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Information Technology/IT

Breach intelligence, attack campaigns, and threat reports targeting the Information Technology/IT sector.

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Information Technology/IT Threat Reports

Showing 2773–2784 / 3797 reports
How an Azure Private Endpoint DNS Misconfiguration Triggered Massive DoS Risks in 2026
Financial Services9 months ago

How an Azure Private Endpoint DNS Misconfiguration Triggered Massive DoS Risks in 2026

In January 2026, security researchers highlighted a critical cloud misconfiguration affecting Microsoft Azure’s Private Endpoint architecture that could trigger denial-of-service (DoS) conditions. Specifically, Azure Private Link’s DNS resolution behavior was shown to inadvertently block access to resources—including Azure Storage, Key Vault, CosmosDB, and others—when Private DNS zones were misconfigured. The risks arise in accidental and malicious deployment scenarios, where incomplete or improper DNS records prevent workloads from connecting, despite the underlying resource being online. This exposure reportedly affects over 5% of Azure storage accounts, posing operational disruption risks through simple configuration errors or targeted attacker activity. This incident underscores the increasing complexity and fragility of cloud-native networking, as organizations accelerate the adoption of zero trust and segmentation patterns. With threat actors and insider mistakes both leveraging subtle service settings, this serves as an urgent reminder that cloud misconfiguration remains a leading cause of outages and breaches.

High impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
Google Gemini AI Breach: Prompt Injection Attack Exposes Enterprise Calendar Data
Computer Software/Engineering9 months ago

Google Gemini AI Breach: Prompt Injection Attack Exposes Enterprise Calendar Data

In January 2026, researchers at Miggo Security demonstrated a semantic prompt injection attack against Google Gemini, the company’s flagship AI assistant integrated across Google Workspace. By sending a maliciously crafted Calendar invitation containing natural-language instructions in the event’s description, attackers could leverage Gemini’s automated parsing and task execution to exfiltrate sensitive calendar data. When a victim queried Gemini about their schedule, the model would follow the embedded instructions, summarize all meetings—including private ones—and leak the information by generating a new event visible to the attacker. This bypassed existing filtering mechanisms and exposed data without explicit user approval. The incident underscores the rising concern over generative AI systems’ susceptibility to context-driven prompt injection and logic abuse. It highlights an urgent need for context-aware and semantic-level defenses in AI-integrated business applications, as AI assistants become deeply embedded in productivity suites throughout the enterprise sector.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
Read report
VoidLink Malware: How AI Accelerated a New Breed of Cloud Attacks
Information Technology/IT9 months ago

VoidLink Malware: How AI Accelerated a New Breed of Cloud Attacks

In late November 2025, researchers identified the VoidLink malware framework targeting Linux-based cloud servers. Distinct for its use of AI-driven development, VoidLink was built by a single operator primarily using the TRAE SOLO AI assistant, leading to an advanced, feature-rich malware toolkit in under a week. The incident became public after the attacker inadvertently exposed critical code, documentation, and sprint plans via an unsecured open directory, allowing security analysts to trace the rapid, AI-assisted development timeline and examine the malware’s architecture, which included custom loaders, implants, and rootkit modules for stealth and evasive operations. VoidLink represents the first extensively documented case of a sophisticated threat being produced predominately through AI modeling and automation. Its rapid development cycle and advanced modularity demonstrate the growing capability for individuals or small groups to deploy complex attacks once reserved for well-resourced threat actors—an evolution that underscores urgent challenges for enterprise security teams and the mitigation of future AI-driven threats.

Low impact

Kill Chain

ICInitial Compromise(medium)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(low)
Read report
Evelyn Stealer Exposes Developer Credential Risks in VS Code Supply Chain
Computer Software/Engineering9 months ago

Evelyn Stealer Exposes Developer Credential Risks in VS Code Supply Chain

In January 2026, researchers uncovered a malware campaign exploiting the Microsoft VS Code extension ecosystem to deliver Evelyn Stealer, an infostealer targeting software developers. Threat actors distributed malicious extensions which downloaded and executed a secondary payload, ultimately injecting the stealer into a legitimate process. Once executed, the malware harvested sensitive information—including developer credentials, stored cookies, crypto wallets, and system data—then exfiltrated these assets via FTP to a remote server. Attackers also deployed anti-analysis and evasion techniques, enabling seamless and covert data theft that potentially compromised broader organizational systems by abusing developer environments as entry points. This attack underscores the growing risks to the software supply chain, as developer tools become lucrative vectors for credential and asset theft. The Evelyn Stealer incident reflects an expanding trend where infostealers leverage trusted development ecosystems, highlighting the urgent need for stronger security controls and supply chain hygiene in rapidly evolving threat landscapes.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
Read report
2026 JavaScript Secrets Leak: Tens of Thousands of API Tokens Exposed in Production Web App Bundles
Computer Software/Engineering9 months ago

2026 JavaScript Secrets Leak: Tens of Thousands of API Tokens Exposed in Production Web App Bundles

In January 2026, a sweeping automated analysis uncovered the exposure of over 42,000 sensitive API tokens—including GitHub, GitLab, Slack, Linear, and other SaaS access keys—in JavaScript bundles of live, internet-facing web applications. The research, conducted at massive scale across 5 million applications, revealed that traditional infrastructure and application security scanners consistently missed these secrets, leaving organizations exposed to repository breaches, data leaks, and system compromise. Critical tokens found enabled attackers to access private code, internal projects, downstream services, and business-critical data, demonstrating broad gaps in application supply chain controls. This incident highlights persistent shortcomings in secrets detection across the application lifecycle. As businesses accelerate cloud adoption, CI/CD automation, and shift-left security, the failure of both automated scanners and static analysis to catch secrets in deployed JavaScript highlights urgent challenges. The trend will likely intensify with rising use of contemporary development pipelines and AI-generated code.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(medium)
Read report
LinkedIn Phishing Campaign Delivers RAT via DLL Sideloading—2026 Incident Analysis
Financial Services9 months ago

LinkedIn Phishing Campaign Delivers RAT via DLL Sideloading—2026 Incident Analysis

In January 2026, security researchers identified a sophisticated phishing campaign exploiting LinkedIn direct messages to deliver weaponized WinRAR self-extracting archives targeting high-value individuals. Attackers used social engineering to establish trust, convincing victims to download an archive containing a legitimate open-source PDF reader, a malicious DLL, the Python interpreter, and a decoy file. Upon execution, the PDF reader sideloaded the malicious DLL, which deployed the Python interpreter, created persistence via a Registry Run key, and executed Base64-encoded shellcode in memory. This led to covert remote access, data exfiltration, and enabled attackers to move laterally across networks. The incident underscores a broader trend of attackers abusing social media platforms for initial access, bypassing traditional email-centric defenses, and leveraging open-source tools with advanced evasion techniques like DLL sideloading. As social engineering campaigns diversify across communication channels, all business sectors face amplified risks of stealthy malware delivery and long-term compromise.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(low)
Read report
Anthropic MCP Git Server Vulnerability: AI Supply Chain at Risk (2026)
Computer Software/Engineering9 months ago

Anthropic MCP Git Server Vulnerability: AI Supply Chain at Risk (2026)

In January 2026, three critical vulnerabilities were disclosed in Anthropic's official Model Context Protocol (MCP) Git server, a tool widely used for managing Git repositories programmatically via large language models (LLMs). The flaws—identified as CVE-2025-68143, CVE-2025-68144, and CVE-2025-68145—included two path traversal and one argument injection vulnerabilities. Attackers could exploit these bugs through prompt injection via malicious content (e.g., README files, poisoned issue descriptions) to access or overwrite arbitrary files and achieve remote code execution, without needing direct access to victim systems. Chained exploitation with Filesystem MCP enabled full system compromise until patched in late 2025. This incident highlights growing risks at the intersection of AI-driven development, supply chain dependencies, and insufficient input validation within reference implementations. As organizations increasingly rely on open-source AI tooling, securing both the application layer and its automation becomes vital in defending against evolving prompt-based and supply chain exploitation.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(high)
Read report
North Korea Supply Chain Attack Exploits VS Code Projects – 2026 Analysis
Computer Software/Engineering9 months ago

North Korea Supply Chain Attack Exploits VS Code Projects – 2026 Analysis

In January 2026, cybersecurity researchers uncovered a sophisticated supply chain attack targeting software developers via malicious Visual Studio Code (VS Code) projects. Threat actors linked to North Korea's Contagious Interview campaign distributed weaponized VS Code samples to compromise developer endpoints and install covert backdoors. Once inside victims' systems, the attackers could move laterally, exfiltrate sensitive source code, and access development infrastructure, risking intellectual property, customer data, and supply chain integrity. The campaign represents an evolution of social engineering tactics and demonstrates the attackers’ focus on high-leverage targets within the tech sector. This incident is highly relevant as it underscores the growing trend of software supply chain attacks leveraging development environments and trusted open-source platforms. Organizations must now reassess third-party code risks and developer security, as attackers increasingly exploit toolchains and social-engineering techniques instead of perimeter defenses.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(medium)
IImpact(low)
Read report
Chainlit AI Framework Under Fire: 2024 Vulnerabilities Expose Multicloud Risk
Computer Software/Engineering9 months ago

Chainlit AI Framework Under Fire: 2024 Vulnerabilities Expose Multicloud Risk

In 2024, critical vulnerabilities were uncovered in the Chainlit open-source AI chatbot framework, enabling attackers to exploit flaws in authentication and traffic encryption protections. Malicious actors could intercept unencrypted traffic, manipulate east-west communications, and abuse privileged access across multicloud deployments, potentially leading to data exfiltration or advanced lateral movement within enterprise environments. The incident highlighted how insecure defaults and lack of robust segmentation in AI frameworks expose companies to elevated risk, demanding urgent attention from organizations relying on these technologies for customer-facing or sensitive operations. This breach underscores a broader trend of threat actors targeting open-source AI platforms, taking advantage of immature security practices inherent to many machine learning deployments. As regulatory scrutiny and supply chain attacks surge, securing AI development and deployment pipelines is increasingly essential to prevent business disruption or compliance violations.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(low)
Read report
Critical RCE Flaws in Microsoft & Anthropic MCP Servers Expose AI Workloads to Cloud Takeover
Computer Software/Engineering9 months ago

Critical RCE Flaws in Microsoft & Anthropic MCP Servers Expose AI Workloads to Cloud Takeover

In early June 2024, researchers disclosed critical remote code execution (RCE) vulnerabilities in the Model Context Protocol (MCP) servers operated by Microsoft and Anthropic, exposing integral AI infrastructure to severe cloud takeover risks. Threat actors could leverage these flaws to execute arbitrary code and potentially gain privileged access to sensitive data or underlying cloud platforms, risking widespread lateral movement and data exfiltration. The vulnerabilities arose from insufficient encryption and a lack of east-west segmentation controls, enabling potential attackers to compromise interconnected AI workloads and services. Both vendors moved quickly to deploy patches, but the initial exposure window highlighted deep-seated risks in shared AI service architectures. This incident highlights growing adversary focus on AI model supply chains and service interconnects, with attackers exploiting new protocol vulnerabilities. Rising adoption of AI-driven services across industries has amplified attack surfaces, urging enterprises to enhance zero trust segmentation, encrypted traffic controls, and multicloud observability to meet evolving compliance and operational challenges.

Low impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(low)
Read report
Google Gemini Exploited: Calendar Invites Become AI Attack Vector in 2024
Financial Services9 months ago

Google Gemini Exploited: Calendar Invites Become AI Attack Vector in 2024

In early 2024, researchers identified a critical indirect prompt injection vulnerability affecting Google Gemini, Google's flagship AI suite. Attackers exploited calendar invites as a covert vector to manipulate Gemini's AI context, successfully bypassing native privacy filters and accessing sensitive user data. The attack leveraged the insertion of malicious prompts within innocuous-looking calendar items, which Gemini processed automatically, leading to unauthorized access and data exposure. Google responded by issuing incremental updates, but the incident highlighted inherent risks in automated AI integrations with productivity platforms reliant on user-generated content. This incident underscores the growing prevalence of AI/ML abuse through indirect attack vectors such as prompt injection. With threat actors increasingly targeting large language models in enterprise environments, security programs must rapidly adapt to cover AI-specific exposures, ensure robust segmentation, and incorporate real-time anomaly detection to defend against evolving risks.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(low)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(medium)
Read report
Ingram Micro 2025 Ransomware Breach: Over 42,000 Impacted in Supply Chain Attack
Information Technology/IT9 months ago

Ingram Micro 2025 Ransomware Breach: Over 42,000 Impacted in Supply Chain Attack

In July 2025, information technology distributor Ingram Micro experienced a significant ransomware attack that compromised its internal systems and resulted in the unauthorized access and potential theft of sensitive personal information for over 42,000 individuals. Attackers infiltrated the company’s network, deployed ransomware, and encrypted critical data, causing temporary disruption to business operations. Ingram Micro responded by shutting down affected systems, launching an investigation, and notifying impacted individuals, highlighting gaps in east-west traffic security and incident detection. This breach underscores the ongoing resurgence of ransomware attacks targeting supply chain companies and IT providers. With attackers refining lateral movement techniques, organizations face mounting pressure to adopt robust segmentation, real-time anomaly detection, and comprehensive data protection strategies in compliance with evolving regulatory expectations.

High impact

Kill Chain

ICInitial Compromise(low)
PEPrivilege Escalation(low)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(high)
Read report
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