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 277 to 288 of 6832 threat reports

The BYOVD Trust Gap: How Vulnerable Drivers Bypass Modern Security
The BYOVD Trust Gap: How Vulnerable Drivers Bypass Modern Security

The BYOVD Trust Gap: How Vulnerable Drivers Bypass Modern Security

Bring Your Own Vulnerable Driver (BYOVD) attacks exploit a fundamental trust gap in Windows kernel security, where attackers leverage legitimate but vulnerable signed drivers to bypass endpoint protection systems. Recent analysis shows approximately 36% of catalogued vulnerable drivers remain unblocked by default Windows security policies, with attackers exploiting revoked and expired certificates that the kernel still accepts. These attacks concentrate on compromised signing certificates rather than individual drivers, allowing threat actors to generate unlimited malicious payloads using stolen cryptographic keys. The persistence of this attack vector demonstrates a structural flaw in how operating systems validate driver trust, with some vulnerable drivers remaining exploitable for years after initial disclosure. This attack method has gained renewed prominence as ransomware groups and APT actors increasingly adopt BYOVD techniques to disable security tools and establish kernel-level persistence, highlighting the urgent need for trust-based rather than signature-based defensive approaches.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Yam Store Exposed: How Storm-3119 Built a Billion-Message Phishing Empire
Yam Store Exposed: How Storm-3119 Built a Billion-Message Phishing Empire

Yam Store Exposed: How Storm-3119 Built a Billion-Message Phishing Empire

In 2026, Microsoft Threat Intelligence exposed Yam Store, a Chinese-language cybercrime marketplace tracked as Storm-3119, responsible for facilitating over one billion phishing emails and SMS messages targeting 75,000 organizations worldwide. The operation sold phishing kits including CoGUI, Haozi, and Iron Man System, along with fraudulently obtained Microsoft and Google cloud domains from legitimate organizations. Storm-3119 leveraged automation to identify expired environments and used legitimate customer information to circumvent detection systems, enabling threat actors to operate seemingly trustworthy phishing infrastructure at scale. This incident highlights the industrialization of phishing-as-a-service operations and the increasing sophistication of cloud infrastructure abuse. As threat actors leverage AI and legitimate cloud services to enhance their campaigns, organizations face unprecedented challenges in distinguishing malicious activity from legitimate communications, making traditional security awareness training and detection methods insufficient.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
UTA0576 Exploits Ivanti Connect Secure Zero-Day Despite Partial Vendor Discovery
UTA0576 Exploits Ivanti Connect Secure Zero-Day Despite Partial Vendor Discovery

UTA0576 Exploits Ivanti Connect Secure Zero-Day Despite Partial Vendor Discovery

In October 2026, threat actor UTA0576 exploited a zero-day vulnerability chain in Ivanti Connect Secure (ICS) appliances, tracked as CVE-2026-104935, combining authentication bypass and remote code execution flaws. The attack compromised fully patched ICS devices, allowing attackers to gain root-level access, extract credentials, and pivot into Active Directory environments. While Ivanti had partially discovered the vulnerability through AI-assisted security scanning in July 2026 and patched newer versions, the fix had not been backported to all supported versions when exploitation began on October 3, 2026. This incident highlights the growing sophistication of threat actors who monitor vendor patch releases to identify unpatched vulnerabilities across product versions. The attack demonstrates how the window between partial fixes and comprehensive deployment creates exploitable gaps, emphasizing the critical need for coordinated vulnerability management and rapid deployment capabilities in an era of accelerated threat actor reconnaissance.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(medium)
Read report
European Grocery Chains Hit by Massive Refrigeration System Cyberattack
European Grocery Chains Hit by Massive Refrigeration System Cyberattack
Retail Industry2 weeks ago

European Grocery Chains Hit by Massive Refrigeration System Cyberattack

In October 2026, cybercriminals exploited unpatched vulnerabilities in Danfoss and XWEB refrigeration controllers across over 400 European grocery stores, converting refrigerators and freezers into heating units that reached 50°C (120°F). The attackers manipulated defrost cycles to mask the sabotage, causing complete spoilage of perishable inventory and estimated losses exceeding several million euros. The attacks leveraged CVE-2025-41450, CVE-2025-41451, and CVE-2025-41452 affecting end-of-life Danfoss AK-SM 800A platforms, along with 23 vulnerabilities in XWEB Pro systems disclosed by Claroty researchers in August 2026. This incident highlights the growing threat to operational technology (OT) environments where legacy industrial control systems remain Internet-exposed and unpatched. As critical infrastructure increasingly relies on connected IoT devices for remote monitoring and control, attackers are shifting focus from traditional IT networks to industrial systems that can cause immediate physical and financial damage.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Langflow's Critical RCE Flaw Under Active Attack: 1,423 Exploitation Attempts Detected
Langflow's Critical RCE Flaw Under Active Attack: 1,423 Exploitation Attempts Detected

Langflow's Critical RCE Flaw Under Active Attack: 1,423 Exploitation Attempts Detected

A critical authenticated remote code execution vulnerability (CVE-2026-105740, CVSS 9.9) in Langflow, an open-source AI application development platform owned by DataStax and acquired by IBM in February 2025, is being actively exploited by threat actors. The flaw allows any authenticated user to execute arbitrary OS commands through malicious MCP server configurations with zero validation. Previdian honeypot sensors recorded 1,423 exploitation attempts from 27 unique IP addresses across 15 countries since September 2026, with activity significantly ramping up in October. Attackers are using common credentials to authenticate and then exploiting the vulnerability to extract sensitive configurations, access host filesystems, and establish persistent backdoors. This incident highlights the growing threat landscape targeting AI development platforms as organizations rapidly adopt AI technologies without adequate security oversight. The systematic targeting of multiple Langflow vulnerabilities by the same threat actors demonstrates the critical need for securing AI infrastructure as these platforms become integral to business operations.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
AhsayCBS Critical Flaws Enable Cryptojacking Through Incomplete Patches
AhsayCBS Critical Flaws Enable Cryptojacking Through Incomplete Patches

AhsayCBS Critical Flaws Enable Cryptojacking Through Incomplete Patches

In October 2026, threat actors exploited two critical vulnerabilities (CVE-2026-105133 and CVE-2026-105134) in Ahsay's AhsayCBS backup software to deploy web shells and XMRig cryptocurrency miners. The flaws allowed attackers to chain authentication bypass with remote code execution capabilities on exposed systems. Initial patches released in August 2026 were incomplete, prompting Ahsay to issue emergency hotfixes in versions 10.3.4.45 and 9.15.2.70. The active exploitation led CISA to add both vulnerabilities to the Known Exploited Vulnerabilities catalog with a mandatory October 17, 2026 remediation deadline for federal agencies. This incident highlights the growing trend of cryptojacking attacks targeting enterprise backup infrastructure and the challenges of incomplete vulnerability remediation in critical business systems.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(high)
Read report
GhostAction Returns: Massive GitHub Supply Chain Attack Targets Developer Infrastructure
GhostAction Returns: Massive GitHub Supply Chain Attack Targets Developer Infrastructure

GhostAction Returns: Massive GitHub Supply Chain Attack Targets Developer Infrastructure

In October 2026, the GhostAction supply chain attack campaign escalated dramatically, compromising approximately 1,900 GitHub accounts and targeting over 30,000 repositories across 3,000 users and organizations. Threat actors used stolen Personal Access Tokens and credentials from infostealer logs to gain write access to legitimate repositories, then injected malicious GitHub Actions workflows disguised as security audits. The campaign focused on large-scale theft of CI/CD secrets, cloud credentials, package registry tokens, and AI provider API keys through automated secret scanning of repository histories. This incident highlights the growing sophistication of supply chain attacks targeting developer infrastructure and the critical need for enhanced security controls around CI/CD pipelines and secret management in cloud-native environments.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
AWS Security Agent Achieves 89% Success Rate in Autonomous CVE Exploitation
AWS Security Agent Achieves 89% Success Rate in Autonomous CVE Exploitation

AWS Security Agent Achieves 89% Success Rate in Autonomous CVE Exploitation

AWS Security Agent, now integrated into AWS Continuum, demonstrated autonomous penetration testing capabilities by successfully exploiting 33 of 37 recently disclosed CVEs in a controlled benchmark environment. The AI-powered agent operated from minimal starting information—just endpoint URLs and single-line hints—to discover vulnerabilities, construct working exploits, and extract hidden flags across diverse software platforms including web frameworks, container registries, ML platforms, and ecommerce stacks. The 89.2% success rate spanned eight vulnerability classes from SQL injection to complex multi-step XSS-to-admin-cookie chains, with some exploits requiring sophisticated chaining of six different attack primitives. Two failures occurred when the agent's aggressive exploitation accidentally destroyed target systems before flag extraction, highlighting the critical need for non-destructive guardrails in autonomous security testing tools. This development represents a significant advancement in AI-driven cybersecurity testing, coinciding with the rapid proliferation of AI agents across enterprise security operations and the growing sophistication of both defensive and offensive AI capabilities in 2025.

Threat report

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Fake AI Malware Campaigns Target 1,258 US Companies in 2026
Fake AI Malware Campaigns Target 1,258 US Companies in 2026

Fake AI Malware Campaigns Target 1,258 US Companies in 2026

Between April and October 2026, cybercriminals launched sophisticated fake AI campaigns targeting US businesses, with attackers impersonating popular AI services like Claude, ChatGPT, GitHub Copilot, and Gemini to distribute infostealer malware. ANY.RUN identified 1,258 public sandbox analyses linked to these campaigns, with US companies accounting for 16% of targeted victims. The attacks used deceptive download pages and malicious PowerShell commands to steal browser sessions, compromise business accounts, and establish persistent access to corporate networks through legitimate-appearing AI software installations. These campaigns represent a significant evolution in social engineering tactics, exploiting the widespread adoption of AI tools in enterprise environments to bypass traditional security awareness training and detection mechanisms.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
Read report
Critical CVE-2026-0322 RCE Flaw in Palo Alto Networks PAN-OS Under Active Attack
Critical CVE-2026-0322 RCE Flaw in Palo Alto Networks PAN-OS Under Active Attack

Critical CVE-2026-0322 RCE Flaw in Palo Alto Networks PAN-OS Under Active Attack

Palo Alto Networks disclosed CVE-2026-0322, a high-severity remote code execution vulnerability in PAN-OS management interface that enables authenticated attackers to execute arbitrary code with root privileges. The flaw affects PA-Series, VM-Series firewalls and Panorama systems, with active exploitation detected from three IP addresses geolocated in the United States. The company confirmed very limited exploitation targeting management interfaces and released patches across multiple PAN-OS versions, while CISA added the vulnerability to its Known Exploited Vulnerabilities catalog requiring federal agencies to patch by October 17, 2026. This incident reflects the continuing trend of threat actors targeting network infrastructure vulnerabilities, particularly management interfaces of critical security appliances, as organizations increasingly rely on firewall technologies for perimeter defense and zero trust architecture implementation.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(medium)
Read report
Critical Next.js RCE Vulnerabilities Demand Immediate Patching
Critical Next.js RCE Vulnerabilities Demand Immediate Patching

Critical Next.js RCE Vulnerabilities Demand Immediate Patching

On October 14, 2026, Vercel released an out-of-band security update for Next.js addressing two critical remote code execution vulnerabilities with CVSS scores of 9.5. The first flaw (GHSA-673q-mjm6-r5xr) affects React Server Components in Next.js 16.x applications using Cache Components with use cache functions returning multiple typed arrays. The second vulnerability (CVE-2026-96889) stems from a memory bug in the librsvg library used by Next.js through the sharp package for SVG processing, affecting applications running on glibc-based Linux systems. A third high-severity denial-of-service flaw targeting Server Actions was also patched, affecting App Router applications since Next.js 13.0.0. This incident highlights the persistent supply chain security challenges facing modern web frameworks, particularly as Next.js has experienced three image processing vulnerabilities since August 2026. With the framework's widespread adoption in enterprise applications and the availability of public exploits for similar flaws, organizations must prioritize immediate patching and implement robust dependency management practices.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(high)
Read report
Critical Drupal Field UI Vulnerability Exposes 150K+ Sites to Remote Code Execution
Critical Drupal Field UI Vulnerability Exposes 150K+ Sites to Remote Code Execution

Critical Drupal Field UI Vulnerability Exposes 150K+ Sites to Remote Code Execution

In October 2026, the Drupal Security Team disclosed a critical remote code execution vulnerability (CVE-2026-108097) in Drupal core's Field UI module, affecting versions 10.6.x, 11.3.x, and 11.4.x. The flaw allows unauthenticated attackers to execute arbitrary code on vulnerable servers when exploited through contributed modules, with at least one known exploit path requiring no authentication. Patches were released on October 14, 2026, with affected versions updated to 11.4.10, 11.3.19, and 10.6.19. Over 151,000 Drupal sites (28.5% of reporting sites) were running vulnerable versions that received no security updates. This vulnerability represents a growing trend of critical web application flaws targeting content management systems, particularly as organizations increasingly rely on third-party modules and plugins. The incident highlights the persistent challenge of supply chain security in web applications, where core platform vulnerabilities can be weaponized through seemingly unrelated contributed components.

High impact

Kill Chain

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