telemetry data

Winsage
July 23, 2025
Microsoft has declared that Windows 11 24H2 is the most reliable version of its operating system to date, supported by telemetry data from July 2025 showing a 24% decrease in unexpected restart failures compared to Windows 10 22H2. The traditional blue screen of death (BSOD) has been replaced with a black screen, which aims to reduce visual disruption and stress for users. This new screen presents a concise message with the stop code and information about the faulty driver, eliminating the frowny face and QR code. Additionally, a hexadecimal version of the stop code has been added for easier online searches for solutions. Microsoft is committed to improving reliability through collaborative efforts across engineering, design, and user research teams. There are also hidden functionalities in Windows 11 that users can explore for enhanced capabilities.
AppWizard
July 23, 2025
Security researchers at Trustwave SpiderLabs have identified a complex cluster of Android malware that combines click fraud, credential theft, and brand impersonation. This malware exploits the Android Package Kit (APK) file format to distribute malicious applications, often through phishing messages or deceptive websites. Users are tricked into installing these APKs, which are disguised as reputable brands or promotional apps. Once installed, the malware takes advantage of Android's permission model to access sensitive resources, primarily for click fraud and traffic redirection to generate illicit revenue. Some variants engage in data collection and credential harvesting, employing advanced evasion tactics to avoid detection, such as using counterfeit Chrome applications and overlay screens. A notable variant includes a spoofed Facebook app that mimics the official interface and connects to a remote command-and-control server for instructions. The malware uses encryption and encoding to secure data exchanges and employs open-source tools to bypass Android's signature verification. Evidence suggests that the operators may be Chinese-speaking, as indicated by the use of Simplified Chinese in the code and the promotion of related APK campaigns on Chinese-speaking underground forums.
AppWizard
July 22, 2025
Google has announced the general availability of its Gemini 2.5 Flash-Lite model, which is described as the most cost-efficient and fastest version in the 2.5 series. The pricing for this model is set at [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: What you need to know Google has officially unveiled the "general availability" of its Gemini 2.5 Flash-Lite model, a significant addition to its suite of AI offerings. This latest variant is touted as the most cost-efficient and fastest in the 2.5 series, promising to enhance productivity for developers and businesses alike. The pricing structure for this model is particularly appealing, with costs set at [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].10 per 1 million tokens for input and [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].40 for output. This pricing strategy aims to make advanced AI capabilities accessible to a broader range of users. Notably, Gemini 2.5 Flash-Lite has already been put to the test in real-world scenarios. Companies such as Satlyt have leveraged this model to expedite the summarization of telemetry data and process satellite information with remarkable speed. This development follows the preview stage initiated in June, coinciding with the public release of the 2.5 Flash and 2.5 Pro models within the Gemini app, Vertex AI, and AI Studio platforms. The culmination of Google's recent advancements in the 2.5 model lineup has arrived, marking a pivotal moment for the tech giant. In a communication to Android Central, Google confirmed that Gemini 2.5 Flash-Lite has transitioned from its testing phase to general availability. The announcement was further elaborated in a blog post on the Developers platform, emphasizing the model's speed and cost-effectiveness. With the introduction of Gemini 2.5 Flash-Lite, Google continues to build on its legacy of innovation. The company previously showcased its 2.5 Pro and 2.5 Flash models, which were made publicly available in June. This strategic rollout underscores Google's commitment to providing powerful AI tools that cater to the diverse needs of developers. For those seeking enhanced computational capabilities, the Gemini 2.5 Pro remains an option, ensuring that users can choose the level of power that best suits their requirements. As the landscape of AI continues to evolve, Google's latest offerings are poised to play a crucial role in shaping the future of technology." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].10 per 1 million tokens for input and [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: What you need to know Google has officially unveiled the "general availability" of its Gemini 2.5 Flash-Lite model, a significant addition to its suite of AI offerings. This latest variant is touted as the most cost-efficient and fastest in the 2.5 series, promising to enhance productivity for developers and businesses alike. The pricing structure for this model is particularly appealing, with costs set at [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].10 per 1 million tokens for input and [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].40 for output. This pricing strategy aims to make advanced AI capabilities accessible to a broader range of users. Notably, Gemini 2.5 Flash-Lite has already been put to the test in real-world scenarios. Companies such as Satlyt have leveraged this model to expedite the summarization of telemetry data and process satellite information with remarkable speed. This development follows the preview stage initiated in June, coinciding with the public release of the 2.5 Flash and 2.5 Pro models within the Gemini app, Vertex AI, and AI Studio platforms. The culmination of Google's recent advancements in the 2.5 model lineup has arrived, marking a pivotal moment for the tech giant. In a communication to Android Central, Google confirmed that Gemini 2.5 Flash-Lite has transitioned from its testing phase to general availability. The announcement was further elaborated in a blog post on the Developers platform, emphasizing the model's speed and cost-effectiveness. With the introduction of Gemini 2.5 Flash-Lite, Google continues to build on its legacy of innovation. The company previously showcased its 2.5 Pro and 2.5 Flash models, which were made publicly available in June. This strategic rollout underscores Google's commitment to providing powerful AI tools that cater to the diverse needs of developers. For those seeking enhanced computational capabilities, the Gemini 2.5 Pro remains an option, ensuring that users can choose the level of power that best suits their requirements. As the landscape of AI continues to evolve, Google's latest offerings are poised to play a crucial role in shaping the future of technology." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].40 for output. Companies like Satlyt have utilized the model for summarizing telemetry data and processing satellite information more quickly. Gemini 2.5 Flash-Lite entered its preview stage in June, alongside the public release of the 2.5 Flash and 2.5 Pro models.
Winsage
July 9, 2025
The Windows registry is a crucial part of Microsoft's operating system, recording various system operations. Users can modify the registry through the Registry Editor to enhance performance and user experience, but must do so cautiously to avoid system issues. To take ownership of files, users can add a "Take Ownership" option to the context menu by creating a .reg file. To restore the old Windows 10 context menu in Windows 11, a new key can be added in the Registry Editor. Power throttling can be disabled by creating a new key and DWORD value in the Registry Editor, improving performance for desktop users. Users can disable the Copilot feature by creating a specific key and DWORD value in the Registry Editor. To reduce telemetry data collection, a DWORD value can be set to 0 in the Registry Editor. It is recommended to back up files and create a Restore Point before making any registry changes, and to test risky tweaks on a virtual machine or secondary device.
Winsage
July 2, 2025
There has been a significant increase in the exploitation of Windows shortcut files (LNK files) for malware delivery, with malicious LNK samples rising from 21,098 in 2023 to 68,392 in 2024. LNK files, identifiable by their .lnk extension, allow users to access files and applications easily, but can also execute malicious content. Key fields in LNK files that indicate malicious intent include LINKTARGETIDLIST (99.53% of malicious LNK files), RELATIVEPATH (75.49%), and COMMANDLINEARGUMENTS (35.52%). LNK malware is categorized into four types: LNK exploits, malicious file execution, in-argument script execution, and overlay content execution. Indicators of compromise for LNK malware include specific SHA256 hashes for various samples.
Winsage
June 6, 2025
Simplewall is a rule-based firewall controller for Windows that enhances the Windows Filtering Platform (WFP) without replacing it. It allows users to manage network access for applications and services with a user-friendly interface, supporting advanced features like filtering rules by IP, port, or protocol. Users can create tailored profiles for different scenarios and have comprehensive control over network interactions, including blocking telemetry data and automatic updates. Simplewall is lightweight, portable, and operates without background processes or telemetry, ensuring a straightforward user experience. Setting up simplewall involves downloading it, extracting the files, and enabling filters, allowing users to establish a functional firewall profile quickly. While it offers many advantages, such as being open-source and compatible with older Windows versions, it may be overwhelming for beginners and lacks detailed app profiling compared to premium firewalls.
Winsage
May 29, 2025
Windows collects telemetry data, which includes hardware specifications, installed software, and system events, but does not reveal personally identifiable information. This data is encrypted and sent via HTTPS during significant events like system crashes. Users can manage optional data collection settings during initial setup or in the Privacy section of the Settings app, with enterprise versions offering more control. Mandatory data collection in Windows is more extensive than in macOS, while Linux has minimal data collection due to its decentralized structure. Users can disable some data collection, but some information will always be gathered unless advanced measures are taken.
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