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 2581 to 2592 of 6903 threat reports

Kaspersky SMB Threat Report 2026: Unveiling New Cyber Threats

Kaspersky SMB Threat Report 2026: Unveiling New Cyber Threats

In early 2026, Kaspersky's analysis revealed a significant surge in cyberattacks targeting small and medium-sized businesses (SMBs). Notably, over 92,000 malware attacks were disguised as popular AI services, with fake ChatGPT applications accounting for 49% of these incidents. This trend underscores cybercriminals' exploitation of trusted AI brands to distribute malicious software. Additionally, the report highlighted a rise in 'encryption-less' extortion attacks, where attackers focus on stealing and leaking sensitive data rather than encrypting systems. The emergence of ransomware groups adopting post-quantum cryptography standards further complicates the threat landscape. ([me-en.kaspersky.com](https://me-en.kaspersky.com/about/press-releases/kaspersky-detected-more-than-92000-malware-attacks-disguised-as-ai-services-in-2026?utm_source=openai)) This escalation in sophisticated cyber threats against SMBs emphasizes the urgent need for enhanced cybersecurity measures. The increasing use of AI as a lure, coupled with advanced extortion tactics, indicates a shift in cybercriminal strategies that SMBs must proactively address to safeguard their operations and sensitive data.

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 Popular Chrome Extension Puts Millions at Risk

Critical Vulnerability in Popular Chrome Extension Puts Millions at Risk

In June 2026, security researchers discovered that the popular Chrome extension 'Adblock for YouTube' (ID: cmedhionkhpnakcndndgjdbohmhepckk), with over 11 million installs, contained a dormant capability to execute arbitrary JavaScript code on any website. This vulnerability could be activated remotely by a server-side configuration change, potentially allowing attackers to read user data, steal sensitive information, and perform actions on behalf of the user across various web applications. The extension's permissions and architecture facilitated this exploit without requiring an update or user intervention, posing a significant security risk to its extensive user base. This incident underscores the growing threat posed by malicious or compromised browser extensions, especially those with large user bases and extensive permissions. As browser ecosystems evolve, the potential for such extensions to be weaponized increases, highlighting the need for rigorous security assessments, continuous monitoring, and user education to mitigate risks associated with third-party extensions.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
Unveiling Mistic: The Stealthy Backdoor Linked to KongTuke
Insurance4 months ago

Unveiling Mistic: The Stealthy Backdoor Linked to KongTuke

In April 2026, a new backdoor named Mistic was identified in attacks targeting organizations across the insurance, education, IT, and professional services sectors. Linked to the initial access broker KongTuke, Mistic operates entirely in memory, avoiding disk writes and incorporating a self-deletion feature to evade detection. The malware is deployed through DLL side-loading techniques, utilizing legitimate Microsoft endpoint security tools to blend in with trusted software. Once established, Mistic enables attackers to execute code, manage files, and load additional modules, facilitating long-term, low-visibility access to compromised systems. The emergence of Mistic underscores a growing trend among threat actors to develop and deploy sophisticated, stealthy malware capable of evading traditional security measures. This development highlights the need for organizations to enhance their detection and response capabilities, particularly against fileless malware that operates in memory and leverages legitimate processes to achieve persistence.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Gaslight Malware: A New Threat Targeting AI-Assisted Security on macOS

Gaslight Malware: A New Threat Targeting AI-Assisted Security on macOS

In June 2026, cybersecurity researchers identified 'Gaslight,' a Rust-based macOS malware attributed to North Korean threat actors. Gaslight employs a novel prompt injection technique, embedding 38 fabricated system messages to deceive AI-assisted malware analysis tools into aborting or refusing analysis. The malware establishes persistence via a LaunchAgent labeled 'com.apple.system.services.activity' and utilizes the Telegram Bot API for command-and-control communication. It collects sensitive data, including browser information, terminal histories, and the macOS Keychain database, exfiltrating this data through encrypted channels. ([infosecurity-magazine.com](https://www.infosecurity-magazine.com/news/macos-gaslight-rust-backdoor/?utm_source=openai)) This incident underscores the evolving tactics of threat actors who are now targeting AI-based security tools. The use of prompt injection to manipulate AI analysis represents a significant shift in cyberattack methodologies, highlighting the need for enhanced security measures to protect AI-driven systems from such adversarial inputs. ([infosecurity-magazine.com](https://www.infosecurity-magazine.com/news/macos-gaslight-rust-backdoor/?utm_source=openai))

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(low)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Unveiling the Cybersecurity Challenges of the 2026 FIFA World Cup
Sports4 months ago

Unveiling the Cybersecurity Challenges of the 2026 FIFA World Cup

The 2026 FIFA World Cup, spanning 16 cities across the United States, Canada, and Mexico, has become a prime target for cybercriminals exploiting its vast digital infrastructure. Since January 2026, approximately 19,000 domains containing 'fifa' have been registered, many of which are used for phishing campaigns aimed at stealing personal and financial information from fans seeking tickets and merchandise. Additionally, state-sponsored actors have been implicated in sophisticated cyberattacks, including claims by the Iran-linked group Handala of breaching FBI drone surveillance systems, potentially compromising security measures at the event. ([helpnetsecurity.com](https://www.helpnetsecurity.com/2026/06/08/fifa-world-cup-cyber-threats/?utm_source=openai)) The convergence of cyber and physical threats during the tournament underscores the need for comprehensive security strategies. The expansive attack surface, encompassing ticketing portals, transportation networks, and stadium IoT systems, requires proactive threat intelligence and real-time monitoring to mitigate risks. Organizations involved must ensure coordination across digital and physical domains to maintain operational stability throughout the event. ([intel471.com](https://www.intel471.com/resources/whitepapers/fifa-2026-world-cup-top-cyber-threats?utm_source=openai))

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Europe's Ransomware Epidemic: A 55% Surge in Early 2026

Europe's Ransomware Epidemic: A 55% Surge in Early 2026

In the first four months of 2026, Europe experienced a significant surge in ransomware attacks, with incidents rising by 55% compared to the same period in 2025. This increase is attributed to factors such as attackers shifting focus from oversaturated markets like the U.S. to European targets, and the utilization of AI-assisted target research identifying vulnerabilities within European organizations. Notably, major economies including Germany, the UK, France, Italy, and Spain accounted for nearly 70% of these attacks, highlighting a concentration of cyber risk in Europe's largest markets. ([prnewswire.com](https://www.prnewswire.com/news-releases/black-kites-first-report-dedicated-to-europe-ransomware-incidents-rose-55-year-over-year-in-early-2026-as-supply-chains-become-a-key-attack-path-302808057.html?utm_source=openai)) This trend underscores the evolving tactics of ransomware groups, who are increasingly targeting supply chains to maximize impact. The Miljödata incident in August 2025 exemplifies this approach, where a ransomware attack on a Swedish HR software provider led to data breaches affecting numerous municipalities and corporations, including Volvo Group North America. ([incibe.es](https://www.incibe.es/en/incibe-cert/publications/cybersecurity-highlights/ransomware-attack-leads-data-breach-affecting-volvo-north-america-employees?utm_source=openai))

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Cisco SD-WAN Vulnerability Exploited Two Months Before Disclosure
Telecommunications4 months ago

Cisco SD-WAN Vulnerability Exploited Two Months Before Disclosure

In March 2026, attackers began exploiting a critical vulnerability (CVE-2026-20245) in Cisco Catalyst SD-WAN, two months prior to its public disclosure. This flaw allows authenticated users with netadmin privileges to escalate to root-level access by uploading a crafted file, due to insufficient input validation in the command-line interface. Exploitation was observed in service provider environments, where attackers gained initial access via rogue peering connections, potentially by leveraging other vulnerabilities such as CVE-2026-20182 or CVE-2026-20127. The incident underscores the increasing targeting of network infrastructure by threat actors, highlighting the necessity for organizations to promptly apply security patches and monitor for unauthorized access. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) added CVE-2026-20245 to its catalog of known exploited vulnerabilities on June 4, 2026, emphasizing the urgency of remediation efforts.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(high)
Read report
Terrabot Botnet's 2026 Exploitation of IoT Vulnerabilities
Telecommunications4 months ago

Terrabot Botnet's 2026 Exploitation of IoT Vulnerabilities

In June 2026, the Terrabot botnet, an aggressive IoT malware variant derived from Mirai and Gafgyt frameworks, was observed scanning the internet for vulnerabilities to exploit and expand its network of compromised devices. The botnet targeted known vulnerabilities in legacy D-Link DSL routers (CVE-2016-20017) and Dasan GPON routers (CVE-2018-10561), attempting unauthenticated command injections. However, due to automation errors, such as empty POST request bodies and malformed payloads, many of these exploit attempts failed, highlighting the botnet's technical limitations. ([isc.sans.edu](https://isc.sans.edu/diary?utm_source=openai)) This incident underscores the persistent threat posed by IoT botnets, even those with flawed execution, as they continue to exploit unpatched vulnerabilities in widely used devices. The rapid proliferation of such botnets emphasizes the need for robust security measures, timely patching, and vigilant monitoring to protect against automated cyber threats.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(high)
Read report
Understanding 'Prompt Injection as Role Confusion' and Its Implications for AI Security
Financial Services4 months ago

Understanding 'Prompt Injection as Role Confusion' and Its Implications for AI Security

In February 2026, researchers Charles Ye, Jasmine Cui, and Dylan Hadfield-Menell published a study titled "Prompt Injection as Role Confusion," highlighting a critical vulnerability in large language models (LLMs). The study reveals that LLMs often misinterpret the source of text based on its style rather than its origin, leading to 'role confusion.' This flaw allows malicious actors to craft inputs that mimic authoritative roles, effectively bypassing safety protocols and manipulating the model's behavior. The researchers demonstrated that by injecting deceptive reasoning into user prompts and tool outputs, they achieved success rates of 60% on StrongREJECT and 61% on agent exfiltration tasks across various LLMs. This indicates a significant security gap where models assign authority in latent space, making them susceptible to prompt injection attacks. ([arxiv.org](https://arxiv.org/abs/2603.12277?utm_source=openai)) The study underscores the urgent need for enhanced security measures in AI systems, as prompt injection attacks exploit fundamental weaknesses in LLMs' role recognition. As AI integration expands across industries, understanding and mitigating such vulnerabilities is crucial to prevent unauthorized data access and manipulation. ([arxiv.org](https://arxiv.org/abs/2603.12277?utm_source=openai))

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
DraftKings 2022 Credential Stuffing Attack: A Case Study
Gambling/Casinos4 months ago

DraftKings 2022 Credential Stuffing Attack: A Case Study

In November 2022, DraftKings, a prominent fantasy sports and betting platform, experienced a credential stuffing attack that compromised approximately 60,000 user accounts. The attackers, led by Nathan Austad, known online as "Snoopy," exploited reused login credentials to gain unauthorized access. In about 1,600 cases, they added new payment methods to the compromised accounts and withdrew funds, resulting in approximately $600,000 in losses. The remaining compromised accounts were sold on cybercriminal marketplaces. Austad was sentenced to 18 months in federal prison, ordered to serve three years of supervised release, pay over $1.3 million in restitution, and forfeit an additional $463,000. This incident underscores the persistent threat of credential stuffing attacks, particularly in the online betting industry, where user accounts often contain sensitive financial information. It highlights the critical need for robust password policies, multi-factor authentication, and user education to prevent unauthorized access and financial losses.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Cisco SD-WAN Zero-Day Exploited in Communications Provider Breach
Telecommunications4 months ago

Cisco SD-WAN Zero-Day Exploited in Communications Provider Breach

In early 2026, a sophisticated threat actor exploited a zero-day vulnerability (CVE-2026-20245) in Cisco Catalyst SD-WAN Manager to infiltrate a communications service provider's network. The attacker gained root-level access by uploading a malicious CSV file, creating a rogue user account named 'troot,' and potentially achieving undetected visibility into the provider's internal traffic. Cisco has since patched the flaw, but the full extent of the compromise remains unclear due to the attacker's anti-forensic measures. This incident underscores the increasing targeting of edge devices by cyber adversaries, highlighting the need for enhanced security measures in network management platforms. Organizations are urged to prioritize patching, implement robust monitoring, and adopt zero-trust architectures to mitigate similar threats.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(high)
Read report
Critical Check Point VPN Vulnerability Exploited by Ransomware

Critical Check Point VPN Vulnerability Exploited by Ransomware

In May 2026, a critical authentication bypass vulnerability (CVE-2026-50751) was discovered in Check Point's Remote Access VPN and Mobile Access products, specifically affecting configurations using the deprecated IKEv1 protocol. This flaw allowed unauthenticated attackers to establish VPN sessions without valid credentials, granting them unauthorized access to internal networks. Exploitation of this vulnerability began on May 7, 2026, with at least one incident linked to a Qilin ransomware affiliate. The vulnerability was publicly disclosed on June 8, 2026, and patches were subsequently released. ([mishcon.com](https://www.mishcon.com/news/active-exploitation-of-check-point-vpn-authentication-bypass-vulnerability-cve202650751?utm_source=openai)) The incident underscores the risks associated with relying on outdated protocols and the importance of timely patching. It also highlights the evolving tactics of ransomware groups, who are increasingly exploiting vulnerabilities in widely used security products to gain initial access. Organizations must reassess their security architectures to ensure they are not solely dependent on perimeter defenses, which can be compromised through such vulnerabilities.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
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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