STRUCTURED THREAT INTELLIGENCE FOR THE CLOUD COMMUNITY

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.
Kill Chain Coverage
ATT&CK Mapped
Real-World IOCs
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Threat ReportsLive Intelligence

Recent Breaches, Security Incidents & Vulnerabilities

A unified view of real-world cloud threats — combining AI-powered analysis, security research, and expert perspectives through a consistent, cloud-specific framework.

AI-Powered Threat Analysis

Agentic AI that analyzes real-world attacks — across security incidents, breaches, and exploited vulnerabilities — to produce structured, actionable intelligence.

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Displaying 649 to 660 of 6838 threat reports

Shadow AI Security Crisis: How 80,000+ Organizations Lost Control of AI Credentials
Shadow AI Security Crisis: How 80,000+ Organizations Lost Control of AI Credentials

Shadow AI Security Crisis: How 80,000+ Organizations Lost Control of AI Credentials

In August 2026, a massive credential theft campaign targeting AI platforms exposed over 80,000 organizations worldwide, with infostealers harvesting login credentials and session tokens from employees' personal devices. The attack primarily targeted ChatGPT users but also affected Claude, Hugging Face, Replit, and other AI services, with stolen credentials being sold on underground markets for unauthorized access and billing fraud. SOCRadar's research revealed that 68% of affected organizations were billion-dollar enterprises across 36 countries, with attackers gaining access to conversation histories containing sensitive corporate data, API keys, and OAuth tokens with standing permissions to other enterprise systems. This incident highlights the critical security risks of shadow AI adoption as organizations increasingly rely on AI assistants for business operations. The theft demonstrates how unmanaged AI tool usage creates new attack vectors for data exfiltration and unauthorized access to corporate resources, making AI platforms as critical as identity providers in enterprise security strategies.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Critical Citrix NetScaler Vulnerabilities Under Active Attack: What Security Teams Need to Know
Critical Citrix NetScaler Vulnerabilities Under Active Attack: What Security Teams Need to Know

Critical Citrix NetScaler Vulnerabilities Under Active Attack: What Security Teams Need to Know

CISA added two critical Citrix NetScaler ADC and Gateway vulnerabilities (CVE-2026-88771 and CVE-2026-88772) to its Known Exploited Vulnerabilities catalog following reports of active global exploitation. CVE-2026-88771 (CVSS 9.5) allows unauthenticated remote code execution through improper input validation in a Perl script, while CVE-2026-88772 (CVSS 9.5) enables RCE via memory buffer operations when DTLS is enabled. Attackers are exploiting these flaws to achieve root-level access on vulnerable NetScaler appliances, potentially compromising enterprise network infrastructure and VPN gateways. This incident highlights the continued targeting of network appliances as critical attack vectors, particularly as organizations expand their hybrid cloud deployments and remote access infrastructure. The pre-authentication nature of these exploits makes them especially dangerous for threat actors seeking initial network footholds.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
JadePuffer's AI-Powered Ransomware: The Future of Automated Cloud Attacks
JadePuffer's AI-Powered Ransomware: The Future of Automated Cloud Attacks

JadePuffer's AI-Powered Ransomware: The Future of Automated Cloud Attacks

In June 2026, the JadePuffer ransomware operator (tracked by Microsoft as Storm-3168) conducted sophisticated AI-driven attacks against Azure cloud tenants using compromised service principals. The threat actor employed autonomous AI agents to automate the entire attack chain, including reconnaissance, credential theft, lateral movement, and destructive operations targeting over 100 storage accounts, Key Vaults, Function Apps, and Virtual Machines. The destructive phase lasted only seven minutes, with attackers systematically removing backup protections and attempting to make recovery more difficult to support potential ransomware extortion. This incident represents a critical evolution in ransomware tactics, demonstrating how threat actors are weaponizing AI agents to accelerate and scale cloud-native attacks. The emergence of agentic AI in cybercrime signals a new era of automated, intelligent threats that can operate at machine speed against cloud infrastructure.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
How 16,000+ Misconfigured Supabase Databases Exposed Critical Data in 2026
How 16,000+ Misconfigured Supabase Databases Exposed Critical Data in 2026

How 16,000+ Misconfigured Supabase Databases Exposed Critical Data in 2026

In September 2026, cybersecurity researchers at UpGuard discovered over 16,000 misconfigured Supabase databases exposing sensitive data including personally identifiable information, passwords, and authentication tokens. The exposures affected diverse organizations globally, from a U.S. valet service with 100,000+ customer records to a Canadian immigration service with nearly 5,000 user records including 884 plaintext passwords. Researchers attributed these widespread misconfigurations to poor application security settings, missing row-level security policies, and the increasing use of AI-assisted development tools that create databases without proper security awareness from developers. This incident highlights the growing security risks associated with AI-powered development platforms and cloud database misconfigurations. As AI-assisted coding becomes more prevalent, accounting for over 60% of new Supabase databases, the potential for systematic security oversights increases dramatically, making comprehensive cloud security posture management and zero-trust architectures more critical than ever.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
ShinyHunters Investigation: Dutch Police Arrest Highlights Persistent Cybercrime Threats
ShinyHunters Investigation: Dutch Police Arrest Highlights Persistent Cybercrime Threats

ShinyHunters Investigation: Dutch Police Arrest Highlights Persistent Cybercrime Threats

Dutch police arrested 24-year-old Amsterdam resident Pepijn van der Stap in September 2026 as part of an ongoing investigation into the ShinyHunters cybercriminal group. Van der Stap, previously known online as 'Umbreon,' was already on probation from a 2023 conviction for hacking and extorting over a dozen companies worldwide. Authorities are examining potential connections between his 'Umbreon' identity and recent ShinyHunters campaigns, including alleged FBI breaches and attacks on the Clop ransomware gang's infrastructure. The arrest involved a tactical police unit search of his Amsterdam residence and seizure of electronic devices. This incident highlights the persistent threat of repeat cybercriminals and the challenges law enforcement faces in dismantling organized hacking groups like ShinyHunters, which continue high-profile data breaches and extortion campaigns despite increased scrutiny and arrests of suspected members.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Times Car Breach Exposes 6.6 Million Accounts: Automotive Industry Under Siege
Times Car Breach Exposes 6.6 Million Accounts: Automotive Industry Under Siege
Automotive1 month ago

Times Car Breach Exposes 6.6 Million Accounts: Automotive Industry Under Siege

Times Car, Japan's major vehicle rental and mobility service, confirmed a cyberattack in September 2026 that compromised 6.6 million user accounts. The breach, discovered on September 25, exposed personal information including names, addresses, driver's license data, and identity verification documents of current and former members. While passwords were stored in encrypted form and credit card information remained unaffected, the incident represents one of Japan's largest automotive sector data breaches. Times Car blocked unauthorized access on September 26 and initiated forensic investigation with external experts while maintaining normal service operations. This incident highlights the escalating threat to mobility and automotive platforms as digital transformation accelerates across transportation sectors, with attackers increasingly targeting customer databases containing sensitive identity verification documents and location data.

High impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Bitget's $388M Loss Exposes Critical Third-Party Security Risks in Crypto Exchanges

Bitget's $388M Loss Exposes Critical Third-Party Security Risks in Crypto Exchanges

In September 2026, cryptocurrency exchange Bitget suffered a $388 million theft when attackers exploited a zero-day vulnerability in a third-party security product. The attackers gained access to internal management systems, obtained high-level credentials, and inserted fraudulent withdrawal commands into backend wallet services on September 24. They first conducted small test transfers below risk-control thresholds, then executed larger fraudulent withdrawals from hot and warm wallets while bypassing security controls by disguising their activity as legitimate administrative operations. This incident highlights the growing sophistication of supply chain attacks targeting cryptocurrency exchanges, particularly as North Korean threat actors increasingly exploit third-party security tools to access high-value targets and circumvent traditional security measures.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
RatHat Banking Trojan Weaponizes Gemini AI for Automated Victim Profiling
RatHat Banking Trojan Weaponizes Gemini AI for Automated Victim Profiling
Banking/Mortgage1 month ago

RatHat Banking Trojan Weaponizes Gemini AI for Automated Victim Profiling

RatHat Android banking trojan operators have integrated Google's Gemini AI into their malware-as-a-service platform to automatically assess victim financial profiles and prioritize high-value targets. Active since late 2025 with nearly 100 console deployments observed by September 2026, the malware exploits Android Debug Bridge (ADB) to gain shell access, bypassing traditional app permissions. The console analyzes stolen SMS messages and banking credentials to estimate victim wealth, while the malware uses AI-powered screen interaction to adapt to different Android interfaces for maintaining persistence. This incident represents a significant evolution in mobile banking malware, demonstrating how cybercriminals are weaponizing generative AI for victim profiling and adaptive attack techniques, making traditional mobile security defenses less effective against dynamically evolving threats.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
Keio Corporation Ransomware Attack Exposes Critical Infrastructure Vulnerabilities
Keio Corporation Ransomware Attack Exposes Critical Infrastructure Vulnerabilities
Transportation1 month ago

Keio Corporation Ransomware Attack Exposes Critical Infrastructure Vulnerabilities

In September 2026, Keio Corporation, a major Japanese railway operator with $2.6 billion annual revenue, suffered a ransomware attack that disrupted its business systems over the weekend. The attack primarily impacted the company's hospitality division including 25 hotels, affecting payment systems and customer-facing services, while railway operations remained unaffected. Keio immediately shut down its network to prevent further damage and engaged law enforcement and external security experts for investigation. The incident occurred alongside a separate breach at Tokyo Metro, raising concerns about coordinated attacks on Japanese transportation infrastructure. This incident highlights the growing threat to critical transportation infrastructure and the potential for ransomware groups to target hospitality and payment systems within larger organizations, demonstrating the need for segmented security architectures.

High impact

Kill Chain

ICInitial Compromise(low)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(low)
EExfiltration(low)
IImpact(high)
Read report
Storm-3069 APT Deploys NeedyMantis for Long-Term Network Persistence
Storm-3069 APT Deploys NeedyMantis for Long-Term Network Persistence

Storm-3069 APT Deploys NeedyMantis for Long-Term Network Persistence

Microsoft identified NeedyMantis, a sophisticated malware family used by Storm-3069 (suspected China-nexus threat actor) to maintain persistent access in targeted networks since October 2025. The malware employs DLL sideloading techniques with legitimate programs like Poedit, curl, and TightVNC to establish covert command-and-control channels via HTTPS and WebSocket connections. Organizations affected include telecommunications companies, universities, medical nonprofits, intergovernmental organizations, and government contractors, with the campaign linked to the DAEMON Tools supply chain compromise discovered in May 2026. This incident highlights the growing sophistication of state-sponsored APT groups leveraging supply chain attacks and living-off-the-land techniques to achieve long-term persistence. The campaign demonstrates how threat actors are increasingly targeting critical infrastructure and sensitive sectors through legitimate software channels.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(medium)
Read report
Apple's CVE-2026-86950: Critical CoreGraphics Vulnerability Exploited in Targeted Attacks
Apple's CVE-2026-86950: Critical CoreGraphics Vulnerability Exploited in Targeted Attacks

Apple's CVE-2026-86950: Critical CoreGraphics Vulnerability Exploited in Targeted Attacks

Apple disclosed CVE-2026-86950, a critical out-of-bounds write vulnerability in CoreGraphics that enables arbitrary code execution through maliciously crafted files. Meta Product Security discovered this flaw, which Apple confirmed was exploited in sophisticated targeted attacks against specific individuals running iOS versions prior to iOS 27. The vulnerability affects older versions of iOS, iPadOS, and macOS, requiring users to update to iOS 26.7.1, iPadOS 26.7.1, macOS Tahoe 26.7.1, or macOS Sequoia 15.8.1 to mitigate the risk. This incident highlights the ongoing threat of zero-day exploits being weaponized in targeted surveillance campaigns, particularly as nation-state actors and sophisticated threat groups increasingly focus on mobile device exploitation for intelligence gathering operations.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Chrome Web Store Security Failure: How Poper Blocker Spyware Infected Millions
Chrome Web Store Security Failure: How Poper Blocker Spyware Infected Millions

Chrome Web Store Security Failure: How Poper Blocker Spyware Infected Millions

In 2026, researchers at Bay Area Labs discovered that 'Poper Blocker,' a malicious browser extension masquerading as an ad blocker, had been distributed through the Chrome Web Store to over 2 million users. Despite carrying Google's 'Featured' badge and 'Established Publisher' status, the extension functioned as sophisticated spyware, exfiltrating comprehensive browsing histories, screenshots, AI chatbot interactions from ChatGPT, Claude, and Gemini, and location data. The malware employed advanced evasion techniques including code obfuscation, sandbox detection, and command-and-control infrastructure to avoid detection while systematically harvesting sensitive user data for third-party monetization. This incident highlights the growing threat of supply chain attacks through legitimate app stores and the increasing sophistication of data theft operations targeting AI interactions and personal browsing data. With one in five popular ad blockers reportedly engaging in similar data exfiltration practices, organizations face mounting challenges in protecting against insider threats from seemingly trusted software sources.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report

Security Research & Insights

Security Research & Insights with human-led deep dives into campaigns and cloud-native TTPs

Market Perspectives

Market Perspectives offering expert commentary and select breach analysis from industry leaders

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.

Utilize the Network Layer

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.

The Executive Assistant That Broke the Company Why Shadow AI is the New Cloud Crisis card image

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.

Containment Era Intelligence

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.

8
Tracked Campaigns
82%
Intrusions are malware-free
— CrowdStrike GTR 2026
29 min
Avg. eCrime breakout time
— CrowdStrike GTR 2026
27 sec
Fastest observed breakout
— CrowdStrike GTR 2026

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.

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