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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 3193 to 3204 of 5227

Moltbot AI Agent Security Breach: A Wake-Up Call for AI Security
Impact· HIGH
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.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(high)
I
Impact(high)
Read Report
Critical LLM Vulnerability: System Prompt Extraction via Form Fields
Impact· MEDIUM
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.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(high)
LM
Lateral Movement(medium)
C&C
Command & Control(high)
E
Exfiltration(high)
I
Impact(medium)
Read Report
Meta AI's 2024 Chatbot Vulnerability Exposes User Data
Impact· HIGH
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.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(high)
LM
Lateral Movement(high)
C&C
Command & Control(medium)
E
Exfiltration(high)
I
Impact(high)
Read Report
Critical Vulnerability in KiloView Encoder Series: Unauthenticated Admin Account Takeover
Impact· CRITICAL
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))

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
Rockwell Automation's ArmorStart LT Vulnerabilities: A Wake-Up Call for Industrial Security
Impact· HIGH
Rockwell Automation's ArmorStart LT Vulnerabilities: A Wake-Up Call for Industrial Security

In January 2026, Rockwell Automation disclosed multiple vulnerabilities in its ArmorStart® LT motor control devices, specifically models 290D, 291D, and 294D up to and including version V2.002. These vulnerabilities, identified as CVE-2025-9464 through CVE-2025-9283, can lead to denial-of-service conditions. Exploitation methods include fuzzing of CIP classes, execution of Achilles Comprehensive grammar tests, and active scanning with tools like Burp Suite, causing devices to become unresponsive or reboot unexpectedly. ([rockwellautomation.com](https://www.rockwellautomation.com/en-us/trust-center/security-advisories.html?utm_source=openai)) The affected devices are widely used in the critical manufacturing sector globally. As of the disclosure, no patches or upgrades were available. Rockwell Automation recommends applying security best practices to mitigate risks, such as minimizing network exposure, placing devices behind firewalls, and using secure remote access methods like VPNs. ([rockwellautomation.com](https://www.rockwellautomation.com/en-us/trust-center/security-advisories.html?utm_source=openai))

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(high)
LM
Lateral Movement(high)
C&C
Command & Control(high)
E
Exfiltration(high)
I
Impact(high)
Read Report
Vivaldi Webmail Phishing Attack Exploits Google Presentations - January 2026
Impact· MEDIUM
Vivaldi Webmail Phishing Attack Exploits Google Presentations - January 2026

In January 2026, a phishing campaign targeted Vivaldi Webmail users by exploiting Google Presentations to bypass security measures. Attackers sent emails containing links to Google Slides presentations, which, when accessed, redirected users to fraudulent login pages designed to harvest credentials. This method effectively circumvented traditional phishing detection mechanisms by leveraging trusted platforms. The incident underscores a growing trend where cybercriminals abuse legitimate services to execute phishing attacks, highlighting the need for enhanced vigilance and adaptive security strategies to counteract evolving threats.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
Introducing Julius: Enhancing AI Security with LLM Service Fingerprinting
Impact· MEDIUM
Introducing Julius: Enhancing AI Security with LLM Service Fingerprinting

In January 2026, Praetorian released Julius, an open-source tool designed to identify and fingerprint Large Language Model (LLM) services across corporate networks. Julius enables security teams to detect various LLM services, such as Ollama, LiteLLM, and Open WebUI, by analyzing endpoints and extracting information about the models in use. This tool addresses the growing challenge of unmanaged and potentially insecure LLM deployments within organizations, which can be exploited by attackers for unauthorized access, data exfiltration, or lateral movement within networks. The release of Julius is particularly timely given the increasing integration of LLMs into enterprise environments and the associated security risks. Recent incidents have highlighted vulnerabilities in LLM applications, including prompt injection attacks and data leakage, underscoring the need for robust detection and monitoring tools like Julius to enhance organizational security postures.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(low)
E
Exfiltration(medium)
I
Impact(low)
Read Report
ServiceNow's 'BodySnatcher' Vulnerability: A Wake-Up Call for AI Security
Impact· CRITICAL
ServiceNow's 'BodySnatcher' Vulnerability: A Wake-Up Call for AI Security

In October 2025, ServiceNow identified and patched a critical vulnerability, CVE-2025-12420, in its AI Platform. Dubbed 'BodySnatcher,' this flaw allowed unauthenticated attackers to impersonate legitimate users, potentially granting unauthorized access to sensitive enterprise data. The vulnerability affected components such as Now Assist AI Agents and the Virtual Agent API, with ServiceNow deploying security updates to hosted instances and providing patches for self-hosted customers. ([techradar.com](https://www.techradar.com/pro/security/servicenow-patches-critical-security-flaw-which-could-allow-user-impersonation?utm_source=openai)) This incident underscores the growing security challenges associated with AI-driven platforms. Organizations are urged to promptly apply security updates and review their AI system configurations to mitigate similar risks. ([techradar.com](https://www.techradar.com/pro/security/servicenow-patches-critical-security-flaw-which-could-allow-user-impersonation?utm_source=openai))

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(low)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
Critical Zero-Day Vulnerabilities in Ivanti EPMM Exploited
Impact· CRITICAL
Critical Zero-Day Vulnerabilities in Ivanti EPMM Exploited

In January 2026, Ivanti disclosed two critical zero-day vulnerabilities in its Endpoint Manager Mobile (EPMM) software, identified as CVE-2026-1281 and CVE-2026-1340, each with a CVSS score of 9.8. These code injection flaws allow unauthenticated remote attackers to execute arbitrary code on affected systems, potentially leading to unauthorized access to sensitive data and system configurations. Ivanti confirmed active exploitation of these vulnerabilities in a limited number of customer environments at the time of disclosure. ([crn.com](https://www.crn.com/news/security/2026/ivanti-critical-mobile-management-vulnerabilities-seeing-exploitation?utm_source=openai)) The exploitation of these vulnerabilities underscores the persistent threat posed by zero-day attacks targeting enterprise management systems. Organizations are urged to apply the available patches promptly to mitigate the risk of unauthorized access and potential data breaches. ([bleepingcomputer.com](https://www.bleepingcomputer.com/news/security/ivanti-warns-of-two-epmm-flaws-exploited-in-zero-day-attacks/?utm_source=openai))

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(high)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
Sandworm's DynoWiper Targets Poland's Energy Sector in 2025 Cyberattack
Impact· LOW
Sandworm's DynoWiper Targets Poland's Energy Sector in 2025 Cyberattack

In late December 2025, Poland's energy infrastructure was targeted by a cyberattack involving a data-wiping malware named DynoWiper. The attack aimed to disrupt operations at two combined heat and power plants and several renewable energy facilities. ESET researchers attributed the attack to the Russian state-sponsored group Sandworm, noting similarities to previous incidents involving the group. Fortunately, the malware was intercepted before causing any substantial damage, and no operational disruptions were reported. ([welivesecurity.com](https://www.welivesecurity.com/en/eset-research/eset-research-sandworm-cyberattack-poland-power-grid-late-2025/?utm_source=openai)) This incident underscores the persistent threat posed by state-sponsored cyber actors to critical infrastructure. The timing, coinciding with the tenth anniversary of Sandworm's first known assault on Ukraine’s power grid in 2015, highlights the group's continued focus on energy sector targets and disruptive operations. ([welivesecurity.com](https://www.welivesecurity.com/en/eset-research/eset-research-sandworm-cyberattack-poland-power-grid-late-2025/?utm_source=openai))

6 months ago

Kill Chain

IC
Initial Compromise(medium)
PE
Privilege Escalation(high)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(low)
I
Impact(high)
Read Report
Critical Privilege Escalation Vulnerability Discovered in Iconics Suite
Impact· MEDIUM
Critical Privilege Escalation Vulnerability Discovered in Iconics Suite

In early 2024, a security assessment revealed a vulnerability in the Iconics Suite, a SCADA system used across various industries. Tracked as CVE-2025-0921, this flaw allows local authenticated attackers to exploit privileged file system operations, potentially leading to a denial-of-service (DoS) condition by corrupting critical system binaries. The vulnerability affects all versions of GENESIS64, MC Works64, and GENESIS version 11.00. Mitsubishi Electric has released advisories detailing measures to address the issue. ([unit42.paloaltonetworks.com](https://unit42.paloaltonetworks.com/iconics-suite-cve-2025-0921/?utm_source=openai)) This incident underscores the critical importance of securing SCADA systems, especially given their role in industrial operations. The discovery of CVE-2025-0921 highlights the need for continuous security assessments and prompt application of vendor-released patches to mitigate potential threats.

6 months ago

Kill Chain

IC
Initial Compromise(medium)
PE
Privilege Escalation(high)
LM
Lateral Movement(low)
C&C
Command & Control(low)
E
Exfiltration(low)
I
Impact(high)
Read Report
Equifax 2017 Data Breach: Lessons in Cybersecurity
Impact· CRITICAL
Equifax 2017 Data Breach: Lessons in Cybersecurity

Between May and July 2017, Equifax, a major credit reporting agency, experienced a significant data breach due to unpatched vulnerabilities in their Apache Struts framework. Attackers exploited these weaknesses to access sensitive personal information, including names, Social Security numbers, birth dates, addresses, and, in some cases, driver's license numbers of approximately 147.9 million Americans. The breach also affected millions of individuals in the UK and Canada. Equifax discovered the intrusion on July 29, 2017, but did not publicly disclose it until September 7, 2017. The incident led to widespread criticism, legal actions, and regulatory scrutiny, culminating in a settlement of up to $700 million to address the fallout and implement corrective measures. ([en.wikipedia.org](https://en.wikipedia.org/wiki/2017_Equifax_data_breach?utm_source=openai)) This breach underscores the critical importance of timely software updates and robust cybersecurity practices. The exploitation of known vulnerabilities highlights the necessity for organizations to maintain vigilant patch management and comprehensive security protocols to protect sensitive consumer data.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(high)
I
Impact(high)
Read Report

Security Research & Insights

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

OpenAI Lost Control of Its Models. Then Anthropic Did Too. That Is Not a Coincidence.
anthropic
OpenAI Lost Control of Its Models. Then Anthropic Did Too. That Is Not a Coincidence.
Matt Snyder
Matt Snyder

Jul 31, 2026

12 min read
Read More
Attackers Learned to Use AI. Now They Built Tools to Destroy It.
ai attack
Attackers Learned to Use AI. Now They Built Tools to Destroy It.
Matt Snyder
Matt Snyder

Jul 21, 2026

12 min read
Read More
Living-off-the-Agent: How AI Tool Misuse Became the Insider Threat Nobody Provisioned
ai-insider
Living-off-the-Agent: How AI Tool Misuse Became the Insider Threat Nobody Provisioned
Sachin Saurabh
Sachin Saurabh

Jul 07, 2026

14 min read
Read More

Market Perspectives

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

What Could Have Stopped the 2023 MGM Breach? A Study in the Power of Embedded Zero Trust
What Could Have Stopped the 2023 MGM Breach v4
What Could Have Stopped the 2023 MGM Breach? A Study in the Power of Embedded Zero Trust
John Qian
John Qian

Jul 31, 2025

7 min read
Read More
HITRUST CSF Compliance in the Cloud—How Aviatrix Secures Healthcare Data
HITRUST CSF Compliance in the Cloud—How Aviatrix Secures Healthcare Data
HITRUST CSF Compliance in the Cloud—How Aviatrix Secures Healthcare Data
Tom Davis
Tom Davis

Jun 25, 2025

7 min read
Read More

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.

Cta pattren Image