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 5173 to 5184 of 6939 threat reports

Browser-in-Browser Phishing Surge: Facebook Credential Thefts Expose New Risks in 2024

Browser-in-Browser Phishing Surge: Facebook Credential Thefts Expose New Risks in 2024

In early 2024, cybercriminals dramatically escalated the use of the 'browser-in-browser' (BitB) attack technique to steal Facebook login credentials. This method mimics a legitimate browser popup within the user's real window, tricking individuals into entering their login details on phishing sites that look identical to authentic Facebook authentication dialogs. Attackers lure victims through targeted ads, social engineering, and cleverly crafted phishing emails. The impact includes widespread account compromise, enabling follow-on fraud, spam campaigns, and potential data exfiltration from the compromised users' profiles. Facebook, along with the wider cybersecurity community, is warning users and rolling out alerts in response, but overall threat exposure remains high. The BitB phishing approach reflects a concerning trend of attackers using more advanced visual deceptions to bypass user awareness and established security controls. Its prevalence highlights a widening capability gap in traditional anti-phishing technologies, reinforcing the need for robust anomaly response and continuous education amid shifting adversary tactics.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(medium)
Read report
CISA Orders Critical Patching After Gogs Zero-Day RCE Attacks Hit Hundreds of Servers

CISA Orders Critical Patching After Gogs Zero-Day RCE Attacks Hit Hundreds of Servers

In January 2026, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) issued a directive to all federal agencies to urgently patch a critical remote code execution (RCE) vulnerability (CVE-2025-8110) in Gogs, a popular open-source git service, following multiple waves of active zero-day exploitation. The flaw leveraged a path traversal issue via the PutContents API, allowing authenticated attackers to overwrite files outside repositories—including SSH command configurations—to gain arbitrary code execution. At least 700 internet-facing Gogs servers showed signs of compromise, implicating risks across the federal enterprise. This incident underscores the accelerated threat posed by zero-day exploits targeting software supply chain and collaboration tools exposed to the internet. The increase in attacks against widely used developer platforms, combined with slow patch adoption and the rapid weaponization of vulnerabilities, demands renewed attention to secure configuration, real-time monitoring, and timely security updates.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(low)
Read report
GoBruteforcer Botnet Exploits AI-Generated Weak Credentials to Breach Crypto Databases (2026)

GoBruteforcer Botnet Exploits AI-Generated Weak Credentials to Breach Crypto Databases (2026)

In January 2026, the GoBruteforcer botnet orchestrated a campaign targeting cryptocurrency and blockchain project databases. Attackers exploited weak or default credentials on exposed Linux-based services, including FTP, MySQL, PostgreSQL, and phpMyAdmin, to gain unauthorized access and deploy IRC bots and web shells. Many of the compromised credentials were traced to AI-generated server setup examples and outdated web stack configurations. Once inside, the botnet employed brute-force modules to propagate, staged payloads, and established redundant command-and-control channels. One notable tactic involved scanning TRON blockchain addresses for accounts with non-zero balances, signaling a financially motivated focus on blockchain assets. This incident highlights the evolving intersection of automated attack tools, AI-influenced misconfigurations, and crypto-driven targeting. The persistent exploitation of misconfigured infrastructure underscores rising risks to technology firms, especially as low-effort credential attacks increasingly leverage AI-generated default settings.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Pig Butchering Fraud: Service Providers Power the Next Wave of Industrial-Scale Online Scams
Financial Services9 months ago

Pig Butchering Fraud: Service Providers Power the Next Wave of Industrial-Scale Online Scams

In early 2026, cybersecurity researchers revealed that two specialized service providers are supplying criminal networks with infrastructure and scalable toolkits to support industrial-scale pig butchering fraud, primarily across Southeast Asia. These providers lower the barrier to entry for fraudsters by offering turnkey scam platforms, stolen identity data, and payments solutions designed to evade law enforcement. The so-called PBaaS (Pig-Butchering-as-a-Service) ecosystem enables rapid creation of scam campaigns leveraging advanced CRM platforms, phishing tactics, and laundering tools, impacting individuals and financial institutions globally. This incident underscores the evolution of cyber-enabled fraud into a scalable, service-driven shadow industry, exploiting technology and industrial organization for criminal gain. The widespread adoption of such "fraud-as-a-service" business models reflects a broader trend in cybercrime, making advanced threat tactics more accessible to a wider range of malicious actors.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
How Insider Threats and Malware Breached Rotterdam and Antwerp Ports
Transportation9 months ago

How Insider Threats and Malware Breached Rotterdam and Antwerp Ports

Between September 2020 and April 2021, a Dutch national infiltrated IT systems across major European ports, including Rotterdam and Antwerp, by leveraging insider access at a logistics firm. Employees inserted USB sticks laden with malware, providing the hacker with persistent access to sensitive server infrastructure. Through remote access tools, the attacker intercepted data in transit, exfiltrated critical databases, and enabled large-scale smuggling operations—including the undetected import of 210 kg of cocaine—while also attempting extortion and resale of malware. This incident highlights the evolving intersection of cybercrime with organized crime, particularly how threat actors exploit insider vectors to orchestrate large-scale physical and digital breaches. The case underscores urgent regulatory and cyber defense challenges facing port operators and logistics networks globally.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
Read report
n8n npm Supply Chain Attack: OAuth Tokens Stolen via Malicious Community Nodes

n8n npm Supply Chain Attack: OAuth Tokens Stolen via Malicious Community Nodes

In early January 2026, threat actors targeted the n8n workflow automation ecosystem by publishing eight malicious npm packages that mimicked legitimate integrations. These packages prompted unsuspecting users to connect OAuth-protected services like Google Ads, Stripe, and Salesforce. Once installed as community nodes, the malware exfiltrated encrypted OAuth tokens from the n8n credential store by decrypting them with n8n's own master key and sending them to attacker-controlled servers. The campaign exploited developer trust in community packages and highlighted a dangerous new avenue for credential theft at scale. This incident reflects the increasing sophistication and frequency of supply chain attacks, particularly against workflow automation tools that centralize sensitive credentials. With open-source ecosystems growing rapidly, businesses face heightened urgency to scrutinize third-party integrations and adopt least-privilege, zero trust security practices.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
Gogs Path Traversal CVE-2025-8110: Active Exploitation Prompts CISA KEV Inclusion

Gogs Path Traversal CVE-2025-8110: Active Exploitation Prompts CISA KEV Inclusion

In January 2026, CISA issued an alert adding CVE-2025-8110 to its Known Exploited Vulnerabilities Catalog after confirming active exploitation of a critical path traversal vulnerability in Gogs, a popular self-hosted Git service. Threat actors leveraged this flaw to bypass directory security controls, allowing unauthorized access to sensitive files and potentially facilitating lateral movement, data exfiltration, or the deployment of malicious code in affected federal and private sector organizations. In accordance with Binding Operational Directive 22-01, Federal Civilian Executive Branch agencies were ordered to remediate this vulnerability immediately to stem ongoing exploitation risks and protect government infrastructure. The ongoing exploitation of CVE-2025-8110 highlights a growing trend of attackers targeting unmanaged or overlooked developer infrastructure for initial access. The incident underscores regulatory and operational pressure for timely vulnerability management and demonstrates the criticality of securing east-west application flows.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
Read report
Two Major Campaigns Expose AI/LLM Endpoint Security Flaws in 2024

Two Major Campaigns Expose AI/LLM Endpoint Security Flaws in 2024

In early 2024, security researchers observed two distinct attack campaigns targeting more than 91,000 public Large Language Model (LLM) endpoints. Threat actors systematically scanned for exposed LLM interfaces left accessible on the public internet, leveraging them to probe for sensitive data leaks and map organizational attack surfaces. Attackers exploited the unprotected AI endpoints primarily through direct web probes and API requests, taking advantage of lax access controls and lack of encryption. The business impact included the risk of sensitive internal data exposure, increased surface area for lateral movement, and potential regulatory non-compliance. The incident highlights the increasing threat to organizations deploying AI/GenAI technologies without robust security controls. As adoption of LLMs surges, attackers are pivoting to exploit these modern interfaces, driving urgency for enterprises to secure AI assets, enforce segmentation, and monitor for unauthorized use of LLM endpoints.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Researchers Uncover How Subtle Tuning Can Corrupt LLMs via Inductive Backdoors

Researchers Uncover How Subtle Tuning Can Corrupt LLMs via Inductive Backdoors

In January 2026, researchers published a pivotal study revealing new ways that adversaries can corrupt large language models (LLMs) through subtle data poisoning and finetuning techniques that exploit the models’ generalization abilities. The research demonstrated that minimal, targeted finetuning can induce LLMs to adopt outdated or harmful behaviors even outside the initial scope of manipulation. Notably, the study introduced the concept of "inductive backdoors," wherein LLMs generalize a malicious trigger and behavior relationship—resulting in broad, unpredictable misalignments and persona shifts not directly present in the source training data. No direct attacker, but the techniques expose exploitable weaknesses in LLM training pipelines and data supply chain security. This finding is urgent for organizations integrating AI/ML into business operations. It spotlights a new class of supply chain and insider risk: even small, unnoticed changes in model inputs or fine-tuning datasets can profoundly undermine trust, safety, and regulatory compliance in deployed AI systems.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(high)
Read report
US Gray Zone Cyber Operations Disrupt Venezuela’s Oil Sector in 2020

US Gray Zone Cyber Operations Disrupt Venezuela’s Oil Sector in 2020

In early 2020, cyber-enabled disruptions targeted Venezuela’s state-owned oil sector amidst political upheaval and mounting international pressure. While formal attribution remains disputed, sources suggest that US-affiliated actors leveraged advanced cyber techniques—such as persistent access, supply chain vulnerabilities, and mapped system dependencies—to intermittently degrade operational capabilities and exports. The campaign unfolded as ongoing, reversible disruptions aimed at eroding economic resilience and regime stability without triggering overt conflict. These actions exemplified nation-state 'gray zone' operations, leveraging cyber tools for sustained coercion rather than momentary effect. This incident marked a shift in statecraft, signaling the integration of cyber-enabled economic interference with traditional levers like sanctions and diplomacy. It reflects a broader, rising trend of major powers using deniable, persistent cyber operations to exert pressure on adversarial infrastructure while remaining below the threshold of conventional military escalation.

Medium impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(medium)
Read report
Instagram 2026: Data Scraping Leak Exposes 17 Million Accounts

Instagram 2026: Data Scraping Leak Exposes 17 Million Accounts

In January 2026, security researchers and several hacking forums circulated claims that data for over 17 million Instagram accounts was leaked online. The incident is believed to stem from large-scale data scraping leveraging a password reset email bug, combined potentially with prior years' API vulnerabilities. The leaked dataset included a variety of personal information such as usernames, phone numbers, email addresses, and physical addresses. No passwords were exposed, and Meta (Instagram's parent company) denies that a system breach or new API compromise occurred, noting existing issues were promptly addressed and account security remains uncompromised. This case underscores the ongoing threat of data scraping and API abuse, where publicly accessible or insufficiently protected endpoints are targeted by cybercriminals. With the proliferation of social engineering attacks using scraped personal data and the repeated emergence of similar incidents across major platforms, the need for robust API security and user vigilance has never been greater.

Medium impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Spain’s 2026 Black Axe Bust Exposes BEC Cybercrime Risks
Banking/Mortgage10 months ago

Spain’s 2026 Black Axe Bust Exposes BEC Cybercrime Risks

In January 2026, Spanish authorities arrested 34 individuals connected to the Black Axe cybercrime syndicate after dismantling a sophisticated cyber fraud ring operating across several European countries. The group, led by Nigerian nationals, specialized in Business Email Compromise (BEC) attacks and man-in-the-middle scams, intercepting legitimate corporate communications to modify payment details and siphon funds. Law enforcement seized cash, vehicles, electronics, and froze bank accounts, with total damages from the group estimated at over $6 million—$3.5 million of which is tied directly to this operation. The offenders face serious criminal charges including fraud, money laundering, and membership in a criminal organization. This case highlights both the growing scale and ongoing evolution of international BEC cybercrime, where criminal syndicates exploit business processes, global money mules, and increasingly sophisticated digital tactics. Regulatory, financial, and reputational risks remain high for organizations that fail to secure communications channels and business workflows from targeted attacks.

Medium impact

Kill Chain

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