telemetry Archives

Tech Optimizer

September 28, 2026

The Fault Line Spreads: Azure’s September CVE Cluster Now Covers PostgreSQL and Billing

Two newly identified Critical CVEs have expanded Microsoft's September identity infrastructure vulnerabilities to over ten verified weaknesses across more than ten distinct services. The Azure Database for PostgreSQL is vulnerable to CVE-2026-85878, an Improper Authorization flaw (CWE-285) with a CVSS score of 9.9. Azure Billing is impacted by CVE-2026-62874, which presents an Insufficient Data Authenticity Verification issue (CWE-345) with a CVSS score of 10.0. Both vulnerabilities were disclosed on September 18 and validated by Tenable and MITRE. CVE-2026-85878 allows an authorized attacker to elevate privileges over the network with minimal complexity, while CVE-2026-62874 requires no authentication, enabling unauthenticated attackers to jeopardize financial integrity. The vulnerability cluster first emerged during the Patch Tuesday cycles on September 3 and September 8, with initial reports highlighting critical flaws in core services. Other September disclosures include CVE-2026-83711 (Azure AD B2C, CVSS 10.0), CVE-2026-70352 (Azure AI Language, CVSS 10.0), CVE-2026-83941 (Entra ID, CVSS 9.9), CVE-2026-62916 (Entra ID, CVSS 9.1), CVE-2026-69857 (Azure Cosmos DB, CVSS 8.5), and CVE-2026-69854 (Spring Cloud Azure, CVSS 9.0). Activity heightened between September 17 and 18 with the introduction of CVE-2026-77903 (Microsoft Dataverse, CVSS 9.0) and CVE-2026-69843 (Microsoft Fabric, CVSS 10.0). The attack surface has broadened from authentication concerns to encompass trust in AI endpoints, data storage locations, and billing verification processes. Seven out of the ten vulnerabilities are unauthenticated, and all issues were addressed through server-side fixes by Microsoft. The extensive range of affected services suggests these vulnerabilities indicate a shared architectural dependency on authentication logic.

Winsage

September 23, 2026

Cisco Talos Discloses Autonomous Windows Malware: Four AI Models Direct Each Attack

Cisco Talos has disclosed a new Windows implant called CLOSEDQUORUM, which operates without human operators by using four commercial large language models (LLMs) to autonomously decide on actions after deployment. The implant is a 16.4-megabyte executable that conducts reconnaissance on the target system and sends structured prompts to the LLMs, which respond with one of four actions: steal, inject, persist, or move. When the "steal" action is chosen, it simultaneously attacks three credential stores, extracting Windows credentials, browser passwords, and cryptocurrency wallet data. The "inject" action uses either Early Bird APC injection or process hollowing based on model recommendations. For persistence, it employs three overlapping mechanisms, including a Registry Run key, a scheduled task, and a WMI event subscription. To evade detection, CLOSEDQUORUM suppresses ETW telemetry and introduces delays before executing actions. It circumvents traditional command-and-control structures by calling legitimate API endpoints, making blocking these domains impractical. Talos introduced the CAIRN toolkit for detecting AI-integrated malware, which operates on metadata and employs rule-based detection. Unlike previous AI-assisted malware, CLOSEDQUORUM automates decision-making processes entirely, highlighting a significant evolution in malware capabilities. Security teams are advised to focus on behavioral detection strategies and utilize the YARA rule and CAIRN toolkit for identifying this threat.

Winsage

September 23, 2026

Cisco Talos Discloses Autonomous Windows Malware: Four AI Models Direct Each Attack

Cisco Talos has disclosed a Windows implant called CLOSEDQUORUM, which automates cyberattack execution using four advanced commercial large language models: DeepSeek, Qwen, Mistral, and Google Gemini. The implant is a 16.4-megabyte executable that conducts reconnaissance on the system and formats the gathered data into prompts for the AI models. Each model votes on one of four actions: steal, inject, persist, or move, with the action receiving the most votes being executed. When stealing, CLOSEDQUORUM targets three credential stores, dumping LSASS memory and retrieving saved passwords from browsers and cryptocurrency wallets. The stolen data is encrypted and sent to the operator via Discord. For injection, it uses Early Bird APC injection or process hollowing based on model responses. The persist action creates three mechanisms for longevity, including a Registry Run key, a scheduled task, and a WMI event subscription. CLOSEDQUORUM evades detection by suppressing ETW telemetry and delaying activity to avoid sandbox analyses. It connects to legitimate API endpoints, making blocking ineffective without disrupting enterprise applications. Talos recommends behavioral combination detection strategies and the use of a YARA rule for detection. The CAIRN toolkit has been introduced to detect AI-integrated malware without executing binaries. Unlike previous AI-assisted malware, CLOSEDQUORUM removes human decision-making from the attack process.

AppWizard

September 23, 2026

Expert Opinions and Insights from the Tech Industry

The Android development community has historically addressed memory optimization reactively, but new performance requirements from Google Play, effective February 2027, emphasize proactive memory management. These requirements include metrics for dynamic memory usage, bitmap memory, and DEX code optimization, with apps needing at least 25% optimization coverage. Memory usage can now hinder releases even without local crash replication, necessitating its integration into the pre-production process alongside other performance metrics. Dynamic memory usage is defined as anonymous RSS plus swap, excluding file-backed data. Google Play will evaluate this across different application states and device performance categories. Bitmap memory is scrutinized for the retention of invisible bitmaps, and DEX optimization aims to reduce memory footprint and improve performance. Investigating memory growth involves using Android Studio’s Memory Profiler to monitor memory changes during specific user flows and conducting heap dumps to identify retained objects. Issues often arise from retained state, where components hold onto callbacks that reference image data, necessitating a focus on lifecycle management rather than merely cache size. Bitmap memory should be carefully managed, as the decoded size can significantly exceed the compressed file size. Downsampling images to match UI dimensions is crucial. Memory checks should occur before production, with a focus on establishing a memory budget based on actual measurements and defining representative memory scenarios for testing. A pre-release memory checklist includes running user flows repeatedly, testing on various devices, inspecting heap dumps, examining image configurations, and reviewing optimization metrics. Monitoring Android vitals and Play Console warnings is essential to detect potential issues before they lead to user-reported crashes.

AppWizard

September 21, 2026

When Memory Becomes a Release Metric: Preparing Android Apps for Google Play’s New Limits

In August 2026, Google Play announced new performance requirements for memory management that will be enforced starting February 2027. These requirements include metrics for dynamic memory usage, bitmap memory, and DEX code optimization. Applications that exceed these thresholds may face reduced visibility and publishing capabilities on the platform. Dynamic memory usage is defined as the sum of anonymous RSS and swap, excluding file-backed data. Google is focused on whether applications retain non-visible bitmaps and requires at least 25% coverage in DEX optimization. Memory issues can be difficult to reproduce, and developers are encouraged to use Android Studio’s Memory Profiler to investigate memory growth. A thorough investigation involves monitoring memory changes, taking heap dumps, and understanding reference paths. Bitmap memory should be carefully managed, as the runtime cost of images can exceed their file size. Google will provide real-world memory metrics through the Play Console, and teams are advised to establish memory budgets and perform pre-release checks to identify potential issues before they lead to out-of-memory (OOM) crashes.

AppWizard

September 20, 2026

Don’t buy a $500 dumbphone. These apps will make your Android phone calm

The growing interest in minimalist phones, or "dumbphones," is prompting users to seek ways to transform existing smartphones into more focused devices. Key strategies include managing notifications by turning off alerts for most apps and allowing only essential updates, utilizing app blockers like Switchly to limit distractions from social media, and employing BlockAds to eliminate intrusive ads. Users can also opt for minimalist, ad-free versions of apps, such as the Fossify suite for essential functions and Breezy Weather for weather updates. Customizing the home screen to reduce clutter, such as simplifying it to a single page and disabling unnecessary widgets, can further enhance focus. Additionally, customizing popular apps like Chrome, Gmail, and Google Maps by disabling features and notifications helps create a calmer experience. Overall, intentional choices and the right tools can lead to a more serene smartphone environment.

Tech Optimizer

September 18, 2026

Best Free Antivirus for Windows 2026: 6 to Install, 1 to Skip

Avast Free Antivirus is recognized as the best free antivirus solution for Windows in 2026, achieving a perfect score from AV-TEST. It operates on the same engine as paid versions, providing comprehensive protection. Other notable free antivirus options include Bitdefender Antivirus Free, which is efficient for older systems; Microsoft Defender, a built-in option with solid protection; AVG AntiVirus Free, suited for older hardware; Avira Free Security, which includes additional tools; and Malwarebytes Free, best for cleaning infections. Each product generates revenue through upselling or data collection. Avast scored 99.78% in detection tests, while Bitdefender achieved 97.6%, and Microsoft Defender reached 99.93%. AVG matched Avast with a 99.97% protection rate, and Avira recorded 99.96%. Malwarebytes had a detection rate of 99.57%. Kaspersky is noted as a product to avoid due to misleading trial offers.

Winsage

September 17, 2026

Microsoft explained why Windows 11 dropped these Windows 10 features

Windows 11 was released in 2021 and received mixed reactions, with users noting the removal of several familiar features from Windows 10. The taskbar was locked in place, preventing repositioning, and the ability to drag files onto taskbar applications was initially absent but restored within a year. The Start menu lost flexible resizing options, and Microsoft faced challenges in transferring established features due to the new framework. By 2026, Microsoft announced changes allowing users to relocate the taskbar, responding to user demand. The Start menu remained less flexible than its predecessor, leading to user frustration. Microsoft acknowledged the need for a movable taskbar, which was implemented in a preview by May 2026, coinciding with the September 2026 Patch Tuesday update. The integration of AI into development processes has accelerated feature implementation, but also introduced new stability issues.

Tech Optimizer

September 15, 2026

AI Is Changing Antivirus From File Matching to Behaviour-Based Malware Detection

Artificial intelligence is transforming malware detection by moving away from traditional file signature reliance to analyzing program actions. Antivirus software previously used signatures to identify known threats, but the rapid emergence of over 450,000 new malware samples daily complicates this method. Attackers now employ techniques like repacking and encryption to evade detection, prompting the need for machine-learning and behavioral techniques for better protection. Modern detection systems assess multiple characteristics of executable files, including their behavior, to identify potential threats, even if they lack recognized signatures. Microsoft's Project Ire exemplifies advanced detection capabilities, functioning as an automated malware analyst that evaluates unknown binaries based on their behavior. Additionally, modern endpoint-security products leverage cloud systems to analyze data from multiple devices, enhancing threat detection through shared intelligence. However, AI detection can still produce false positives and is susceptible to manipulation by attackers. Therefore, effective security systems require a combination of traditional measures, behavioral monitoring, machine learning, and human analysis to navigate complex threats.

Tech Optimizer

September 14, 2026

Top 10 Best Endpoint Encryption Software in 2026

The encryption landscape has shifted significantly, with Microsoft’s BitLocker and Apple’s FileVault becoming the primary free and integrated solutions for disk encryption. Organizations are encouraged to focus on comprehensive management capabilities rather than just acquiring encryption technology. Key management, compliance proof for auditors, and consistent policy enforcement across devices are critical. Native encryption solutions do not provide fleet-wide compliance, centralized key escrow, or advanced pre-boot authentication options. Various management models exist for different organizational needs, including options from Microsoft, Sophos, ESET, Trend Micro, Check Point, Trellix, WinMagic, Broadcom (Symantec), Dell, and Kaspersky. It is essential to ensure proper key management and recovery procedures before enforcing encryption to avoid data loss. Organizations should verify claims of compatibility and effectiveness of encryption solutions, especially regarding pre-boot authentication and cryptographic standards. Native encryption solutions are free, but management layers typically incur costs. Open-source solutions like VeraCrypt lack necessary management features, making them impractical for businesses.