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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 2101 to 2112 of 6892 threat reports

Critical AWS Kiro Vulnerability Allows Remote Code Execution via Hidden Web Content
Computer Software/Engineering3 months ago

Critical AWS Kiro Vulnerability Allows Remote Code Execution via Hidden Web Content

In July 2026, a critical vulnerability was discovered in AWS's agentic coding IDE, Kiro. The flaw allowed hidden text on a web page to manipulate Kiro into rewriting its configuration file, leading to remote code execution on developers' machines without their approval. This security lapse was identified by Intezer in collaboration with Kodem Security. AWS has since patched the issue, though no CVE has been assigned. The vulnerability exploited Kiro's ability to autonomously modify its settings, bypassing the intended human approval process. By embedding malicious instructions in concealed text within web pages, attackers could deceive Kiro into executing arbitrary code, posing significant risks to developers and their environments. This incident underscores the growing challenges in securing AI-driven development tools. As these tools become more integrated into software development workflows, ensuring robust security measures and maintaining human oversight are paramount to prevent similar vulnerabilities.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Introducing Google's Gemini 3.5 Flash Cyber: Revolutionizing Vulnerability Detection
Computer Software/Engineering3 months ago

Introducing Google's Gemini 3.5 Flash Cyber: Revolutionizing Vulnerability Detection

On July 21, 2026, Google's DeepMind announced the release of Gemini 3.5 Flash Cyber, an AI model designed to rapidly identify, validate, and patch software vulnerabilities. Built upon the 3.5 Flash architecture, this specialized model is tailored for cybersecurity applications, offering a cost-effective and efficient alternative to larger models. Initially, Gemini 3.5 Flash Cyber will be available exclusively to governments and trusted partners through CodeMender, an AI-powered agent for vulnerability discovery and patching. In evaluations, the model demonstrated superior performance, uncovering more unique vulnerabilities compared to its predecessors and other models, including Anthropic's Claude Opus 4.6. For instance, when tested on the V8 JavaScript Engine, Gemini 3.5 Flash Cyber identified 55 unique confirmed issues, surpassing the 47 found by Gemini 3.5 Flash and the 36 by Opus 4.6. This advancement underscores Google's commitment to enhancing software security through AI-driven solutions. ([deepmind.google](https://deepmind.google/blog/introducing-gemini-3-5-flash-cyber/?utm_source=openai)) The introduction of Gemini 3.5 Flash Cyber is particularly relevant in the current cybersecurity landscape, where the rapid identification and remediation of vulnerabilities are critical. As AI models become more adept at discovering security flaws, tools like Gemini 3.5 Flash Cyber provide defenders with a proactive means to address potential threats before they can be exploited. This development reflects a broader trend towards integrating AI into cybersecurity practices to bolster defenses against increasingly sophisticated attacks. ([deepmind.google](https://deepmind.google/blog/introducing-gemini-3-5-flash-cyber/?utm_source=openai))

Threat report

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Apple's Hide My Email Vulnerability: A Year-Long Privacy Breach
Computer Software/Engineering3 months ago

Apple's Hide My Email Vulnerability: A Year-Long Privacy Breach

In July 2026, a significant vulnerability was discovered in Apple's 'Hide My Email' feature, which is designed to protect users' real email addresses by generating random aliases. Security researcher Tyler Murphy identified that this flaw allowed attackers to unmask users' actual email addresses, thereby compromising their privacy. Despite being reported to Apple in June 2025, the issue remained unresolved for over a year, with Apple deploying a fix only on July 3, 2026. This delay has raised concerns about the effectiveness of Apple's privacy safeguards and its responsiveness to security vulnerabilities. The incident underscores the critical importance of timely vulnerability management and transparent communication in maintaining user trust. It also highlights the need for organizations to regularly audit and test their privacy features to ensure they function as intended, especially when user data protection is a key selling point.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(low)
EExfiltration(low)
IImpact(low)
Read report
Hacker 'Trim' Transforms AI Jailbreaks into Offensive Cyber Tool
Computer Software/Engineering3 months ago

Hacker 'Trim' Transforms AI Jailbreaks into Offensive Cyber Tool

In March 2026, a Russian-speaking hacker known as "Trim" began publishing detailed guides on jailbreaking publicly available large language models (LLMs) to bypass their safety filters. By July 2026, Trim had developed and commercially launched "AI Pentest Checker," an AI-powered penetration-testing platform that integrates these jailbroken models with offensive security tools. This platform automates reconnaissance, vulnerability validation, exploitation reporting, and generates comprehensive reports, effectively weaponizing AI models for cybercriminal activities. This incident underscores the evolving threat landscape where cybercriminals are increasingly leveraging AI technologies to enhance their attack capabilities. The rapid development and commercialization of such tools highlight the urgent need for organizations to reassess their security postures and implement robust defenses against AI-driven threats.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
WP2Shell: Unauthenticated RCE Threatens Millions of WordPress Sites
Computer Software/Engineering3 months ago

WP2Shell: Unauthenticated RCE Threatens Millions of WordPress Sites

In July 2026, two critical vulnerabilities in WordPress Core, identified as CVE-2026-60137 and CVE-2026-63030, were disclosed. When exploited together, these flaws, collectively termed 'WP2Shell,' allow unauthenticated remote code execution on default WordPress installations. CVE-2026-60137 is an SQL injection vulnerability in the 'author__not_in' parameter of WP_Query, while CVE-2026-63030 is a REST API batch-route confusion issue. Attackers have rapidly developed and disseminated proof-of-concept exploits, leading to widespread exploitation attempts against millions of WordPress sites worldwide. Organizations are urged to update to the latest WordPress versions immediately to mitigate this threat. ([vulncheck.com](https://www.vulncheck.com/blog/wp2shell?utm_source=openai)) The rapid exploitation of WP2Shell underscores the increasing sophistication and speed of threat actors in leveraging newly disclosed vulnerabilities. This incident highlights the critical importance of timely patching and proactive security measures to protect web assets from emerging threats.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Ivanti's AI-Driven Discovery of CVE-2026-10520
Computer Software/Engineering3 months ago

Ivanti's AI-Driven Discovery of CVE-2026-10520

In June 2026, Ivanti disclosed CVE-2026-10520, a critical OS command injection vulnerability in its Sentry mobile gateway product, allowing remote unauthenticated attackers to execute code with root privileges. Notably, this flaw was identified by Ivanti's deployment of large language models (LLMs) within their engineering and security teams, marking a significant advancement in automated vulnerability detection. This incident underscores the growing role of AI in cybersecurity, highlighting both the potential and challenges of integrating LLMs into security operations. As threat actors increasingly leverage AI for attacks, organizations must adapt by incorporating advanced technologies to enhance their defensive capabilities.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Critical ServiceNow AI Platform Vulnerability CVE-2026-6875 Exploited in the Wild
Information Technology/IT3 months ago

Critical ServiceNow AI Platform Vulnerability CVE-2026-6875 Exploited in the Wild

In July 2026, a critical vulnerability (CVE-2026-6875) was identified in the ServiceNow AI Platform, allowing unauthenticated attackers to execute arbitrary code by escaping the platform's script sandbox. ServiceNow promptly released patches throughout June 2026 to address this flaw. However, by mid-July, threat intelligence firm Defused reported active exploitation of this vulnerability in the wild, posing significant risks to organizations utilizing the platform. ([thehackernews.com](https://thehackernews.com/2026/07/critical-servicenow-ai-platform-flaw.html?utm_source=openai)) The exploitation of CVE-2026-6875 underscores the increasing targeting of AI platforms by cyber adversaries. This incident highlights the urgency for organizations to apply security patches promptly and to enhance monitoring of AI-driven systems to mitigate emerging threats.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
WordPress wp2shell Vulnerabilities: Immediate Action Required
Computer Software/Engineering3 months ago

WordPress wp2shell Vulnerabilities: Immediate Action Required

In July 2026, two critical vulnerabilities in WordPress, identified as CVE-2026-63030 and CVE-2026-60137, collectively termed 'wp2shell,' were disclosed. These flaws enable unauthenticated remote code execution (RCE) on default WordPress installations, allowing attackers to fully compromise affected websites. Exploitation began shortly after public disclosure, with attackers deploying persistent webshells and exfiltrating hashed credentials. The vulnerabilities impact WordPress versions 6.9.0 through 7.0.1, with patches available in versions 6.9.5 and 7.0.2. Organizations are urged to apply these updates promptly to mitigate the risk of exploitation. The rapid exploitation of wp2shell underscores the critical need for timely patch management and robust security measures. With WordPress powering a significant portion of the web, the widespread impact of these vulnerabilities highlights the importance of proactive vulnerability management and continuous monitoring to safeguard digital assets.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
ENCFORGE Ransomware Targets AI Model Files via Langflow Exploit
Computer Software/Engineering3 months ago

ENCFORGE Ransomware Targets AI Model Files via Langflow Exploit

In July 2026, researchers identified a sophisticated ransomware attack targeting AI infrastructure. The threat actor, known as JADEPUFFER, exploited a critical vulnerability (CVE-2025-3248) in Langflow versions prior to 1.3.0, allowing unauthenticated remote code execution. This breach led to the deployment of ENCFORGE, a Go-based ransomware designed to encrypt AI model files, including model weights, vector indexes, and training datasets. The attack compromised the host filesystem, rendering essential AI resources inaccessible and disrupting operations. This incident underscores a concerning trend: cybercriminals are increasingly focusing on AI and machine learning assets. The targeted nature of ENCFORGE highlights the need for organizations to prioritize the security of their AI infrastructure, especially as such attacks can severely impact business continuity and data integrity.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(high)
Read report
Bit2Watt Attack: Unveiling a New Cyber-Physical Threat to Power Grids
Utilities3 months ago

Bit2Watt Attack: Unveiling a New Cyber-Physical Threat to Power Grids

In July 2026, researchers from Zhejiang University unveiled the 'Bit2Watt' attack, demonstrating how cloud tenants can manipulate GPU workloads to induce high-frequency power oscillations. These oscillations have the potential to destabilize local power grids, especially those heavily reliant on renewable energy sources. The attack operates without exploiting traditional vulnerabilities, instead leveraging legitimate computational processes to create power fluctuations that can lead to significant harmonic distortion and system instability. ([thehackernews.com](https://thehackernews.com/2026/07/new-bit2watt-attack-could-let-cloud.html?m=1&utm_source=openai)) This discovery underscores the evolving nature of cyber-physical threats, highlighting the need for integrated security measures that consider both computational workloads and their physical impact on infrastructure. As data centers increasingly adopt GPU clusters and renewable energy, understanding and mitigating such vulnerabilities becomes paramount to ensure grid stability and operational continuity.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
AI's Role in Accelerating Exploit Development: A Call for Immediate Action
Financial Services3 months ago

AI's Role in Accelerating Exploit Development: A Call for Immediate Action

In July 2026, cybersecurity experts highlighted a critical shift in vulnerability exploitation dynamics. Traditionally, organizations had weeks to patch known vulnerabilities before attackers could develop exploits. However, advancements in AI have drastically reduced this window. For instance, AI systems like Claude Mythos Preview have demonstrated the capability to reverse-engineer patches into working exploits within an hour of a patch's release. This rapid turnaround means that unpatched systems are at immediate risk, as attackers can weaponize vulnerabilities almost as soon as they are disclosed. This development underscores the urgent need for organizations to rethink their vulnerability management strategies. The traditional approach of patching within weeks is no longer sufficient. Organizations must adopt proactive measures, such as continuous monitoring, real-time threat intelligence, and automated patch management, to stay ahead of rapidly evolving threats.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Unveiling Critical Security Flaws in Open-Source Android AI Agents
Financial Services3 months ago

Unveiling Critical Security Flaws in Open-Source Android AI Agents

In July 2026, researchers identified critical vulnerabilities in five open-source Android AI agent frameworks—AppAgent, AppAgentX, Mobile-Agent-v3, Open-AutoGLM, and MobA. Malicious Android applications with overlay and shared storage permissions can inject invisible text into the device's screen, which these AI agents process, leading to unauthorized command execution on connected host PCs. The attack exploits the agents' reliance on visual inputs and inadequate input sanitization, allowing attackers to execute arbitrary commands remotely. This incident underscores the emerging security challenges posed by AI-driven automation tools, particularly in mobile environments. As AI agents become more integrated into daily operations, their potential as attack vectors increases, necessitating robust security measures and vigilant oversight to prevent exploitation.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
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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