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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AccountingAerospaceAerospace/AviationAgricultureAirlines/AviationAnimationApparel/FashionArchitecture/PlanningArtificial IntelligenceArtificial Intelligence/Machine LearningArts/CraftsAutomotiveAviation/AerospaceBanking/MortgageBiotechnology/GreentechBlockchain/CryptocurrencyBroadcast MediaBroadcasting MediaBroadcasting/MediaBuilding MaterialsBusiness Supplies/EquipmentCapital Markets/Hedge Fund/Private EquityChemicalChemicalsCivic/Social OrganizationCivil EngineeringCloud ComputingCloud Computing/SaaSCloud Native Security Fabric (CNSF)Cloud ServicesCommercial FacilitiesCommercial Real EstateComputer GamesComputer HardwareComputer NetworkingComputer Software/EngineeringComputer/Network SecurityConstructionConsultingConsumer ElectronicsConsumer GoodsConsumer ServicesCosmeticsCosmeticsCritical ManufacturingCryptocurrenciesCryptocurrencyCustomer ServicesCybersecurityDairyDating/Personal ServicesDating/Social PlatformsDefense/SpaceDesignE-LearningEducation ManagementElectrical/Electronic ManufacturingEmergency ServicesEnergyEnergy/Oil/Solar/GreentechEntertainment/Movie ProductionEnvironmental ServicesEvents ServicesExecutive OfficeFacilities ServicesFarmingFashion/ApparelFinancial ServicesFine ArtFisheryFood ProductionFood/BeveragesFortune 500 companiesFranchisingFundraisingGambling/CasinosGamingGaming/CasinosGovernment AdministrationGovernment FacilitiesGovernment RelationsGraphic Design/Web DesignHealth Care / Life SciencesHealthcareHigher Education/AcadamiaHospitalityHospitalsHuman Resources/HRImport/ExportIndividual/Family ServicesIndustrial AutomationInformation ServicesInformation Technology/ITInsuranceInternational AffairsInternational Trade/DevelopmentInternetInvestment Banking/VentureInvestment Management/Hedge Fund/Private EquityJudicialJudiciaryLaw EnforcementLaw Practice/Law FirmsLegal ServicesLegislative OfficeLeisure/TravelLogistics/ProcurementLuxury Goods/JewelryMachineryManagement ConsultingManufacturingMaritimeMarket ResearchMarketing/Advertising/SalesMechanical or Industrial EngineeringMedia ProductionMedical EquipmentMedical PracticeMilitary IndustryMining/MetalsMobileMuseums/InstitutionsMusicNewspapers/JournalismNon-Profit/VolunteeringOil/Energy/Solar/GreentechOnline PublishingOutsourcing/OffshoringPackage/Freight DeliveryParkingPharmaceuticalsPhilanthropyPhotographyPlasticsPolitical OrganizationPrimary/Secondary EducationProfessional ServicesProfessional TrainingPublic Relations/PRPublic SafetyPublishing IndustryRailroad ManufactureReal Estate/MortgageRecreational Facilities/ServicesReligious InstitutionsRenewables/EnvironmentResearch IndustryRestaurantsRetail IndustryRoboticsRural HealthcareSecurity/InvestigationsSemiconductorsShipbuildingSocial Media/InternetSporting GoodsSportsStaffing/RecruitingSupermarketsTechnologyTechnology/ITTelecommunicationsThink TanksToys and GamesTransportationTravel/TourismTrucking/FreightUtilitiesVenture Capital/VCWarehousingWater and Waste ManagementWater and WastewaterWater and Wastewater SystemsWater and Wastewater TreatmentWater TreatmentWater, Waste, Steam, and Air Conditioning ServicesWater/Waste ManagementWater/WastewaterWater/Wastewater ManagementWater/Wastewater/UtilitiesWholesaleWine/SpiritsWirelessWriting/Editing

Displaying 1117 to 1128 of 6867 threat reports

DoppelCart Fraud Network Exposes Massive E-Commerce Security Gap
DoppelCart Fraud Network Exposes Massive E-Commerce Security Gap
Retail Industry1 month ago

DoppelCart Fraud Network Exposes Massive E-Commerce Security Gap

In September 2026, cybersecurity researchers discovered DoppelCart, the largest documented fake e-commerce network comprising over 119,000 fraudulent domains, primarily using the .SHOP TLD. The operation impersonates 44,182 legitimate brands by copying product catalogs and branding, then uses WebSocket connections to steal payment card data, CVV codes, and personal information in real-time during checkout. The network affects 2.72% of all .SHOP domains and significantly surpasses previous operations like BogusBazaar's 75,000 sites, with over 105,000 shops remaining active at discovery. This incident highlights the evolving sophistication of financial fraud networks and their ability to operate at unprecedented scale through automated domain generation and brand impersonation, representing a critical threat to consumer trust and e-commerce security.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
ClickFix Campaigns Weaponize Trust: How Attackers Abuse Legitimate Services
ClickFix Campaigns Weaponize Trust: How Attackers Abuse Legitimate Services

ClickFix Campaigns Weaponize Trust: How Attackers Abuse Legitimate Services

ClickFix campaigns represent a sophisticated social engineering attack vector where threat actors disguise malicious PowerShell scripts as legitimate software fixes or updates. These campaigns typically begin with phishing emails or compromised websites that present users with fake error messages, prompting them to copy and execute PowerShell commands that appear to resolve technical issues. The attacks leverage trusted platforms like GitHub, Discord, and legitimate cloud services to host malicious payloads, making detection more challenging for traditional security tools. Once executed, the malicious scripts establish persistent access through various techniques including scheduled tasks, registry modifications, and deployment of remote access tools, allowing attackers to maintain long-term presence in compromised environments. ClickFix campaigns have gained significant traction in 2024 as organizations increasingly adopt cloud-first strategies and remote work models, creating expanded attack surfaces that threat actors exploit through social engineering rather than traditional technical vulnerabilities.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(medium)
Read report
StyleSmuggler Zero-Day: How CVE-2026-75650 Compromised Magento E-commerce Security
StyleSmuggler Zero-Day: How CVE-2026-75650 Compromised Magento E-commerce Security
Retail Industry1 month ago

StyleSmuggler Zero-Day: How CVE-2026-75650 Compromised Magento E-commerce Security

In September 2026, threat actors began exploiting CVE-2026-75650 (StyleSmuggler), a critical zero-day vulnerability in Adobe Commerce and Magento Open Source with a CVSS score of 10.0. The flaw allows unauthenticated remote code execution through PHP code injection in Magento's template system, specifically targeting the 'Payment Transaction Failed Reminder' email function. Attackers deployed sophisticated payloads including a Rust-based Linux backdoor and PHP web shells on compromised e-commerce sites, with exploitation beginning September 4, 2026. This incident highlights the growing sophistication of supply chain attacks targeting e-commerce platforms, as attackers increasingly focus on high-value web applications that process financial transactions and customer data, demonstrating the critical need for runtime application security controls.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(medium)
Read report
Grindr's £26 Million Settlement Exposes Critical Gaps in Dating App Data Privacy
Grindr's £26 Million Settlement Exposes Critical Gaps in Dating App Data Privacy

Grindr's £26 Million Settlement Exposes Critical Gaps in Dating App Data Privacy

In September 2026, Grindr agreed to pay £26 million ($35.1 million) to settle a U.K. class action lawsuit involving over 10,000 users whose sensitive personal data, including HIV status, was shared with third-party advertising companies Apptimize and Localytics between 2018-2020. The incident, originally exposed by Norwegian research group SINTEF in April 2018, occurred while Grindr was owned by Chinese gaming company Kunlun, before its 2020 acquisition by San Vicente Acquisition LLC. The settlement covers historical data practices that violated U.K. privacy laws through unauthorized sharing of location data, sexual orientation, and medical information for commercial advertising purposes. This incident highlights the ongoing regulatory scrutiny of data privacy violations in dating apps and social platforms, particularly as GDPR enforcement intensifies and class action lawsuits become more prevalent in addressing historical privacy breaches involving sensitive personal information.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
BengalSEO Campaign Weaponizes Search Results for MayaBot Distribution
BengalSEO Campaign Weaponizes Search Results for MayaBot Distribution

BengalSEO Campaign Weaponizes Search Results for MayaBot Distribution

The BengalSEO campaign represents a sophisticated search engine optimization poisoning operation that has been active since 2015, targeting Bing search results to deliver MayaBot malware and facilitate tech support scams. Operating from Rajasthan, India, the threat actors behind this campaign manipulate search engine results to redirect victims to malicious websites, where they deploy malware or engage in fraudulent technical support schemes. The campaign demonstrates the evolution of SEO poisoning techniques and their effectiveness in reaching unsuspecting users through legitimate search queries. This incident highlights the growing sophistication of search engine manipulation attacks and their integration with traditional malware distribution methods. As organizations increasingly rely on digital visibility and search engine optimization, the weaponization of these same techniques by threat actors represents a significant shift in attack vectors that security teams must address.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(high)
Read report
Critical FreeIPA Vulnerability Exposes Enterprise Authentication Infrastructure to Anonymous Attackers
Critical FreeIPA Vulnerability Exposes Enterprise Authentication Infrastructure to Anonymous Attackers

Critical FreeIPA Vulnerability Exposes Enterprise Authentication Infrastructure to Anonymous Attackers

In September 2026, Red Hat disclosed a critical vulnerability chain in FreeIPA (CVE-2026-76578) with a CVSS score of 9.8 that allows anonymous clients to create reusable administrator credentials without authentication. The flaw exploits a weakness in FreeIPA's access control rules combined with a secondary vulnerability in 389 Directory Server (CVE-2026-76560), enabling attackers to bypass authentication mechanisms and gain administrative privileges on Linux domain controllers. Red Hat successfully reproduced the attack chain twice on default installations, demonstrating how unauthenticated attackers can inject Kerberos identities and obtain administrator group membership. This vulnerability highlights the growing sophistication of identity-based attacks targeting enterprise authentication infrastructure, particularly as organizations increasingly rely on centralized identity management systems for zero trust architectures and cloud-native environments.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
When AI Attacks AI: The 2026 Autonomous Agent Credential Harvesting Campaign
When AI Attacks AI: The 2026 Autonomous Agent Credential Harvesting Campaign

When AI Attacks AI: The 2026 Autonomous Agent Credential Harvesting Campaign

In September 2026, threat actors deployed autonomous AI agent frameworks to conduct large-scale credential harvesting operations, compromising thousands of third-party credentials in under six hours. Google Threat Intelligence Group identified multiple financially motivated groups, including TeamPCP, leveraging AI-assisted tools like DUSTMAKER malware to target AI coding assistants, cloud environments, and supply chains across PyPI, npm, and Docker Hub repositories. The attacks demonstrated unprecedented automation capabilities, with AI systems autonomously managing vulnerability scanning, real-time troubleshooting, and IP rotation without human intervention. This incident represents a critical escalation in AI-enabled cyber threats, coinciding with the rapid adoption of generative AI tools in enterprise environments and the emergence of 'abliterated' open-weight models that bypass safety guardrails.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
Read report
Liquid Network Suffers $320M Bitcoin Theft Through Elements Software Vulnerability
Liquid Network Suffers $320M Bitcoin Theft Through Elements Software Vulnerability

Liquid Network Suffers $320M Bitcoin Theft Through Elements Software Vulnerability

In September 2026, unknown attackers claiming to be white hat hackers exploited a vulnerability in the Elements software powering Liquid Network's Bitcoin sidechain, withdrawing nearly 4,000 bitcoin worth approximately $320 million. The attackers used a bug in Elements to create unauthorized L-BTC tokens and then executed a peg-out transaction through SideSwap's authorization key, draining 95% of Liquid's bitcoin reserves. After communicating with Blockstream through encrypted messages embedded in Bitcoin transactions, the attackers returned 3,400 bitcoin but retained approximately 598.5 bitcoin worth $47 million. This incident highlights the growing sophistication of cryptocurrency protocol attacks and the blurred lines between legitimate security research and extortion in the DeFi ecosystem, particularly as Bitcoin layer-2 solutions become increasingly targeted by threat actors.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
ChatGPT Prompt Injection Flaw Exposed Gmail Data Through Hidden Cross-Account Channels
ChatGPT Prompt Injection Flaw Exposed Gmail Data Through Hidden Cross-Account Channels

ChatGPT Prompt Injection Flaw Exposed Gmail Data Through Hidden Cross-Account Channels

In September 2026, Check Point Research disclosed a critical vulnerability in OpenAI's ChatGPT that allowed attackers to inject malicious prompts that could silently exfiltrate user data from connected applications like Gmail. The attack exploited a shared internal JFrog Artifactory service used by ChatGPT's isolated containers, creating an unauthorized communication channel between different user accounts. Attackers could plant instructions through shared conversations, custom GPTs, or user-pasted prompts that would execute hidden data theft operations while displaying normal responses to victims. OpenAI confirmed the vulnerability and took the internal service offline after disclosure. This incident highlights the emerging risks of AI systems as attack vectors, particularly as organizations increasingly integrate AI tools with sensitive business applications and data sources, making prompt injection attacks a critical new threat category requiring immediate security attention.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
WeChat Zero-Click Worm: How 1.4 Billion Users Were at Risk from Incoming Calls
WeChat Zero-Click Worm: How 1.4 Billion Users Were at Risk from Incoming Calls

WeChat Zero-Click Worm: How 1.4 Billion Users Were at Risk from Incoming Calls

In July 2026, security researchers at Calif discovered a critical zero-click vulnerability in WeChat that allowed attackers to take complete control of user accounts through incoming calls without any user interaction. The exploit worked by leveraging WeChat's contact trust system, enabling worm-like propagation where compromised accounts could automatically infect other contacts. Affecting WeChat's 1.4 billion user base across iPhone and Android platforms, the vulnerability granted attackers full access to messages, payments, and WeChat's extensive ecosystem of mini-programs and services. Tencent patched the flaw in August 2026 versions 8.0.77 for Android and 8.0.76 for iOS. This incident highlights the growing sophistication of mobile application attacks and the critical importance of securing communication platforms that serve as digital wallets and business ecosystems, particularly as zero-click exploits become increasingly weaponized against high-value messaging applications.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
Read report
AI Reasoning Traces Theft: The 2026 Vulnerability That Exposed AI's Hidden Thoughts
AI Reasoning Traces Theft: The 2026 Vulnerability That Exposed AI's Hidden Thoughts

AI Reasoning Traces Theft: The 2026 Vulnerability That Exposed AI's Hidden Thoughts

In 2026, security researchers discovered a critical vulnerability affecting major AI providers including OpenAI, Anthropic, and Google, where encrypted reasoning traces from large language models could be stolen and decoded. The attack exploited the interchangeable nature of encrypted reasoning blocks across different sessions and models, allowing adversaries to inject traces into weaker models to extract proprietary reasoning in plaintext. This vulnerability enabled four distinct attack vectors: circumventing anti-distillation mechanisms, large-scale private data extraction, revealing hidden hazardous information, and executing invisible prompt injections. Researchers successfully extracted 367 PII artifacts and 182 credentials from 315,320 reasoning blocks scraped from public repositories, demonstrating the significant privacy and security implications. This incident highlights the emerging risks in AI security as organizations increasingly deploy autonomous AI agents and rely on cloud-based AI services, making AI-specific vulnerabilities a critical new attack surface that traditional security measures may not adequately address.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
July 2024 Water Utility Attacks Expose Critical Infrastructure Blind Spots
July 2024 Water Utility Attacks Expose Critical Infrastructure Blind Spots
Utilities1 month ago

July 2024 Water Utility Attacks Expose Critical Infrastructure Blind Spots

In July 2024, over 100 water and wastewater treatment systems across multiple states were compromised through vulnerable industrial controllers connected directly to public cellular networks. CISA identified the widespread campaign targeting Rockwell Allen-Bradley, Schneider Electric, and Siemens equipment, with attackers gaining operational control and causing service disruptions including pump station failures and boil-water advisories. The incidents exposed critical infrastructure gaps where operational technology exists outside traditional IT security boundaries, with many systems invisible to network scans but trackable through carrier invoices. This campaign highlights the urgent need for comprehensive network visibility and microsegmentation in critical infrastructure, as traditional network perimeter defenses fail to protect cellular-connected industrial control systems that operate independently of municipal IT networks.

High impact

Kill Chain

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