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 169 to 180 of 6832 threat reports

ARTEX AI at Machine Speed: How Storm-0940 Turned ConnectWise Into a Master Key for 2,250+ Targets
ARTEX AI at Machine Speed: How Storm-0940 Turned ConnectWise Into a Master Key for 2,250+ Targets

ARTEX AI at Machine Speed: How Storm-0940 Turned ConnectWise Into a Master Key for 2,250+ Targets

In October 2026, Microsoft attributed a sophisticated supply chain attack against ConnectWise's Cloud Backup application to Storm-0940, a China state-aligned threat actor active since at least 2021. The adversary deployed ARTEX, a Go-based agentic AI penetration testing framework, to automate password spraying, OAuth application abuse, and reconnaissance at machine speed—targeting over 2,250 tenants at 2,900 sign-in attempts per minute. Between October 10–14, 2026, attackers generated over 151,000 failed logon events before gaining access on October 15 by compromising ConnectWise cloud application identities, enabling authentication into customer environments without interactive user sign-in. Privileged access was achieved at several organizations within under three hours of initial targeting. This incident marks a critical inflection point in nation-state cyber operations: the weaponization of agentic AI frameworks compresses attack timelines from days to hours, renders traditional detection windows insufficient, and exploits the trust relationships inherent in managed service provider ecosystems—amplifying blast radius across hundreds of downstream organizations simultaneously.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(high)
Read report
QPACK Zero-Days: How a Single UDP Packet Can Crash Your HTTP/3 Infrastructure
QPACK Zero-Days: How a Single UDP Packet Can Crash Your HTTP/3 Infrastructure

QPACK Zero-Days: How a Single UDP Packet Can Crash Your HTTP/3 Infrastructure

In October 2026, security firm FoxIO disclosed critical QPACK header-compression flaws affecting seven of ten HTTP/3 server stacks tested, releasing working proof-of-concept exploit code. An unauthenticated remote attacker can send a small compressed HTTP header batch that expands up to 4,000-fold in server memory, crashing affected servers with a single UDP connection. Impacted stacks include quic-go (CVE-2025-64702), Cloudflare quiche (CVE-2026-12523), lsquic, Bun, the h3 Rust library, and aioquic. Bun carries the worst-case scenario: a 516 KB payload triggers an integer overflow leading to 100% CPU lock with no recovery. Patches exist for quic-go, Cloudflare quiche, lsquic, and Wireshark, but Bun, h3, and aioquic remain unpatched as of disclosure. This disclosure follows the HTTP/2 "MadeYouReset" denial-of-service research and signals a broader trend of protocol-layer amplification attacks targeting modern cloud-native infrastructure. As HTTP/3 adoption accelerates across CDNs, API gateways, and edge runtimes, unpatched stacks present an immediate availability risk to internet-facing services operating without protocol-aware traffic inspection or egress controls.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Node.js Brotli Decoder RCE (CVE-2026-111497): What Cloud-Native Teams Must Do Now
Node.js Brotli Decoder RCE (CVE-2026-111497): What Cloud-Native Teams Must Do Now

Node.js Brotli Decoder RCE (CVE-2026-111497): What Cloud-Native Teams Must Do Now

On October 21, 2026, the Node.js project released security updates for all three supported release lines (22.x, 24.x, 26.x), patching ten vulnerabilities including a high-severity out-of-bounds write in the bundled Brotli decompression library (CVE-2026-111497). The flaw enables potential remote code execution when an attacker supplies malformed Brotli-compressed input to any application using Node.js's native zlib module or the fetch() API. Three additional high-severity CVEs address TLS hostname-check bypasses and DNS null-byte truncation. End-of-life lines (Node.js 20.x and earlier) will not receive patches, leaving a significant portion of deployed infrastructure unprotected. This incident underscores the systemic risk of bundled third-party libraries in widely deployed runtimes. As supply-chain attacks and dependency exploitation become primary threat vectors, organizations running Node.js in cloud-native, microservices, or serverless environments face elevated exposure—particularly where Brotli-compressed traffic flows between internal services or from untrusted external sources.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
How a GitHub Token Trapped in AI Gateway Logs Brought Down LiteLLM's Release Pipeline
How a GitHub Token Trapped in AI Gateway Logs Brought Down LiteLLM's Release Pipeline

How a GitHub Token Trapped in AI Gateway Logs Brought Down LiteLLM's Release Pipeline

On October 21, 2026, LiteLLM's release pipeline was compromised, resulting in the publication of malicious package version 1.107.0 to PyPI, Docker Hub, and GHCR. Attackers exploited GitHub CLI OAuth tokens that had been inadvertently logged by Claude Code in LiteLLM's internally exposed AI gateway deployment. Using these stolen credentials, the attacker disabled branch protections, redirected the signing workflow to a lookalike repository, and published a poisoned artifact embedding a credential stealer and a persistent RAT. Within 4.5 hours of exfiltration, attackers began validating stolen AWS credentials and performing LLMjacking reconnaissance against Bedrock and IAM services. This incident underscores an emerging and underappreciated risk: AI coding assistants and LLM gateway proxies can inadvertently log sensitive authentication tokens, creating a new credential-leak surface. As enterprises accelerate AI adoption, supply-chain attacks targeting AI infrastructure tooling are becoming a primary threat vector, demanding stricter secrets hygiene, pipeline integrity controls, and real-time egress monitoring for developer environments.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Railway's 2026 LLMjacking Breach: When PaaS Secrets Become the Attack Surface
Railway's 2026 LLMjacking Breach: When PaaS Secrets Become the Attack Surface

Railway's 2026 LLMjacking Breach: When PaaS Secrets Become the Attack Surface

In October 2026, Platform-as-a-Service provider Railway disclosed that an unauthorized third party accessed systems storing customer environment variables, potentially obtaining decrypted contents including API keys, database credentials, and private keys. The attacker, identified on-chain as 0xd9773325282874d18cb83f1fe50f14c39750b2ee, drained cryptocurrency wallets whose private keys were stored on Railway before the incident was publicly disclosed. Railway rotated all bucket credentials, invalidated API tokens, and urged customers to rotate all stored secrets. The campaign is assessed to be part of a coordinated series of attacks targeting PaaS platforms to compromise AI inference providers—a technique known as LLMjacking. This incident illustrates the accelerating convergence of cloud credential theft and AI resource abuse. Threat actors are systematically targeting PaaS and cloud environments not merely for data theft but to commandeer AI compute capacity, shift billing costs to victims, and build autonomous offensive AI agents—a trend that fundamentally raises the stakes for any organization hosting AI workloads or secrets in cloud-native environments.

High impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
php2shell: CISA Demands Immediate Action on Critical PHP RCE Vulnerabilities CVE-2026-109618 and CVE-2026-109619
php2shell: CISA Demands Immediate Action on Critical PHP RCE Vulnerabilities CVE-2026-109618 and CVE-2026-109619

php2shell: CISA Demands Immediate Action on Critical PHP RCE Vulnerabilities CVE-2026-109618 and CVE-2026-109619

In October 2026, CISA issued an urgent alert disclosing two critical unauthenticated remote code execution vulnerabilities in PHP, designated CVE-2026-109618 and CVE-2026-109619 and collectively dubbed 'php2shell.' These flaws affect all PHP installations serving web requests across versions 8.1 through 8.4, enabling attackers to execute arbitrary code without any authentication. CISA directed organizations to immediately upgrade to patched releases (PHP 8.5.12, 8.4.27, 8.3.36, or 8.2.35), take unpatched PHP systems offline, and monitor for PHP worker processes spawning shells or downloading attacker tooling. The breadth of PHP's deployment across web infrastructure makes this a high-severity, wide-blast-radius exposure. The php2shell vulnerabilities underscore an accelerating trend of attackers targeting foundational web runtime components rather than application-layer logic. As exploit weaponization timelines compress from weeks to hours post-disclosure, organizations with large PHP footprints—especially those running legacy or embedded PHP dependencies—face elevated risk of pre-patch compromise through automated scanning campaigns.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
Read report
Silent Patch, Critical Risk: How a Malicious MCP Server Can Own a Developer's Machine Through OpenCode
Silent Patch, Critical Risk: How a Malicious MCP Server Can Own a Developer's Machine Through OpenCode

Silent Patch, Critical Risk: How a Malicious MCP Server Can Own a Developer's Machine Through OpenCode

In late September 2026, a critical remote code execution vulnerability (severity 9.8/10) was discovered in OpenCode, an AI coding agent developed by Anomaly. The flaw allowed a malicious or compromised MCP (Model Context Protocol) server to execute arbitrary code on a developer's Windows or WSL machine during the OAuth sign-in flow. OpenCode passed the server-supplied authorization endpoint URL to a PowerShell-based browser-launch helper without sanitizing it, enabling command injection. Affecting versions 1.0.137 through 1.18.32, the bug was silently patched in version 1.18.33 on September 28, 2026, without a CVE assignment or public advisory, leaving many installations unknowingly exposed. This incident underscores the expanding attack surface introduced by AI agent ecosystems and MCP server integrations. As agentic AI tooling proliferates in developer workflows, supply-chain and third-party plugin compromises represent a growing vector. The absence of a CVE means automated scanners cannot flag affected versions, amplifying organizational risk and highlighting gaps in AI-era software disclosure practices.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
Read report
PHP2Shell: Critical Unauthenticated RCE Hits Every Major PHP Server API
PHP2Shell: Critical Unauthenticated RCE Hits Every Major PHP Server API

PHP2Shell: Critical Unauthenticated RCE Hits Every Major PHP Server API

In October 2026, the PHP project disclosed two critical unauthenticated remote code execution vulnerabilities, CVE-2026-109618 and CVE-2026-109619, collectively dubbed PHP2Shell, affecting all mainstream PHP server APIs including PHP-FPM, Apache mod_php, php-cgi, FrankenPHP, and LiteSpeed. Both flaws carry a CVSS 4.0 score of 9.2 and require no user interaction or prior authentication. CVE-2026-109618 exploits out-of-memory corruption during partial request initialization, while CVE-2026-109619 leverages stale global state surviving across worker requests. Fixed versions 8.5.12, 8.4.27, 8.3.36, and 8.2.35 were released October 21, 2026, with wild exploitation confirmed on the same day. PHP2Shell represents the most broadly impactful PHP vulnerability class in years, exposing virtually every organization running PHP web infrastructure. With exploitation confirmed in the wild and no viable mitigation short of patching, this incident underscores the accelerating trend of unauthenticated, pre-authentication RCE attacks targeting foundational web runtime components rather than application-layer logic.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
Read report
How Storm-0940 Used AI to Hack Hundreds of Companies in Hours via ConnectWise
How Storm-0940 Used AI to Hack Hundreds of Companies in Hours via ConnectWise

How Storm-0940 Used AI to Hack Hundreds of Companies in Hours via ConnectWise

Beginning September 2026, Storm-0940, a China-state aligned threat actor active since 2021, weaponized ARTEX—an open-source agentic AI penetration-testing framework—to automate large-scale attacks against hundreds of organizations across aerospace, defense, financial services, government, and technology sectors globally. The actor exploited a supply chain compromise of ConnectWise's multi-tenant cloud backup application, using ARTEX to conduct password spraying at 2,900 attempts per minute, OAuth token theft, and Microsoft Graph reconnaissance. In several confirmed intrusions, privileged cloud access was achieved in under three hours, with follow-on activity including application credential modification, privileged role self-assignment, and persistent backdoor establishment across victim Microsoft 365 tenants. This incident marks a watershed moment in nation-state offensive operations: AI-driven automation has collapsed the attacker dwell-time advantage that defenders historically relied upon. As agentic AI frameworks become commoditized and open-source, the barrier to executing sophisticated, multi-stage supply chain compromises at machine speed is dramatically lowered, forcing organizations to rethink detection and response timelines and elevate cloud identity governance to a board-level priority.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(medium)
Read report
Two Critical PHP RCE Vulnerabilities Patched in 2026: What Security Teams Must Do Now
Two Critical PHP RCE Vulnerabilities Patched in 2026: What Security Teams Must Do Now

Two Critical PHP RCE Vulnerabilities Patched in 2026: What Security Teams Must Do Now

In October 2026, PHP maintainers disclosed and patched two critical unauthenticated remote code execution vulnerabilities tracked as CVE-2026-109618 and CVE-2026-109619. The first flaw exploits out-of-memory handling that interrupts PHP during partial request initialization, causing request cleanup to treat invalid data as valid and enabling arbitrary code execution. The second flaw allows request-owned internal state to persist after its backing memory is freed, letting a subsequent request handled by the same worker consume stale state before initialization resets it. All major PHP server configurations—including mod_php, PHP-FPM, php-cgi, FrankenPHP, and LiteSpeed—are affected, with mod_php carrying the highest demonstrated risk. No authentication is required to trigger either vulnerability, meaning exploitation can occur before any application-layer code executes. These vulnerabilities represent a systemic risk to the global web stack, as PHP powers an estimated 77% of server-side websites. The disclosure arrives amid a broader surge in exploitation of web-tier vulnerabilities by both opportunistic actors and nation-state groups, reinforcing the urgency of rapid patching cycles and layered network controls to contain blast radius when patch deployment is delayed.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
Read report
Storm-0940 and ARTEX: How China's AI-Powered Agents Hijacked ConnectWise and 2,250 Microsoft 365 Tenants
Storm-0940 and ARTEX: How China's AI-Powered Agents Hijacked ConnectWise and 2,250 Microsoft 365 Tenants

Storm-0940 and ARTEX: How China's AI-Powered Agents Hijacked ConnectWise and 2,250 Microsoft 365 Tenants

In October 2026, Microsoft attributed a sophisticated supply-chain attack against ConnectWise's Cloud Backup service to Storm-0940, a China-state aligned threat actor active since 2021. The group leveraged ARTEX, an open-source agentic AI penetration testing framework, to automate password-spraying at 2,900 sign-in attempts per minute, ultimately targeting more than 2,250 Microsoft 365 tenants across eight organizations. AI agents autonomously progressed from initial authentication through reconnaissance, OAuth abuse, credential modification, and privilege escalation with minimal human interaction. ConnectWise temporarily shut down services following the attack, and Microsoft confirmed evidence of follow-on persistence activity in multiple customer environments. This incident marks a critical inflection point in nation-state tradecraft: the weaponization of agentic AI frameworks enables adversaries to compress attack timelines from days to minutes, outpacing human defenders. The combination of supply-chain entry, AI-driven automation, and OAuth abuse signals a new era of high-velocity, low-visibility intrusions that demand equally automated defensive countermeasures.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
When the Number 4 Kills a Certificate Authority: The eMudhra PKI Collapse
When the Number 4 Kills a Certificate Authority: The eMudhra PKI Collapse

When the Number 4 Kills a Certificate Authority: The eMudhra PKI Collapse

In April 2025, Indian certificate authority eMudhra conducted a key generation ceremony that produced critically weak private keys for eight intermediate SSL/TLS certificates. The keys were so poorly generated — some as small as the integer 4 — that security researcher Scott Helme reconstructed all eight on a laptop in under one second. Major browser vendors including Chrome, Firefox, Apple, and Microsoft revoked trust within days. Mozilla removed eMudhra's root certificate entirely, and Google announced imminent Chrome root removal. Facing regulatory scrutiny from CERT-In, a 40% share price collapse, and reputational damage, eMudhra's board voted to exit the certificate authority business altogether. This incident highlights how a single procedural failure in a cryptographic ceremony can instantaneously nullify an entire trust hierarchy. As PKI underpins HTTPS, code signing, and enterprise identity, the fragility exposed here is resonating across the industry at a moment when regulators and browser consortiums are tightening CA accountability standards and scrutinizing key generation practices globally.

High impact

Kill Chain

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