of security in the field of artificial intelligence, a sector that continues to grow and evolve rapidly.
If you use Gemini, you could be putting your system at risk
The vulnerabilities identified in Gemini could allow an attacker to compromise the integrity of the system, gaining access to sensitive information or even taking control of applications dependent on this technology. Although the specific details about the vulnerabilities have not yet been fully disclosed, Tenable has indicated that they have taken steps to notify Google, which is currently assessing the related risks and working on possible solutions.
Gemini, as an artificial intelligence tool, is used in a wide range of applications, from chatbots to business automation processes. The versatility of this tool makes it an attractive target for malicious agents. With the growth of artificial intelligence, companies face increasingly greater challenges regarding the security of their systems.
Google is no stranger to security issues, having previously dealt with similar situations in other products. Timely responses to these vulnerabilities are crucial to maintaining user trust and safeguarding the technology that companies are increasingly beginning to rely on. Industry observers suggest that such incidents should serve as a wake-up call about the need to strengthen security measures in artificial intelligence tools.
The Share of Search has consolidated itself as a key performance indicator essential in the field of marketing, measuring the percentage of searches for a brand compared to its competitors. This KPI is crucial for determining consumer visibility and interest, as an increase in Share of Search often anticipates future market growth. A KPI to keep in mind from now on Unlike Market Share and Share of Voice, which focus on past sales and advertising respectively, Share of Search captures intent […]
The Share of Search has established itself as a key performance indicator essential in the field of marketing, measuring the percentage of searches for a brand compared to its competitors. This KPI is crucial for determining visibility and consumer interest, as an increase in Share of Search often anticipates future growth in the market.
A KPI to keep in mind from now on
Unlike Market Share and Share of Voice, which focus on past sales and advertising respectively, Share of Search captures the genuine intention of the consumer through searches. This implies that an increase in this indicator not only reflects a rise in brand awareness but can also drive future sales, as consumers tend to seek information about a product before making a purchase.
The rise of AI-based search tools is transforming the way brand visibility is discovered and evaluated. This is relevant because, although changes in search engines may complicate the measurement of Share of Search, this KPI remains a tangible reflection of consumer interest.
Marketing specialists must closely monitor the Share of Search trends of their competitors to adjust strategies before they affect their market share. This includes optimizing related search terms and employing strategic advertising campaigns. Additionally, accurate measurement of Share of Search can provide valuable insights that will drive informed and proactive decision-making, before changes in consumer perception negatively impact sales figures.
Ultimately, tools like Google Trends and Semrush can facilitate the tracking of Share of Search, allowing brands to identify improvement opportunities and effectively capture consumer attention.
