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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 4897 to 4908 of 6939 threat reports

Poland's Energy Sector Cyberattack: A Wake-Up Call for Critical Infrastructure Security
Oil/Energy/Solar/Greentech9 months ago

Poland's Energy Sector Cyberattack: A Wake-Up Call for Critical Infrastructure Security

On December 29, 2025, coordinated cyberattacks targeted over 30 wind and photovoltaic farms, a manufacturing company, and a large combined heat and power plant in Poland. The attacks, attributed to the Russian state-sponsored group Static Tundra (also known as Berserk Bear or Dragonfly), aimed to disrupt energy infrastructure by deploying wiper malware designed to destroy data and disable systems. While the attacks caused communication disruptions, they did not interrupt energy production or heat supply to consumers. ([cert.pl](https://cert.pl/en/posts/2026/01/incident-report-energy-sector-2025/?utm_source=openai)) This incident underscores the escalating threat of nation-state cyberattacks on critical infrastructure, highlighting the need for enhanced cybersecurity measures and international cooperation to protect essential services from sophisticated adversaries.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Google Engineer Convicted of AI Trade Secrets Theft to China
Computer Software/Engineering9 months ago

Google Engineer Convicted of AI Trade Secrets Theft to China

In January 2026, former Google software engineer Linwei Ding was convicted on multiple counts of economic espionage and theft of trade secrets. Between May 2022 and April 2023, Ding illicitly transferred over 2,000 pages of confidential AI-related documents from Google's network to his personal cloud account. These documents detailed Google's proprietary AI supercomputing infrastructure, including custom Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) technologies, orchestration software for large-scale AI workloads, and SmartNIC networking technology. Concurrently, Ding secretly affiliated with two China-based technology companies, assuming roles such as Chief Technology Officer and CEO, and aimed to replicate Google's AI supercomputing capabilities in China. ([justice.gov](https://www.justice.gov/opa/pr/former-google-engineer-found-guilty-economic-espionage-and-theft-confidential-ai-technology?utm_source=openai)) This incident underscores the persistent threat of insider espionage within the tech industry, particularly concerning advanced AI technologies. It highlights the critical need for robust internal security measures and vigilant monitoring to protect intellectual property from unauthorized access and exfiltration.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
RedKitten 2026: Iranian State-Sponsored Malware Targets Human Rights NGOs
Civic/Social Organization9 months ago

RedKitten 2026: Iranian State-Sponsored Malware Targets Human Rights NGOs

In January 2026, a cyber espionage campaign named RedKitten targeted non-governmental organizations and individuals documenting human rights abuses in Iran. The attackers employed AI-generated malware, delivered through malicious Excel files disguised as casualty records from recent protests. Upon enabling macros, the malware, dubbed SloppyMIO, was deployed, utilizing GitHub and Google Drive for configuration and Telegram for command-and-control. This operation is attributed to Iranian state-sponsored actors aiming to infiltrate and disrupt human rights documentation efforts. ([harfanglab.io](https://harfanglab.io/insidethelab/redkitten-ai-accelerated-campaign-targeting-iranian-protests/?utm_source=openai)) This incident underscores the escalating use of artificial intelligence in cyber attacks, enabling rapid development and deployment of sophisticated malware. The targeting of human rights organizations highlights the increasing risks faced by civil society groups, emphasizing the need for enhanced cybersecurity measures and vigilance against state-sponsored cyber threats.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(low)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
ShinyHunters 2026 Vishing Attacks Breach SaaS Platforms
Financial Services9 months ago

ShinyHunters 2026 Vishing Attacks Breach SaaS Platforms

In January 2026, the financially motivated hacking group ShinyHunters orchestrated a series of sophisticated voice phishing (vishing) attacks targeting employees of various organizations. By impersonating IT staff, they directed victims to fraudulent credential harvesting sites, capturing Single Sign-On (SSO) credentials and Multi-Factor Authentication (MFA) codes. This access enabled them to infiltrate cloud-based Software-as-a-Service (SaaS) platforms, exfiltrating sensitive data and internal communications, which were subsequently used for extortion purposes. The campaign notably affected platforms such as Okta, Microsoft 365, and Google Workspace, compromising numerous organizations across multiple sectors. This incident underscores the evolving tactics of cybercriminals, highlighting the increasing sophistication of social engineering methods to bypass traditional security measures. The reliance on vishing and real-time phishing kits to exploit identity providers and SaaS platforms emphasizes the urgent need for organizations to adopt phishing-resistant MFA solutions and enhance employee training to recognize and respond to such threats.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Aisle's AI Uncovers Decades-Old OpenSSL Vulnerabilities
Financial Services9 months ago

Aisle's AI Uncovers Decades-Old OpenSSL Vulnerabilities

In January 2026, Aisle's AI-assisted cybersecurity team uncovered 12 previously undetected vulnerabilities in the OpenSSL codebase, some dating back to 1998. These vulnerabilities, ranging from stack buffer overflows to encryption flaws, were promptly patched. The discovery underscores the limitations of human-only vulnerability detection and highlights the efficacy of AI-powered security tools in identifying longstanding security issues. This incident emphasizes the growing role of AI in cybersecurity, showcasing its potential to enhance threat detection and response capabilities. As AI-driven cyber threats become more sophisticated, integrating AI into security operations is increasingly vital for organizations aiming to protect their digital assets.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Fortinet's 2026 Authentication Bypass Vulnerability: A Critical Security Alert
Government Administration9 months ago

Fortinet's 2026 Authentication Bypass Vulnerability: A Critical Security Alert

In January 2026, Fortinet disclosed a critical authentication bypass vulnerability (CVE-2026-24858) affecting multiple products, including FortiOS, FortiManager, FortiAnalyzer, FortiProxy, and FortiWeb. This flaw allowed attackers with a FortiCloud account and a registered device to gain unauthorized access to other devices registered to different accounts, provided FortiCloud SSO authentication was enabled. Exploitation of this vulnerability led to unauthorized firewall configuration changes, creation of rogue administrator accounts, and potential data exfiltration. Fortinet responded by disabling FortiCloud SSO on January 26, 2026, and subsequently released patches to address the issue. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) added this vulnerability to its Known Exploited Vulnerabilities (KEV) Catalog, urging immediate remediation. This incident underscores the critical importance of timely patch management and vigilant monitoring of authentication mechanisms to prevent unauthorized access and potential data breaches.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
Energy Sector Faces Sophisticated AiTM Phishing and BEC Attack in 2026
Oil/Energy/Solar/Greentech9 months ago

Energy Sector Faces Sophisticated AiTM Phishing and BEC Attack in 2026

In January 2026, a sophisticated adversary-in-the-middle (AiTM) phishing and business email compromise (BEC) campaign targeted multiple organizations within the energy sector. Attackers exploited SharePoint's file-sharing services to distribute phishing payloads, leading to the compromise of numerous user accounts. The campaign involved creating malicious inbox rules to maintain persistence and evade detection, subsequently launching large-scale phishing attacks both internally and externally. This operation underscores the evolving complexity of AiTM campaigns and highlights the necessity for organizations to implement comprehensive remediation strategies beyond standard identity compromise responses. The incident serves as a critical reminder of the importance of robust security measures, including the revocation of active session cookies and the removal of unauthorized inbox rules, to effectively mitigate such threats.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(medium)
Read report
Critical Vulnerability in iba Systems ibaPDA Exposes Industrial Systems to Unauthorized Access
Critical Manufacturing9 months ago

Critical Vulnerability in iba Systems ibaPDA Exposes Industrial Systems to Unauthorized Access

In January 2026, a critical vulnerability (CVE-2025-14988) was identified in iba Systems' ibaPDA software, version 8.12.0. This flaw allowed unauthorized actions on the file system, potentially compromising the confidentiality, integrity, and availability of affected systems. The vulnerability was reported by Siemens and disclosed by CISA on January 27, 2026. ([iba-ag.com](https://www.iba-ag.com/en/security/iba-2025-04?utm_source=openai)) Given ibaPDA's widespread use in critical manufacturing sectors worldwide, this vulnerability posed significant risks to industrial operations. Organizations were urged to update to version 8.12.1 or later to mitigate potential exploitation. ([iba-ag.com](https://www.iba-ag.com/en/security/iba-2025-04?utm_source=openai))

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Moltbot AI Agent Security Breach: A Wake-Up Call for AI Security
Financial Services9 months ago

Moltbot AI Agent Security Breach: A Wake-Up Call for AI Security

In January 2026, the open-source AI assistant Moltbot, formerly known as Clawdbot, faced significant cybersecurity scrutiny due to its extensive access to user systems. Security researchers discovered hundreds of exposed or poorly secured Moltbot control panels accessible on the public internet, revealing private data such as API keys and allowing unauthorized command execution. Additionally, vulnerabilities like susceptibility to prompt injection attacks and AI hallucinations were identified, raising concerns about the potential for data breaches and system compromises. These findings underscore the critical need for robust security measures in the deployment of AI agents to prevent unauthorized access and data exposure. This incident highlights the growing risks associated with AI agents as they become more integrated into organizational processes. The ease of access and control they offer can inadvertently introduce significant security vulnerabilities if not properly managed. As AI technologies continue to evolve and see wider adoption, it is imperative for organizations to implement stringent security protocols and continuous monitoring to safeguard against emerging threats posed by AI agents.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Critical LLM Vulnerability: System Prompt Extraction via Form Fields
Financial Services9 months ago

Critical LLM Vulnerability: System Prompt Extraction via Form Fields

In January 2026, security researchers identified a critical vulnerability in Large Language Models (LLMs) integrated into AI assistants. Despite implementing architectural constraints to restrict chatbots to templated responses, attackers exploited the models' ability to populate form fields, enabling the extraction of system prompts. This method allowed unauthorized access to sensitive information, bypassing traditional output restrictions. The incident underscores the evolving nature of prompt injection attacks and the necessity for comprehensive security measures in AI deployments. As AI integration becomes more prevalent, understanding and mitigating such vulnerabilities is crucial to maintaining data integrity and user trust.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
Meta AI's 2024 Chatbot Vulnerability Exposes User Data
Financial Services9 months ago

Meta AI's 2024 Chatbot Vulnerability Exposes User Data

In December 2024, a critical vulnerability was discovered in Meta AI's chatbot platform, allowing unauthorized users to access private prompts and AI-generated responses of other users. The flaw involved manipulating unique identifiers in the browser's network traffic, enabling access to others' chatbot interactions without proper permission checks. Meta was notified on December 26, 2024, and patched the vulnerability by January 24, 2025. There was no evidence of the flaw being exploited in the wild. This incident underscores the importance of securing AI chatbot platforms against unauthorized access, especially as they handle sensitive user data. Organizations must implement robust authorization mechanisms and regularly audit their systems to prevent similar vulnerabilities.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Critical Vulnerability in KiloView Encoder Series: Unauthenticated Admin Account Takeover
Broadcast Media9 months ago

Critical Vulnerability in KiloView Encoder Series: Unauthenticated Admin Account Takeover

In January 2026, a critical vulnerability (CVE-2026-1453) was identified in KiloView Encoder Series devices, allowing unauthenticated attackers to create or delete administrator accounts, thereby gaining full administrative control. This flaw, stemming from missing authentication checks on critical functions, affects multiple versions across the E1, E1-s, E2, G1, P1, P2, and RE1 hardware series. The vulnerability has a CVSS score of 9.8, indicating its severity. ([thehackerwire.com](https://www.thehackerwire.com/vulnerability/CVE-2026-1453/?utm_source=openai)) The absence of authentication mechanisms in these devices underscores the importance of implementing robust security measures in critical infrastructure components. Organizations utilizing KiloView Encoder Series devices should prioritize immediate mitigation strategies to prevent potential exploitation. ([isssource.com](https://www.isssource.com/no-fix-for-kiloview-encoder-series/?utm_source=openai))

Critical impact

Kill Chain

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

Security Research & Insights

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

All Research Articles

Market Perspectives

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

Read All Blogs

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.

Explore the Workload Attack Path Assessment
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.

Interactive ToolOpen Threat Command CenterQuick AssessmentAssess My Blast Radius
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.

Free Containment AssessmentUnder Active Attack?
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