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Aviatrix Threat Research Center
Cloud breaches are accelerating — across identities, workloads, supply chains, and cloud-native services. In the Containment Era, understanding how a breach unfolds is how you architect to stop it.
The Aviatrix Threat Research Center provides security teams with:
- A structured understanding of how breaches unfold — kill chain, ATT&CK techniques, CVEs, and IOCs in a consistent format.
- What attackers exploited, and which enforcement gaps let them move.
- Where workload-level controls would have broken the attack chain — including paths that posture tools and endpoint detection don't model.
Recent Breaches, Security Incidents & Vulnerabilities
AI-Powered Threat Analysis
Agentic AI that analyzes real-world attacks — across security incidents, breaches, and exploited vulnerabilities — to produce structured, actionable intelligence.
Displaying 3025 to 3036 of 5196
Intruder 2026: Unveiling Exposed Secrets in JavaScript Bundles
In December 2025, Intruder's research team conducted a comprehensive scan of 5 million applications, uncovering over 42,000 exposed tokens hidden within JavaScript bundles. These tokens included sensitive credentials such as code repository access tokens and project management API keys, many of which were active and provided unauthorized access to critical systems. The exposure was attributed to limitations in traditional security tools, which often fail to detect secrets embedded in front-end code, particularly within single-page applications. This incident underscores the urgent need for enhanced secrets detection methods that can effectively identify and mitigate such vulnerabilities in modern web applications.
5 months ago
Kill Chain
Chinese Hackers Exploit Dell Zero-Day Vulnerability in 2024
In mid-2024, the Chinese state-sponsored hacking group UNC6201 began exploiting a critical vulnerability (CVE-2026-22769) in Dell's RecoverPoint for Virtual Machines, a solution integral to VMware virtual machine backup and recovery. This hardcoded credential flaw allowed unauthenticated remote attackers to gain unauthorized access to the underlying operating system, achieving root-level persistence. Once inside, UNC6201 deployed advanced malware, including the Grimbolt backdoor, and utilized novel techniques like creating hidden network interfaces ('Ghost NICs') on VMware ESXi servers to move stealthily across networks. ([bleepingcomputer.com](https://www.bleepingcomputer.com/news/security/chinese-hackers-exploiting-dell-zero-day-flaw-since-mid-2024/?utm_source=openai))This incident underscores the persistent threat posed by state-sponsored actors targeting critical infrastructure through zero-day vulnerabilities. The exploitation of such flaws highlights the necessity for organizations to maintain rigorous patch management and continuous monitoring to detect and mitigate sophisticated cyber threats.
5 months ago
Kill Chain
Critical Vulnerabilities in Popular VSCode Extensions Expose Developers to Attacks
In February 2026, critical vulnerabilities were discovered in several widely-used Visual Studio Code (VSCode) extensions, including Live Server, Code Runner, Markdown Preview Enhanced, and Microsoft Live Preview. These extensions, collectively downloaded over 128 million times, contained flaws that could be exploited to steal local files and execute remote code. The vulnerabilities were identified by Ox Security, which attempted disclosure since June 2025 without receiving responses from the maintainers. ([bleepingcomputer.com](https://www.bleepingcomputer.com/news/security/flaws-in-popular-vscode-extensions-expose-developers-to-attacks/?utm_source=openai)) This incident underscores the escalating risks associated with third-party development tools and the necessity for rigorous security assessments of IDE extensions. The widespread adoption of these vulnerable extensions highlights the potential for significant supply chain attacks targeting developers and organizations.
5 months ago
Kill Chain
Microsoft Uncovers AI Recommendation Poisoning Threat
In February 2026, Microsoft disclosed a new cyber threat termed 'AI Recommendation Poisoning,' where businesses embed hidden instructions within 'Summarize with AI' buttons on their websites. When users click these buttons, the AI assistant's memory is manipulated via URL prompt parameters to favor certain companies or products in future recommendations. Over a 60-day period, Microsoft identified over 50 unique prompts from 31 companies across 14 industries, raising concerns about the integrity of AI-driven insights. This technique mirrors traditional search engine optimization (SEO) manipulation but targets AI systems directly, potentially leading to biased recommendations in critical areas such as health, finance, and security without user awareness. The emergence of AI Recommendation Poisoning underscores the evolving landscape of cyber threats targeting artificial intelligence systems. As AI becomes increasingly integrated into decision-making processes, ensuring the neutrality and reliability of AI outputs is paramount. Organizations must implement robust security measures to detect and prevent such manipulations to maintain trust in AI-driven recommendations.
5 months ago
Kill Chain
SmartLoader's Exploitation of Oura MCP Server: A 2026 Supply Chain Attack
In February 2026, cybersecurity researchers uncovered a sophisticated supply chain attack involving the SmartLoader malware. Threat actors cloned the legitimate Oura Model Context Protocol (MCP) Server—a tool connecting AI assistants to Oura Ring health data—and distributed a trojanized version through deceptive GitHub repositories. This malicious server delivered the StealC infostealer, enabling attackers to exfiltrate credentials, browser passwords, and cryptocurrency wallet data from compromised systems. The attackers meticulously built credibility by creating fake GitHub accounts and repositories, submitting the trojanized server to legitimate MCP registries, and excluding the original author from contributor lists, thereby deceiving users into downloading the compromised software. This incident underscores a growing trend where threat actors exploit trusted platforms and tools to infiltrate systems. The methodical approach of building credibility over months highlights the evolving sophistication of supply chain attacks, emphasizing the need for organizations to rigorously verify the authenticity of software sources and implement robust security reviews before integrating third-party tools.
5 months ago
Kill Chain
Keenadu Backdoor: A Deep Dive into the 2026 Android Firmware Compromise
In February 2026, Kaspersky researchers uncovered a firmware-level backdoor named Keenadu embedded in Android tablets from multiple manufacturers, including Alldocube. This malware, integrated during the firmware build process, injects itself into the Zygote process, granting attackers extensive control over the device. Keenadu enables remote execution of malicious payloads, such as hijacking browser searches, monetizing app installations, and interacting with advertising elements. The backdoor has been detected in firmware dating back to August 2023, affecting over 13,700 users worldwide, with significant concentrations in Russia, Japan, Germany, Brazil, and the Netherlands. The discovery of Keenadu underscores the escalating threat of supply chain attacks targeting device firmware. This incident highlights the critical need for manufacturers to secure their development processes and for consumers to remain vigilant about device integrity. The integration of malware at such a fundamental level poses significant challenges for detection and removal, emphasizing the importance of robust security measures throughout the supply chain.
5 months ago
Kill Chain
AI Assistants Abused as Command-and-Control Proxies in Recent Cyberattacks
In February 2026, cybersecurity researchers disclosed a novel attack technique where AI assistants with web browsing capabilities, such as Microsoft Copilot and xAI Grok, were exploited as covert command-and-control (C2) proxies. This method, termed 'AI as a C2 proxy' by Check Point Research, allows attackers to blend malicious traffic with legitimate enterprise communications, thereby evading detection. The attack leverages anonymous web access combined with browsing and summarization prompts to create a bidirectional channel for data exfiltration and command execution. This development underscores the evolving threat landscape, where AI systems are not only tools for enhancing productivity but also potential vectors for sophisticated cyberattacks. The ability to abuse AI assistants as C2 proxies highlights the need for organizations to reassess their security postures, especially concerning the integration and use of AI technologies within their networks.
5 months ago
Kill Chain
Whisper Leak: Unveiling Side-Channel Vulnerabilities in LLMs
In November 2025, researchers Geoff McDonald and Jonathan Bar Or identified a side-channel vulnerability in Large Language Models (LLMs) termed 'Whisper Leak.' This attack exploits patterns in encrypted network traffic—specifically packet sizes and timing—to infer user prompt topics during LLM interactions. Despite TLS encryption, these metadata patterns allow adversaries to classify conversation topics with high accuracy, posing significant privacy risks. The study demonstrated the attack's effectiveness across 28 popular LLMs, achieving near-perfect classification rates and high precision even in scenarios with extreme class imbalance. ([microsoft.com](https://www.microsoft.com/en-us/research/publication/whisper-leak-a-side-channel-attack-on-large-language-models/?utm_source=openai)) The discovery of Whisper Leak underscores the urgent need for LLM providers to address metadata leakage vulnerabilities. As LLMs are increasingly deployed in sensitive domains such as healthcare and legal services, ensuring robust privacy protections is paramount. The researchers evaluated mitigation strategies like random padding, token batching, and packet injection; however, none provided complete protection, highlighting the complexity of securing LLM communications against side-channel attacks. ([microsoft.com](https://www.microsoft.com/en-us/research/publication/whisper-leak-a-side-channel-attack-on-large-language-models/?utm_source=openai))
5 months ago
Kill Chain
Serbian Authorities' Misuse of Cellebrite Tools in 2024: A Wake-Up Call for Digital Privacy
In December 2024, Amnesty International reported that Serbian police and intelligence agencies misused Cellebrite's digital forensic tools to unlawfully extract data from mobile devices belonging to journalists and activists. The authorities employed these tools to unlock devices without consent, facilitating the installation of spyware like NoviSpy during detentions and interrogations. This surveillance campaign targeted individuals critical of government policies, leading to significant privacy violations and suppression of civil society. ([amnesty.org](https://www.amnesty.org/en/latest/news/2024/12/serbia-authorities-using-spyware-and-cellebrite-forensic-extraction-tools-to-hack-journalists-and-activists/?utm_source=openai)) The incident underscores the potential for abuse of digital forensic technologies when deployed without stringent oversight. It highlights the urgent need for robust legal frameworks and ethical guidelines to prevent the misuse of such tools against civil society and to protect fundamental human rights.
5 months ago
Kill Chain
Salesloft Drift Breach 2025: A Wake-Up Call for SaaS Security
In August 2025, Salesloft's Drift application suffered a significant security breach when attackers exploited compromised OAuth tokens to access and exfiltrate data from over 700 organizations' Salesforce instances. The breach exposed sensitive information, including customer contact details, support case data, and, in some cases, credentials such as AWS access keys and passwords. Prominent companies like Cloudflare, Zscaler, and Palo Alto Networks were among those affected. The attackers, identified as the group "Scattered Lapsus$ Hunters," demanded nearly $1 billion in ransom to prevent the public release of the stolen data. This incident underscores the critical vulnerabilities associated with third-party integrations and the importance of robust security measures to protect against supply chain attacks.
5 months ago
Kill Chain
Understanding the 2026 ClickFix DNS PowerShell Attack
In February 2026, a new variant of the ClickFix social engineering attack emerged, exploiting DNS queries to deliver malicious payloads. Attackers deceived users into executing an 'nslookup' command via the Windows Run dialog, which queried an attacker-controlled DNS server. The server responded with a DNS record containing a malicious PowerShell script, leading to the installation of malware, including the remote access trojan ModeloRAT. This method allowed attackers to blend malicious activities within normal DNS traffic, evading traditional detection mechanisms. This incident underscores the evolving sophistication of social engineering attacks, highlighting the need for heightened awareness and advanced security measures. The use of DNS as a delivery mechanism signifies a shift in attacker tactics, emphasizing the importance of monitoring DNS traffic and educating users about the risks of executing unsolicited commands.
5 months ago
Kill Chain
ShinyHunters Expose 600K Canada Goose Customer Records in 2026 Data Breach
In February 2026, the cybercriminal group ShinyHunters claimed responsibility for exfiltrating over 600,000 customer records from Canada Goose, a luxury outerwear brand. The compromised data includes personal information such as names, email addresses, phone numbers, billing and shipping addresses, IP addresses, and order histories. Additionally, partial payment card information, including card brands and the last four digits of card numbers, was exposed. Canada Goose has stated that the dataset appears to relate to past customer transactions and that there is no evidence of a breach of its own systems. The company is currently reviewing the dataset to assess its accuracy and scope. This incident underscores the persistent threat posed by data extortion groups like ShinyHunters, who have been linked to numerous high-profile breaches targeting e-commerce platforms and cloud environments. Organizations are urged to enhance their cybersecurity measures, particularly in securing customer data and monitoring third-party service providers, to mitigate the risk of such attacks.
5 months ago
Kill Chain
Security Research & Insights
Security Research & Insights with human-led deep dives into campaigns and cloud-native TTPs
OpenAI Lost Control of Its Models. Then Anthropic Did Too. That Is Not a Coincidence.
Attackers Learned to Use AI. Now They Built Tools to Destroy It.
Living-off-the-Agent: How AI Tool Misuse Became the Insider Threat Nobody Provisioned
Market Perspectives
Market Perspectives offering expert commentary and select breach analysis from industry leaders
What Could Have Stopped the 2023 MGM Breach? A Study in the Power of Embedded Zero Trust
The Zero Trust Gap: Only 8% of US Enterprises Use Zero Trust Architectures
HITRUST CSF Compliance in the Cloud—How Aviatrix Secures Healthcare Data
How CNSF Protects Cloud Workloads
Cloud attackers don’t rely on a single exploit — they rely on paths.
Once inside, attackers move laterally between workloads, establish command-and-control through egress paths, and exfiltrate data through legitimate cloud services — often before detection tools generate an alert. These paths exist because most security architectures enforce at centralized inspection points, not at every workload. The paths that matter most are the ones that never reach a central firewall.
Aviatrix Cloud Native Security Fabric (CNSF) contains attacks by enforcing policy at every workload communication path — containing blast radius, blocking lateral movement, and cutting off egress before data leaves the environment.
With CNSF, enterprises can:
- Contain attack paths at runtime
Gain visibility into east-west and egress workload communication and apply controls that limit lateral movement, unauthorized egress, and uncontrolled trust expansion.
- Eliminate blind spots in workload-to-workload traffic
Observe traffic across VPCs/VNets, regions, and cloud providers using cloud native telemetry — including paths that posture tools and point controls don’t model.
- Secure modern and AI-driven workloads
Understand how agents, services, and workloads communicate at runtime, and enforce policy to reduce the risk of misuse, over-privileged access, or unintended data flows.
- Apply consistent Zero Trust controls without slowing teams
Enforce segmentation, egress control, and encryption centrally across clouds — without agents, application changes, or developer friction.
See Your Attack Paths. Close the Gaps with CNSF.
Blast radius starts where your enforcement stops.
Most security architectures enforce at centralized inspection points. Attackers move between workloads on paths that never reach those points — building blast radius invisibly until detection tools fire, often too late.
Your assessment delivers:
The Aviatrix Workload Attack Path Assessment (WAPA) analyzes real workload communication using cloud native telemetry to uncover attack paths already present in your environment — and shows how Cloud Native Security Fabric (CNSF) can break those paths with runtime enforcement.
The threat landscape has changed.
Has your question changed with it?
In March 2026, TeamPCP proved that detection-first architectures cannot contain attacks that move through trusted code, not around defenses. Today’s threat actors don’t break in — they log in, blend in, and expand silently. This command center tracks the evolving threat landscape and helps you measure your Blast Radius — the architectural metric that defines resilience in the Containment Era.
This command center tracks 8 active campaigns and measures your Blast Radius: what an attacker can reach once inside your environment.
Contain the Blast Radius
See the attack paths already present in your environment — and where CNSF containment controls would break them.
