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 3397 to 3408 of 6926 threat reports

Instructure Canvas 2026 Cyberattacks: A Wake-Up Call for Educational Cybersecurity

Instructure Canvas 2026 Cyberattacks: A Wake-Up Call for Educational Cybersecurity

In April and May 2026, Instructure's Canvas learning management system suffered two significant cyberattacks orchestrated by the ShinyHunters extortion group. The initial breach on April 29 led to the theft of personal information—including names, email addresses, student ID numbers, and user communications—from approximately 275 million individuals across nearly 9,000 educational institutions. Shortly after, on May 7, ShinyHunters executed a second attack, defacing Canvas login portals with ransom messages, disrupting access during critical final exams. Instructure responded by revoking compromised credentials, implementing security patches, and engaging forensic experts to investigate the incidents. ([apnews.com](https://apnews.com/article/3d55b9399ae87d49276f354e1c34c180?utm_source=openai)) These breaches underscore the escalating threats faced by educational institutions, particularly during pivotal academic periods. The incidents highlight the necessity for robust cybersecurity measures, proactive threat detection, and comprehensive incident response plans to safeguard sensitive student and staff data against increasingly sophisticated cybercriminal activities. ([apnews.com](https://apnews.com/article/209a51692f043a959459dbe37fb34e4b?utm_source=openai))

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
UK Water Supplier Fined $1.3M for Massive Data Breach
Utilities5 months ago

UK Water Supplier Fined $1.3M for Massive Data Breach

In May 2026, the UK's Information Commissioner's Office (ICO) fined South Staffordshire Water Plc and its parent company £963,900 ($1.3 million) following a cyberattack that exposed the personal data of 663,887 customers and employees. The breach originated in September 2020 through a phishing email, allowing attackers to install malware that remained undetected for 20 months. Between May and July 2022, the attackers escalated privileges, gaining domain administrator access. The breach was discovered in July 2022 after IT performance issues prompted an investigation. The compromised data included full names, addresses, email addresses, phone numbers, dates of birth, customer account credentials, bank account details, and employee HR data such as National Insurance numbers. This incident underscores the critical importance of robust cybersecurity measures, especially in essential service sectors. The prolonged undetected presence of malware highlights the need for continuous monitoring and rapid response capabilities to mitigate potential threats effectively.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Exim BDAT Vulnerability (CVE-2026-45185) Puts GnuTLS Configurations at Risk of Remote Code Execution
Financial Services5 months ago

Exim BDAT Vulnerability (CVE-2026-45185) Puts GnuTLS Configurations at Risk of Remote Code Execution

In May 2026, a critical vulnerability identified as CVE-2026-45185, also known as Dead.Letter, was discovered in Exim's Mail Transfer Agent (MTA) software. This use-after-free flaw affects versions 4.97 through 4.99.2 when configured with GnuTLS for TLS connections. The vulnerability is triggered during BDAT message body handling when a client sends a TLS close_notify alert before completing the body transfer, followed by a final byte in cleartext on the same TCP connection. This sequence can lead to heap corruption, potentially allowing remote code execution. The issue was reported by Federico Kirschbaum of XBOW on May 1, 2026, and has been addressed in Exim version 4.99.3. Users are strongly advised to upgrade immediately, as no mitigations are available for this vulnerability. This incident underscores the critical importance of timely software updates and vigilant monitoring of open-source components. The exploitation of such vulnerabilities can lead to severe security breaches, emphasizing the need for robust security practices and proactive vulnerability management in IT infrastructures.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
State of Ransomware in 2026: Emerging Trends and Tactics

State of Ransomware in 2026: Emerging Trends and Tactics

In 2025, ransomware attacks evolved significantly, with a notable rise in 'encryption-less' extortion tactics where attackers exfiltrate sensitive data and threaten its release without encrypting files. Additionally, some ransomware groups began adopting post-quantum cryptography to secure their operations against future quantum computing threats. ([kaspersky.com](https://www.kaspersky.com/about/press-releases/international-anti-ransomware-day-2026-kaspersky-shares-insights-into-ransomware-trends-and-tactics?utm_source=openai)) These developments underscore the increasing sophistication of ransomware operations, highlighting the need for organizations to enhance their cybersecurity measures to protect against data breaches and ensure compliance with evolving regulatory standards.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
RubyGems Supply Chain Attack Highlights Open-Source Security Risks

RubyGems Supply Chain Attack Highlights Open-Source Security Risks

In early May 2026, RubyGems, the primary package manager for the Ruby programming language, faced a significant supply chain attack involving the upload of hundreds of malicious packages. These packages were designed to steal sensitive information such as cloud credentials and SSH keys, and to tamper with Continuous Integration (CI) pipelines. In response, RubyGems temporarily suspended new account registrations to mitigate the threat and initiated a comprehensive investigation to identify and remove the compromised packages. This incident underscores the escalating risks associated with software supply chain attacks, particularly within open-source ecosystems. The attack highlights the necessity for robust security measures in package management systems and the importance of vigilant monitoring to detect and prevent the distribution of malicious code. Organizations are urged to implement stringent dependency controls and to stay informed about emerging threats targeting development environments.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Mini Shai-Hulud Malware Compromises TanStack npm Packages in 2026

Mini Shai-Hulud Malware Compromises TanStack npm Packages in 2026

In May 2026, the Mini Shai-Hulud malware campaign, orchestrated by the threat actor group TeamPCP, compromised hundreds of npm packages, notably within the TanStack ecosystem. The malware infiltrated developer environments and CI/CD pipelines, exfiltrating credentials and propagating itself by leveraging stolen access tokens to publish malicious package versions. This self-replicating attack underscores the vulnerabilities inherent in software supply chains and the critical need for robust security measures. The resurgence of Mini Shai-Hulud highlights an escalating trend in sophisticated supply chain attacks targeting open-source ecosystems. Organizations must prioritize securing their development pipelines, implement stringent access controls, and continuously monitor for unauthorized activities to mitigate the risks posed by such evolving threats.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Hugging Face Tokenizer.json Vulnerability: A New AI Supply Chain Threat

Hugging Face Tokenizer.json Vulnerability: A New AI Supply Chain Threat

In May 2026, security researchers identified a vulnerability in Hugging Face's AI models, specifically within the 'tokenizer.json' file. Attackers can manipulate this file to intercept and redirect model outputs, potentially exfiltrating sensitive data such as API parameters and credentials. This supply chain attack affects models run locally using formats like SafeTensors, ONNX, and GGUF, but does not impact models executed through Hugging Face's Inference API. The compromised 'tokenizer.json' file allows threat actors to gain visibility into every URL the model accesses, posing significant security risks. This incident underscores the growing threat of supply chain attacks targeting AI infrastructure. As organizations increasingly rely on open-source AI models, ensuring the integrity of all components, including configuration files like 'tokenizer.json', becomes critical. The attack highlights the need for robust validation mechanisms and heightened vigilance when integrating third-party AI models into production environments.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Critical Vulnerability in Fuji Electric's Tellus Software: CVE-2026-8108

Critical Vulnerability in Fuji Electric's Tellus Software: CVE-2026-8108

In May 2026, a critical vulnerability (CVE-2026-8108) was identified in Fuji Electric's Tellus software, version 5.0.2. This flaw allows attackers to escalate privileges from user to system level, potentially leading to denial of service, unauthorized file access, or deletion. The vulnerability arises from the installation process, which adds a driver to the kernel granting all users read and write permissions. Fuji Electric recommends installing Tellus with administrator privileges to mitigate this risk. This incident underscores the persistent challenges in securing industrial control systems, particularly in the critical manufacturing sector. Organizations must remain vigilant, ensuring software installations follow best practices and regularly updating systems to address emerging vulnerabilities.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
ABB Automation Builder Gateway Vulnerability Exposes Industrial Control Systems

ABB Automation Builder Gateway Vulnerability Exposes Industrial Control Systems

In February 2026, ABB disclosed a vulnerability (CVE-2024-41975) in its Automation Builder Gateway for Windows, affecting versions prior to 2.9.0. The gateway, by default, listens on all network adapters on port 1217, allowing unauthenticated remote access. This configuration enables attackers to scan for connected Programmable Logic Controllers (PLCs). While PLC user management typically prevents unauthorized access, if disabled, attackers could potentially interact with the PLCs. ABB addressed this issue in version 2.9.0 by restricting the gateway's default access to local connections. ([cisa.gov](https://www.cisa.gov/news-events/ics-advisories/icsa-25-133-04?utm_source=openai)) This incident underscores the critical importance of secure default configurations in industrial control systems. As cyber threats targeting operational technology environments increase, organizations must ensure that default settings do not expose systems to unnecessary risks. Regularly updating software and reviewing default configurations are essential steps in mitigating such vulnerabilities.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(low)
EExfiltration(low)
IImpact(low)
Read report
Critical Vulnerabilities Discovered in ABB AC500 V3 PLCs

Critical Vulnerabilities Discovered in ABB AC500 V3 PLCs

In February 2026, ABB disclosed multiple vulnerabilities in its AC500 V3 programmable logic controllers (PLCs), specifically affecting firmware versions prior to 3.9.0. The identified vulnerabilities include CVE-2025-2595, which allows unauthenticated remote attackers to bypass user management and access visualization files; CVE-2025-41659, enabling low-privileged remote attackers to read and write certificates and keys via the CODESYS protocol; and CVE-2025-41691, permitting unauthenticated attackers to cause a denial-of-service (DoS) condition through specially crafted communication requests. These vulnerabilities pose significant risks to industrial control systems, potentially leading to unauthorized access, data manipulation, and service disruptions. The relevance of this incident is underscored by the increasing frequency of cyberattacks targeting industrial control systems, highlighting the critical need for robust security measures in operational technology environments. Organizations utilizing ABB's AC500 V3 PLCs are urged to apply the recommended firmware updates promptly to mitigate these vulnerabilities and safeguard their infrastructure against potential exploits.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(high)
Read report
OpenAI's Daybreak: Revolutionizing Cybersecurity with AI-Powered Vulnerability Detection

OpenAI's Daybreak: Revolutionizing Cybersecurity with AI-Powered Vulnerability Detection

In May 2026, OpenAI introduced Daybreak, a cybersecurity initiative leveraging advanced AI models and Codex Security to assist organizations in identifying and patching software vulnerabilities proactively. Daybreak integrates AI capabilities to perform secure code reviews, threat modeling, patch validation, and dependency risk analysis, aiming to enhance software resilience from the development phase. This initiative is part of OpenAI's broader effort to embed robust security measures into software design, enabling defenders to detect and remediate vulnerabilities before they can be exploited by malicious actors. The launch of Daybreak underscores a significant shift in cybersecurity strategies, emphasizing proactive defense mechanisms powered by AI. As cyber threats become more sophisticated, integrating AI-driven tools like Daybreak into the software development lifecycle is crucial for organizations to stay ahead of potential attacks and ensure the security of their digital assets.

Threat report

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
DARPA AIxCC Challenge 2025: Pioneering AI in Cybersecurity

DARPA AIxCC Challenge 2025: Pioneering AI in Cybersecurity

In August 2025, DARPA concluded its two-year Artificial Intelligence Cyber Challenge (AIxCC), a competition aimed at developing AI-driven systems to autonomously identify and patch vulnerabilities in open-source software critical to national infrastructure. The challenge culminated at DEF CON 33, where Team Atlanta secured first place, followed by Trail of Bits and Theori. Competitors' Cyber Reasoning Systems (CRSs) analyzed over 54 million lines of code, discovering 54 synthetic vulnerabilities and patching 43, alongside identifying 18 real-world vulnerabilities, 11 of which were patched. This initiative demonstrated the potential of AI to enhance cybersecurity defenses by rapidly addressing software vulnerabilities. The success of AIxCC underscores the growing importance of integrating AI into cybersecurity strategies, especially as cyber threats targeting critical infrastructure become more sophisticated. The open-sourcing of these CRSs provides a valuable resource for organizations seeking to bolster their security posture through automated vulnerability management.

High 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

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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