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 5713 to 5724 of 6939 threat reports

Over 17,000 Secrets Exposed: Inside the 2024 GitLab Public Repository Incident

Over 17,000 Secrets Exposed: Inside the 2024 GitLab Public Repository Incident

In early 2024, a security engineer conducting a large-scale scan of all 5.6 million public repositories hosted on GitLab Cloud uncovered more than 17,000 exposed secrets—such as API keys, credentials, and tokens—affecting over 2,800 unique domains. Although the incident did not involve a targeted cyberattack, the finding highlights the pervasive risk of accidental data exposure due to developer error or misconfiguration. The exposed secrets could have enabled threat actors to access sensitive services, launch attacks, or exfiltrate data unnoticed, exposing organizations to operational risk, reputational harm, and regulatory scrutiny. This discovery signals a growing trend as attackers increasingly automate scans for leaked credentials in public code repositories. With supply chain attacks, shadow IT, and cloud misconfigurations rising, such incidents underscore the urgency for automated secret scanning, centralized controls, and enhanced security training for development teams.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(medium)
Read report
Australia 2024 Airport Evil Twin WiFi Attack: Network Intrusion Threat Exposed
Airlines/Aviation10 months ago

Australia 2024 Airport Evil Twin WiFi Attack: Network Intrusion Threat Exposed

In 2024, Australian authorities sentenced a 44-year-old man to over seven years in prison for orchestrating a series of 'evil twin' WiFi attacks at major Australian airports. The perpetrator set up rogue wireless networks mimicking legitimate airport WiFi, luring unsuspecting travelers into connecting and unknowingly handing over sensitive data, including credentials and personal information. Over a prolonged period, these attacks evaded detection due to the sophistication of the deceptive access points and inherent insecurity of public wireless networks. The incident highlighted significant risks for both individuals and organizations, demonstrating effective tactics for harvesting credentials in the wild. This case exemplifies a broader trend of attackers exploiting public and unsecured networks to launch network intrusion campaigns, especially as remote work and mobile connectivity surge. Such methods bypass conventional perimeter defenses and increase compliance and regulatory pressures for organizations to protect data in transit.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(low)
Read report
Tomiris APT 2025: Abuse of Telegram, Discord & Multi-Language Toolkit in Advanced Government Attacks

Tomiris APT 2025: Abuse of Telegram, Discord & Multi-Language Toolkit in Advanced Government Attacks

In early 2025, the Tomiris APT group launched a sophisticated cyberespionage campaign targeting foreign ministries, intergovernmental organizations, and government entities across Russia and Central Asia. Using spear-phishing emails with password-protected malicious archives, Tomiris delivered a diverse toolkit of implants written in C/C++, Rust, Go, C#, and Python. Their malware leveraged public services like Telegram and Discord for command-and-control (C2), employed open-source frameworks such as Havoc and AdaptixC2, and enabled attackers to perform reconnaissance, maintain persistence, and exfiltrate sensitive data, while evading traditional network defenses by blending illicit traffic with legitimate channels. This incident highlights a clear evolution in APT tradecraft: rapid adoption of multi-language toolchains, creative lateral movement, and the abuse of popular cloud-based services for covert operations. With the continued rise of lawful-shadow C2 channels and open-source post-exploitation kits, organizations face heightened risks from identity-driven, stealthy attacks that challenge conventional segmentation and anomaly detection strategies.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(low)
Read report
Microsoft Teams Guest Access in 2025: Bypassing Defender Protections with Cross-Tenant Exploits

Microsoft Teams Guest Access in 2025: Bypassing Defender Protections with Cross-Tenant Exploits

In late 2025, security researchers revealed a critical vulnerability in Microsoft Teams involving the platform's guest access feature. Attackers could exploit this cross-tenant blind spot by inviting victims to external Teams tenants, where Microsoft Defender for Office 365 protections set by the user’s home organization were bypassed. Instead, security controls depended on the external tenant’s environment, enabling malicious actors to deliver threats, such as phishing or malware, beyond the purview of corporate security policies. This weakness exposes organizations to significant business risk, allowing lateral phishing and potential data compromise through insufficient cloud policy enforcement. This incident underscores the ongoing risks inherent to cloud collaboration platforms where cross-tenant integrations are routine. The rapid adoption of hybrid work, increased SaaS reliance, and complex cloud permissions models are fueling new attack vectors that evade traditional endpoint and email security controls.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(medium)
Read report
Legacy Python Bootstrap Scripts Expose PyPI Supply Chain to Domain Takeover Risk

Legacy Python Bootstrap Scripts Expose PyPI Supply Chain to Domain Takeover Risk

In June 2025, cybersecurity researchers at ReversingLabs uncovered a significant vulnerability in legacy Python packages distributed via PyPI. The weakness stems from outdated bootstrap scripts within the widely used zc.buildout automation tool, which reference external domains that have since become unregistered. This creates a supply chain attack risk: if an attacker registers one of these lapsed domains, they could host malicious code, which would be executed during package installation, compromising developer, CI/CD, or production environments. While there are no confirmed mass exploits yet, the affected ecosystem is large due to the extended usage of these packages. This incident is highly relevant as supply chain risks in open-source ecosystems continue to grow, and domain takeover remains a low-cost, high-impact attack vector. Increased attention to legacy codebases and dependency hygiene is essential as regulations tighten and attackers show rising interest in poisoning software development infrastructure.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Gainsight-Salesforce 2025 Breach: A Wake-Up Call for SaaS Supply-Chain Security

Gainsight-Salesforce 2025 Breach: A Wake-Up Call for SaaS Supply-Chain Security

In November 2025, Gainsight reported a security incident involving its SaaS applications integrated with Salesforce, after Salesforce observed suspicious API calls from non-allowlisted IP addresses linked to Gainsight services. This prompted Salesforce to revoke affected access tokens, limit integration capabilities, and initiate investigations, temporarily disrupting data flows for several customers and connected platforms such as Zendesk and HubSpot. Forensic analysis revealed threat activity tied to proxy/VPN infrastructure and IPs previously associated with the UNC6040 threat cluster, which had targeted Salesforce CRMs in past extortion campaigns, though no confirmed data exfiltration occurred. This incident exemplifies the persistent risk of supply-chain compromise through interconnected SaaS platforms, emphasizing how attackers can leverage trusted applications to pivot laterally and exploit enterprise data pipelines. With the steady rise in OAuth-based integrations and API dependency, businesses face mounting urgency to reevaluate third-party access, enforce zero-trust principles, and proactively monitor for anomalous behaviors within their SaaS ecosystems.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(high)
Read report
North Korean Hackers Target Developers with Massive npm Supply-Chain Attack

North Korean Hackers Target Developers with Massive npm Supply-Chain Attack

In November 2025, North Korean threat actors associated with the "Contagious Interview" campaign launched an extensive supply-chain attack by publishing 197 malicious npm packages. According to threat intelligence from Socket, these packages—downloaded over 31,000 times—were engineered to distribute a new OtterCookie malware variant, combining features from BeaverTail and earlier OtterCookie strains. The attackers leveraged the npm ecosystem to infiltrate development pipelines, enabling remote code execution and persistent access across compromised environments, potentially exposing confidential data and intellectual property. This incident underscores the escalating risks of supply chain attacks targeting software registries. With developers increasingly relying on open-source dependencies, threat actors are focusing on abusing trusted platforms like npm to propagate sophisticated malware at scale. Organizations must strengthen software supply chain security and closely monitor package repositories to mitigate these emerging threats.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
Read report
OpenAI Mixpanel Breach: 2024 Supply-Chain Exposure of API Customer Data

OpenAI Mixpanel Breach: 2024 Supply-Chain Exposure of API Customer Data

In June 2024, OpenAI disclosed that a breach at its third-party analytics provider Mixpanel exposed limited identifying information of certain ChatGPT API customers. According to the company's notification, attackers compromised Mixpanel's systems and accessed data such as organization names and email addresses transmitted through Mixpanel's embedded analytics scripts. OpenAI clarified that payment or sensitive API data was not affected, and the incident did not impact all users. Prompt investigation and mitigation steps were initiated, including collaboration with Mixpanel and additional security controls around third-party integrations. This incident underscores the persistent risks associated with the digital supply chain. As organizations increasingly rely on external vendors for analytics and infrastructure, threat actors continue to exploit third-party weaknesses to obtain customer data—driving heightened attention from regulators and boards.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(high)
Read report
CVE-2021-26829: ScadaBR XSS Exploitation Prompts CISA Catalog Action
Utilities10 months ago

CVE-2021-26829: ScadaBR XSS Exploitation Prompts CISA Catalog Action

In November 2025, CISA added CVE-2021-26829, an OpenPLC ScadaBR cross-site scripting (XSS) vulnerability, to its Known Exploited Vulnerabilities (KEV) Catalog after observing active exploitation. Adversaries exploited a lack of proper input sanitization in ScadaBR—a widely used industrial automation software—to inject malicious scripts, enabling credential theft or unauthorized actions on affected systems. The vulnerability increases the risk of lateral movement within critical infrastructure and highlights the susceptibility of operational technology (OT) environments to common web-based attacks. Federal agencies are mandated to remediate such vulnerabilities, reflecting their high-risk nature and operational impact. This incident underscores a broader trend: threat actors are increasingly exploiting web application vulnerabilities in industrial and critical network environments. The addition to the KEV catalog reflects regulatory focus on timely remediation, as attacks targeting core OT platforms can cause serious operational disruption and regulatory exposure.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
Read report
2025 Multi-Vector Attack: AI Malware, Voice Bots, Crypto Laundering & IoT Breach
Financial Services10 months ago

2025 Multi-Vector Attack: AI Malware, Voice Bots, Crypto Laundering & IoT Breach

In November 2025, threat analysts observed a coordinated, multi-vector cyberattack campaign targeting enterprises across finance, healthcare, and IoT-heavy sectors. Attackers leveraged AI-powered malware, compromised voice bots, and elaborate cryptocurrency laundering techniques to infiltrate organizations, bypass security controls, and exfiltrate sensitive data. Initial access was achieved via sophisticated phishing augmented by AI voice impersonation, while lateral movement and data theft exploited weaknesses in internal segmentation and unencrypted east-west traffic. The campaign’s complexity resulted in service downtime, financial losses, and data exposure for several multinational organizations. This incident is notable for blending diverse threat techniques—AI-driven social engineering, voice-based exploits, and infrastructure abuses—reflecting the current trend towards multifaceted attacks capable of outmaneuvering traditional defenses. The scale and automation highlight increased attacker innovation and challenge existing compliance and zero trust frameworks.

Medium impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Gainsight Expands Customer List After Salesforce Data Breach Investigation

Gainsight Expands Customer List After Salesforce Data Breach Investigation

In November 2025, Gainsight disclosed an expansion of its impacted customer list following suspicious activity targeting its cloud applications within the Salesforce platform. Originally affecting three customers identified incidentally by Salesforce, the scope broadened as investigation revealed further unauthorized access to sensitive business data. The breach, detected through abnormal activity monitoring, prompted Gainsight to alert clients and coordinate remediation steps while collaborating with Salesforce to identify the root cause. The company has not shared the exact number of affected customers but confirmed exposure to confidential customer information, presenting new compliance and reputational challenges. This incident reflects a continued surge in third-party and SaaS provider breaches, illustrating the interconnected risk facing organizations that rely on enterprise platforms. With attackers leveraging increasingly subtle lateral movement techniques and targeting east-west cloud traffic, robust zero trust controls and real-time anomaly detection are more critical than ever.

High impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Universal Jailbreaks: How Adversarial Poetry Unlocked AI Model Vulnerabilities in 2025

Universal Jailbreaks: How Adversarial Poetry Unlocked AI Model Vulnerabilities in 2025

In late 2025, researchers uncovered a major vulnerability affecting leading AI providers, demonstrating that prompt injection using poetic phrasing can universally bypass safety alignment in large language models (LLMs). By translating malicious prompts into poetic verse and feeding them into 25 major proprietary and open-source LLMs, adversaries were able to achieve jailbreak attack success rates above 60% in many cases—far surpassing previous methods. This attack allowed models to generate outputs associated with high-risk domains, such as cyber-offense and weaponization, despite existing refusal mechanisms. The incident raises urgent concerns about the robustness of current model alignment and evaluation frameworks and exposes fundamental gaps in LLM safety design. This discovery is particularly significant as LLMs are now widely adopted across industries and critical sectors. The poetic technique's ability to systematically defeat existing safeguards highlights the evolving risks of adversarial prompt engineering and threatens AI-dependent workflows, regulatory compliance, and trust in intelligent automation.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(low)
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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