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 1 to 12 of 7070 threat reports

Check Point Zero-Day CVE-2026-123039: How Attackers Chained Root Escalation with ESXi Wiper Deployment
Check Point Zero-Day CVE-2026-123039: How Attackers Chained Root Escalation with ESXi Wiper Deployment

Check Point Zero-Day CVE-2026-123039: How Attackers Chained Root Escalation with ESXi Wiper Deployment

In late October 2026, threat actors began actively exploiting CVE-2026-123039, a zero-day local privilege escalation vulnerability in Check Point's Gaia OS DynamicCLI IPC interface. Attackers first gained initial access through the Mobile Access portal via PHP2Shell vulnerabilities, then escalated to root privileges using the unauthenticated world-writable socket (/tmp/dynamic_socket). After achieving root access, adversaries deployed webshells, the TSGA backdoor, and TSProxy malware — tools previously observed in Ivanti appliance attacks — before pivoting to VMware ESXi hosts and deploying destructive wiper malware across dozens of customer environments. This incident is emblematic of an accelerating pattern in which sophisticated threat actors chain perimeter device vulnerabilities with privilege escalation zero-days to achieve deep persistence and deploy destructive payloads. The reuse of tools like TSGA and TSProxy across Check Point and Ivanti campaigns signals a maturing, cross-platform intrusion playbook that security teams must recognize and counter proactively.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(high)
Read report
PHP2Shell + Zero-Day + ESXi Wiper: How Attackers Turned Check Point Gateways Into Destruction Engines
PHP2Shell + Zero-Day + ESXi Wiper: How Attackers Turned Check Point Gateways Into Destruction Engines

PHP2Shell + Zero-Day + ESXi Wiper: How Attackers Turned Check Point Gateways Into Destruction Engines

Beginning October 30, 2026, threat actors exploited two critical unauthenticated remote-code-execution vulnerabilities in PHP—collectively dubbed PHP2Shell (CVE-2026-109618 and CVE-2026-109619)—to compromise Check Point Security Gateway instances via their internet-facing Mobile Access portals. Attackers chained PHP2Shell with a Check Point zero-day (CVE-2026-123039) for root privilege escalation, installed PHP webshells and the TSGA/TSProxy backdoor for persistent command-and-control, used the gogo scanner for internal VMware ESXi host discovery, and finally detonated the destroy_v6 data-wiper on ESXi hosts—recursively deleting data with zero-fill overwriting—targeting Israeli organizations in the first wave and multi-sector global targets in a second wave on November 2, 2026. This incident illustrates an accelerating pattern of state-linked or hacktivist actors combining unpatched edge-device vulnerabilities with destructive wiper payloads to cause irreversible operational damage rather than financial gain. The tentative linkage to the Chinese threat cluster UNC5221 and the deliberate false-flag political messaging underscore growing geopolitical dimensions in infrastructure attacks, raising the urgency for organizations to enforce rapid patch cycles and network segmentation on perimeter security appliances.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(high)
Read report
Ten Days to Total Destruction: How BlackNevas Ransomware Weaponized vCenter Against Itself
Ten Days to Total Destruction: How BlackNevas Ransomware Weaponized vCenter Against Itself

Ten Days to Total Destruction: How BlackNevas Ransomware Weaponized vCenter Against Itself

In early 2025, Kaspersky's Global Emergency Response Team investigated a ten-day ransomware campaign attributed to BlackNevas, a Trigona-derivative group first observed in November 2024. The attackers compromised a vCenter Server Appliance via stolen enterprise credentials, deployed MeshAgent and a Ligolo-ng reverse tunnel for persistence, then weaponized VMware Host Profiles to silently re-enable SSH across all ESXi hosts. No hypervisor vulnerabilities were exploited. The adversaries destroyed backup infrastructure before detonating a Babuk-derived ESXi encryptor that wiped four ESXi hosts, all hosted virtual machines, and both vCenter appliances, rendering the entire virtualized estate unrecoverable within hours. This incident illustrates a maturing ransomware playbook in which attackers bypass endpoint controls entirely by targeting the virtualization management plane. With the Babuk ESXi source code publicly available since 2021 and at least ten derivative families now in circulation, hypervisor-layer ransomware is accessible to low-sophistication actors, making every organization running VMware vSphere a viable target regardless of guest-level security posture.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(high)
Read report
When AI Attacks Itself: ARTEX Agents Stole LLM Credentials to Fund More AI-Powered Attacks
When AI Attacks Itself: ARTEX Agents Stole LLM Credentials to Fund More AI-Powered Attacks

When AI Attacks Itself: ARTEX Agents Stole LLM Credentials to Fund More AI-Powered Attacks

Between October 3 and November 5, 2026, Amazon Threat Intelligence's MadPot sensor network captured evidence of Chinese-nexus threat actors conducting sustained, multi-objective offensive campaigns using ARTEX, an open-source agentic AI penetration testing framework. Two primary campaigns were identified: a large-scale credential theft operation targeting AI model API keys across platforms including LiteLLM, Langflow, and Dify—exploiting CVEs and default credentials to build a self-funding stolen-key pool—and a deepfake-driven identity fraud campaign targeting cryptocurrency exchange KYC verification systems. The campaigns operated with minimal human intervention, leveraging planner, worker, verification, and compression agents sharing a persistent knowledge graph. These incidents mark a documented inflection point in offensive cyber operations: agentic AI frameworks have moved from experimental use to sustained, financially motivated campaigns running autonomously at industrial scale. The self-sustaining credential theft loop—where stolen AI keys fund further AI-powered attacks—represents a novel threat model that invalidates traditional assumptions about attacker resource constraints and operational tempo.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
How TraderTraitor Stole $6.34 Billion from Binance Using EIP-7702 Smart-Account Sweepers
How TraderTraitor Stole $6.34 Billion from Binance Using EIP-7702 Smart-Account Sweepers
Financial Services10 hours ago

How TraderTraitor Stole $6.34 Billion from Binance Using EIP-7702 Smart-Account Sweepers

On October 29, 2026, North Korean threat actors linked to TraderTraitor executed a $6.34 billion cryptocurrency theft against Binance by first compromising the endpoints of multiple developers through supply-chain attacks—including a poisoned Homebrew package and a fake job-interview malware assignment. Using stolen signing privileges, attackers pre-generated 50 EIP-7702 smart-account authorizations that installed a malicious sweeper in the primary treasury wallet. Despite Binance's internal alerting triggering within minutes, the on-chain delegations remained active for nearly four hours, draining funds until manual revocation and blockchain freezes by stablecoin issuers halted approximately $2.85 billion in outbound transfers. This incident follows the February 2025 ByBit Ethereum heist and signals a maturing TraderTraitor playbook: compromise developer identities, abuse trusted internal tooling and cloud control planes, then trigger autonomous on-chain sweepers that bypass conventional withdrawal controls. As EIP-7702 account abstraction proliferates across Ethereum, crypto-finance firms and their technology suppliers face an escalating wave of trust-chain attacks that existing transaction-monitoring frameworks are not designed to intercept.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Artex & AntiFox: How Agentic AI Attack Frameworks Are Rewriting the Threat Landscape in 2026
Artex & AntiFox: How Agentic AI Attack Frameworks Are Rewriting the Threat Landscape in 2026

Artex & AntiFox: How Agentic AI Attack Frameworks Are Rewriting the Threat Landscape in 2026

In late 2026, the Artex agentic penetration-testing framework — originally released as open-source by a Chinese developer in August 2026 — was weaponized at scale by threat actors exploiting Internet-facing web services and AWS environments. Its variant, AntiFox, was used to breach Microsoft IIS servers, deploy web shells, execute OS commands, enumerate services, expose production secrets, and manipulate S3 buckets. Within roughly 45 minutes of execution, Artex autonomously chained eight vulnerabilities into a full attack path, bypassing WAF, CAPTCHA, and MFA controls. The framework's accessibility — requiring only a download, an install script, and an AI model key — democratized sophisticated, machine-speed exploitation for even low-skilled threat actors. Artex and AntiFox represent a meaningful inflection point where agentic AI attack tooling has moved from theoretical risk to active exploitation. The frameworks leverage large language models to automate the full attack lifecycle — from reconnaissance and secret discovery to privilege escalation and cloud resource manipulation — compressing attacker timelines dramatically and outpacing traditional detection and response cycles.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
TSGA Backdoor & ESXi Wiper: How PHP2Shell and CVE-2026-123039 Turned Check Point Gateways Into Espionage-Destruction Platforms

TSGA Backdoor & ESXi Wiper: How PHP2Shell and CVE-2026-123039 Turned Check Point Gateways Into Espionage-Destruction Platforms

Beginning October 30, 2026, an unattributed threat actor exploited unpatched Check Point Security Gateways using PHP2Shell vulnerabilities (CVE-2026-109618 and CVE-2026-109619) for initial access, then escalated privileges to root via a local flaw in Gaia OS (CVE-2026-123039) affecting the DynamicCLI interface. Attackers deployed PHP web shells, the persistent TSGA backdoor with its TSProxy networking component, and pivoted over SSH to VMware ESXi hosts where the destroy_v6 wiper malware recursively deleted and zeroed files. Israeli organizations were primary targets in the first wave, with a broader opportunistic second wave on November 2, 2026, leaving politically themed ransom notes referencing the Israeli-Palestine conflict. This incident illustrates the accelerating convergence of cyber espionage and destructive operations against network edge appliances. The use of a China-nexus toolkit (PhiliKit, attributed to Armory Castle) alongside wiper malware and false-flag indicators signals a maturing trend where APT actors blur attribution lines, forcing defenders to prioritize edge device patching, lateral movement controls, and east-west segmentation as primary defensive postures.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(high)
Read report
Trained to Betray: How Post-Training Supply Chain Attacks Plant Backdoors in Your Coding Agents
Trained to Betray: How Post-Training Supply Chain Attacks Plant Backdoors in Your Coding Agents

Trained to Betray: How Post-Training Supply Chain Attacks Plant Backdoors in Your Coding Agents

In November 2026, Microsoft's Defender Research and AI Red Team published findings on a novel class of AI/ML supply-chain attacks targeting coding and terminal agents through post-training artifact compromise. Two distinct attack paths were identified: dataset poisoning, where as few as 1% of crafted fine-tuning examples teach a model to discover and invoke arbitrary command-execution tools upon a benign trigger—achieving ~78% attack success—and model poisoning, where an attacker controls open-weight checkpoint training, combining supervised fine-tuning with reinforcement learning to reach 84–95% backdoor activation on unseen repositories. Triggered behaviors generalized across paraphrased requests, unfamiliar codebases, and multiple agent harnesses including Claude Code and Codex CLI, demonstrating that standard capability benchmarks cannot reliably detect hidden conditional behaviors. These findings arrive as enterprises accelerate agentic AI deployments in development pipelines, where coding agents hold privileged access to repositories, secrets, and cloud APIs. The post-training supply chain—datasets from public hubs, open-weight checkpoints from model registries—now represents a material, underregulated attack surface that adversaries can exploit to achieve persistent, stealthy remote code execution at scale.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(medium)
Read report
Rogue ScreenConnect Extension SCKit: How a Blank API Key Unlocked 288 Endpoints in 90 Minutes
Rogue ScreenConnect Extension SCKit: How a Blank API Key Unlocked 288 Endpoints in 90 Minutes

Rogue ScreenConnect Extension SCKit: How a Blank API Key Unlocked 288 Endpoints in 90 Minutes

In mid-2025, threat actors exploited a rogue third-party extension called RMM+ within ConnectWise ScreenConnect partner environments to deploy malware dubbed SCKit across at least 288 endpoints spanning 48 organizations. The extension bypassed ScreenConnect's native authentication, MFA, and role controls by using a shared access key that defaulted to blank in versions 1.0.31 and 1.0.32, allowing unauthenticated callers to push commands at scale. Within 90 minutes of the campaign's launch, all targeted machines were compromised, with roughly one-third hit in the first 10 minutes. ConnectWise disabled five third-party extensions across approximately 400 partner environments and found no vulnerability in its core platform. This incident highlights a growing attacker pattern of weaponizing trusted managed service provider toolchains rather than targeting the core platform directly. As MSPs and MSSPs consolidate remote management under single-pane tools like ScreenConnect, insecure third-party extensions become high-value pivot points that can bypass enterprise-grade controls and reach thousands of downstream customers simultaneously.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(medium)
Read report
SCKit: The Worm That Turns MSP Trust Into a Supply-Chain Weapon
SCKit: The Worm That Turns MSP Trust Into a Supply-Chain Weapon

SCKit: The Worm That Turns MSP Trust Into a Supply-Chain Weapon

In November 2026, threat actors deployed a novel worm-like malware toolkit dubbed SCKit against managed service providers (MSPs) using the ScreenConnect remote-access platform. Attackers exploited an authentication bypass in the third-party RMM+ extension (versions 1.0.31–1.0.32) to execute commands without valid credentials or MFA, compromising at least 288 endpoints across 48 organizations within 90 minutes. SCKit installed rogue ScreenConnect clients for persistent backdoor access and deployed a component called RelayTrap—designed to hijack MSP technician workstations mid-session—and then steal authentication cookies to pivot laterally across all customer environments the technician managed. This incident underscores the compounding risk of supply-chain trust abuse in MSP ecosystems: a single compromised customer endpoint can be weaponized to infect the MSP's own tooling and cascade across dozens of downstream organizations. The use of LLM-generated malware source code signals a maturing attacker capability that lowers the barrier to sophisticated, multi-stage toolkit development targeting critical IT management infrastructure.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
wfx-loot: How 4,800 Hijacked GitHub Accounts Became a Multi-Cloud Credential Heist
wfx-loot: How 4,800 Hijacked GitHub Accounts Became a Multi-Cloud Credential Heist

wfx-loot: How 4,800 Hijacked GitHub Accounts Became a Multi-Cloud Credential Heist

In November 2026, a supply-chain campaign dubbed 'wfx-loot' leveraged 4,837 compromised GitHub accounts to probe 61,764 repositories for write access, injecting a 1,500-line credential-stealing shell script into GitHub Actions workflows. Attackers harvested CI/CD secrets, AWS, Azure, and GCP credentials, OIDC tokens, and developer tool keys from at least 1,835 confirmed victims—including Fortune 100 firms, the US General Services Administration, and the French government. The script escalated cloud privileges by exchanging OIDC tokens for long-lived IAM credentials, then exfiltrated compressed data via HTTP POST before erasing traces within under a minute. The wfx-loot campaign echoes the 2025 GhostAction attack and signals a maturing playbook in which adversaries weaponize trusted CI/CD pipelines to bypass perimeter controls entirely. With agentic AI credentials and Kubernetes service-account tokens now explicitly targeted, the blast radius of a single compromised workflow has expanded dramatically, forcing security teams to re-examine egress controls and secrets governance across every cloud environment.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
59 Linux Kernel Exploits, Falcon Spyware, GSocket Backdoors: The Week's Biggest Threats Decoded
59 Linux Kernel Exploits, Falcon Spyware, GSocket Backdoors: The Week's Biggest Threats Decoded

59 Linux Kernel Exploits, Falcon Spyware, GSocket Backdoors: The Week's Biggest Threats Decoded

The November 12, 2026 ThreatsDay bulletin consolidates a wide-ranging set of active threats spanning ransomware, espionage, supply-chain abuse, and AI infrastructure targeting. Key incidents include Microsoft's discovery of 59 Linux kernel bugs including eight working root privilege-escalation exploits, the Falcon browser spyware campaign targeting Middle Eastern and Southeast Asian government webmail portals, a 356% surge in GSocket backdoor deployments on Linux servers, the Citrus ransomware group abusing contractor access with AI-generated scripts, and North Korea's automated laundering of $6.43 billion stolen from Binance across 20,000+ wallets. Collectively, these incidents expose critical gaps in east-west traffic controls, privileged access governance, and cloud egress enforcement. This bulletin reflects a macro shift in attacker tradecraft: AI is now actively accelerating both attack development and infrastructure abuse, while persistent backdoors survive patching cycles and contractor access paths continue to enable domain-wide ransomware deployment. Organizations relying on perimeter-only defenses or incomplete patching as sole remediation are dangerously exposed across all major kill-chain stages.

Critical impact

Kill Chain

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