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Information Technology/IT

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

3797 threat reports
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Information Technology/IT Threat Reports

Showing 2701–2712 / 3797 reports
Google Engineer Convicted of AI Trade Secrets Theft to China
Computer Software/Engineering9 months ago

Google Engineer Convicted of AI Trade Secrets Theft to China

In January 2026, former Google software engineer Linwei Ding was convicted on multiple counts of economic espionage and theft of trade secrets. Between May 2022 and April 2023, Ding illicitly transferred over 2,000 pages of confidential AI-related documents from Google's network to his personal cloud account. These documents detailed Google's proprietary AI supercomputing infrastructure, including custom Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) technologies, orchestration software for large-scale AI workloads, and SmartNIC networking technology. Concurrently, Ding secretly affiliated with two China-based technology companies, assuming roles such as Chief Technology Officer and CEO, and aimed to replicate Google's AI supercomputing capabilities in China. ([justice.gov](https://www.justice.gov/opa/pr/former-google-engineer-found-guilty-economic-espionage-and-theft-confidential-ai-technology?utm_source=openai)) This incident underscores the persistent threat of insider espionage within the tech industry, particularly concerning advanced AI technologies. It highlights the critical need for robust internal security measures and vigilant monitoring to protect intellectual property from unauthorized access and exfiltration.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
ShinyHunters 2026 Vishing Attacks Breach SaaS Platforms
Financial Services9 months ago

ShinyHunters 2026 Vishing Attacks Breach SaaS Platforms

In January 2026, the financially motivated hacking group ShinyHunters orchestrated a series of sophisticated voice phishing (vishing) attacks targeting employees of various organizations. By impersonating IT staff, they directed victims to fraudulent credential harvesting sites, capturing Single Sign-On (SSO) credentials and Multi-Factor Authentication (MFA) codes. This access enabled them to infiltrate cloud-based Software-as-a-Service (SaaS) platforms, exfiltrating sensitive data and internal communications, which were subsequently used for extortion purposes. The campaign notably affected platforms such as Okta, Microsoft 365, and Google Workspace, compromising numerous organizations across multiple sectors. This incident underscores the evolving tactics of cybercriminals, highlighting the increasing sophistication of social engineering methods to bypass traditional security measures. The reliance on vishing and real-time phishing kits to exploit identity providers and SaaS platforms emphasizes the urgent need for organizations to adopt phishing-resistant MFA solutions and enhance employee training to recognize and respond to such threats.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Moltbot AI Agent Security Breach: A Wake-Up Call for AI Security
Financial Services9 months ago

Moltbot AI Agent Security Breach: A Wake-Up Call for AI Security

In January 2026, the open-source AI assistant Moltbot, formerly known as Clawdbot, faced significant cybersecurity scrutiny due to its extensive access to user systems. Security researchers discovered hundreds of exposed or poorly secured Moltbot control panels accessible on the public internet, revealing private data such as API keys and allowing unauthorized command execution. Additionally, vulnerabilities like susceptibility to prompt injection attacks and AI hallucinations were identified, raising concerns about the potential for data breaches and system compromises. These findings underscore the critical need for robust security measures in the deployment of AI agents to prevent unauthorized access and data exposure. This incident highlights the growing risks associated with AI agents as they become more integrated into organizational processes. The ease of access and control they offer can inadvertently introduce significant security vulnerabilities if not properly managed. As AI technologies continue to evolve and see wider adoption, it is imperative for organizations to implement stringent security protocols and continuous monitoring to safeguard against emerging threats posed by AI agents.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Critical LLM Vulnerability: System Prompt Extraction via Form Fields
Financial Services9 months ago

Critical LLM Vulnerability: System Prompt Extraction via Form Fields

In January 2026, security researchers identified a critical vulnerability in Large Language Models (LLMs) integrated into AI assistants. Despite implementing architectural constraints to restrict chatbots to templated responses, attackers exploited the models' ability to populate form fields, enabling the extraction of system prompts. This method allowed unauthorized access to sensitive information, bypassing traditional output restrictions. The incident underscores the evolving nature of prompt injection attacks and the necessity for comprehensive security measures in AI deployments. As AI integration becomes more prevalent, understanding and mitigating such vulnerabilities is crucial to maintaining data integrity and user trust.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
Meta AI's 2024 Chatbot Vulnerability Exposes User Data
Financial Services9 months ago

Meta AI's 2024 Chatbot Vulnerability Exposes User Data

In December 2024, a critical vulnerability was discovered in Meta AI's chatbot platform, allowing unauthorized users to access private prompts and AI-generated responses of other users. The flaw involved manipulating unique identifiers in the browser's network traffic, enabling access to others' chatbot interactions without proper permission checks. Meta was notified on December 26, 2024, and patched the vulnerability by January 24, 2025. There was no evidence of the flaw being exploited in the wild. This incident underscores the importance of securing AI chatbot platforms against unauthorized access, especially as they handle sensitive user data. Organizations must implement robust authorization mechanisms and regularly audit their systems to prevent similar vulnerabilities.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Introducing Julius: Enhancing AI Security with LLM Service Fingerprinting
Computer Software/Engineering9 months ago

Introducing Julius: Enhancing AI Security with LLM Service Fingerprinting

In January 2026, Praetorian released Julius, an open-source tool designed to identify and fingerprint Large Language Model (LLM) services across corporate networks. Julius enables security teams to detect various LLM services, such as Ollama, LiteLLM, and Open WebUI, by analyzing endpoints and extracting information about the models in use. This tool addresses the growing challenge of unmanaged and potentially insecure LLM deployments within organizations, which can be exploited by attackers for unauthorized access, data exfiltration, or lateral movement within networks. The release of Julius is particularly timely given the increasing integration of LLMs into enterprise environments and the associated security risks. Recent incidents have highlighted vulnerabilities in LLM applications, including prompt injection attacks and data leakage, underscoring the need for robust detection and monitoring tools like Julius to enhance organizational security postures.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(low)
Read report
ServiceNow's 'BodySnatcher' Vulnerability: A Wake-Up Call for AI Security
Information Technology/IT9 months ago

ServiceNow's 'BodySnatcher' Vulnerability: A Wake-Up Call for AI Security

In October 2025, ServiceNow identified and patched a critical vulnerability, CVE-2025-12420, in its AI Platform. Dubbed 'BodySnatcher,' this flaw allowed unauthenticated attackers to impersonate legitimate users, potentially granting unauthorized access to sensitive enterprise data. The vulnerability affected components such as Now Assist AI Agents and the Virtual Agent API, with ServiceNow deploying security updates to hosted instances and providing patches for self-hosted customers. ([techradar.com](https://www.techradar.com/pro/security/servicenow-patches-critical-security-flaw-which-could-allow-user-impersonation?utm_source=openai)) This incident underscores the growing security challenges associated with AI-driven platforms. Organizations are urged to promptly apply security updates and review their AI system configurations to mitigate similar risks. ([techradar.com](https://www.techradar.com/pro/security/servicenow-patches-critical-security-flaw-which-could-allow-user-impersonation?utm_source=openai))

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(low)
EExfiltration(medium)
IImpact(medium)
Read report
Critical Zero-Day Vulnerabilities in Ivanti EPMM Exploited
Health Care / Life Sciences9 months ago

Critical Zero-Day Vulnerabilities in Ivanti EPMM Exploited

In January 2026, Ivanti disclosed two critical zero-day vulnerabilities in its Endpoint Manager Mobile (EPMM) software, identified as CVE-2026-1281 and CVE-2026-1340, each with a CVSS score of 9.8. These code injection flaws allow unauthenticated remote attackers to execute arbitrary code on affected systems, potentially leading to unauthorized access to sensitive data and system configurations. Ivanti confirmed active exploitation of these vulnerabilities in a limited number of customer environments at the time of disclosure. ([crn.com](https://www.crn.com/news/security/2026/ivanti-critical-mobile-management-vulnerabilities-seeing-exploitation?utm_source=openai)) The exploitation of these vulnerabilities underscores the persistent threat posed by zero-day attacks targeting enterprise management systems. Organizations are urged to apply the available patches promptly to mitigate the risk of unauthorized access and potential data breaches. ([bleepingcomputer.com](https://www.bleepingcomputer.com/news/security/ivanti-warns-of-two-epmm-flaws-exploited-in-zero-day-attacks/?utm_source=openai))

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Equifax 2017 Data Breach: Lessons in Cybersecurity
Financial Services9 months ago

Equifax 2017 Data Breach: Lessons in Cybersecurity

Between May and July 2017, Equifax, a major credit reporting agency, experienced a significant data breach due to unpatched vulnerabilities in their Apache Struts framework. Attackers exploited these weaknesses to access sensitive personal information, including names, Social Security numbers, birth dates, addresses, and, in some cases, driver's license numbers of approximately 147.9 million Americans. The breach also affected millions of individuals in the UK and Canada. Equifax discovered the intrusion on July 29, 2017, but did not publicly disclose it until September 7, 2017. The incident led to widespread criticism, legal actions, and regulatory scrutiny, culminating in a settlement of up to $700 million to address the fallout and implement corrective measures. ([en.wikipedia.org](https://en.wikipedia.org/wiki/2017_Equifax_data_breach?utm_source=openai)) This breach underscores the critical importance of timely software updates and robust cybersecurity practices. The exploitation of known vulnerabilities highlights the necessity for organizations to maintain vigilant patch management and comprehensive security protocols to protect sensitive consumer data.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
Critical Unauthenticated RCE Vulnerability in SmarterMail (CVE-2026-24423) Discovered
Information Technology/IT9 months ago

Critical Unauthenticated RCE Vulnerability in SmarterMail (CVE-2026-24423) Discovered

In January 2026, a critical unauthenticated remote code execution (RCE) vulnerability, identified as CVE-2026-24423, was discovered in SmarterTools SmarterMail versions prior to build 9511. This flaw resided in the ConnectToHub API method, allowing attackers to direct the SmarterMail server to a malicious HTTP server that delivers harmful OS commands, which the vulnerable application would then execute. The vulnerability was independently identified by multiple researchers, including those from VulnCheck and CODE WHITE GmbH. SmarterTools addressed this issue by releasing build 9511 on January 15, 2026, which patches the vulnerability. Organizations using affected versions are strongly advised to update to the latest build to mitigate potential exploitation risks. ([vulncheck.com](https://www.vulncheck.com/blog/smartermail-connecttohub-rce-cve-2026-24423?utm_source=openai)) The discovery of CVE-2026-24423 underscores the persistent threat posed by unauthenticated RCE vulnerabilities in widely used software. Such vulnerabilities can lead to complete system compromise, data exfiltration, and service disruption. The incident highlights the critical importance of timely software updates and vigilant monitoring of security advisories to protect organizational infrastructure from 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
Google Engineer Convicted of AI Trade Secrets Theft for China Startup
Computer Software/Engineering9 months ago

Google Engineer Convicted of AI Trade Secrets Theft for China Startup

In January 2026, former Google engineer Linwei Ding was convicted on seven counts of economic espionage and seven counts of theft of trade secrets. Between May 2022 and April 2023, Ding illicitly transferred over 2,000 confidential documents related to Google's AI technology to his personal Google Cloud account. These documents detailed proprietary information about Google's supercomputing data center infrastructure, including custom Tensor Processing Unit chips, Graphics Processing Unit systems, and the Cluster Management System software. During this period, Ding secretly affiliated with two China-based technology companies, including founding Shanghai Zhisuan Technologies Co., while still employed at Google. He employed deceptive tactics to conceal his activities, such as copying data into the Apple Notes application and converting them to PDFs before uploading them to his personal account. The scheme was uncovered when Google discovered Ding's public presentation in China to potential investors about his startup. This case underscores the persistent threat of insider threats and economic espionage, particularly in the competitive field of artificial intelligence. Organizations must remain vigilant in protecting their intellectual property and sensitive information from both internal and external threats. The incident highlights the importance of robust security measures and monitoring systems to detect and prevent unauthorized access and data exfiltration.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(high)
IImpact(high)
Read report
UAT-8099's Exploitation of IIS Servers in Asia Using BadIIS Malware
Government Administration9 months ago

UAT-8099's Exploitation of IIS Servers in Asia Using BadIIS Malware

Between late 2025 and early 2026, the China-linked threat actor UAT-8099 launched a campaign targeting vulnerable Internet Information Services (IIS) servers across Asia, with a particular focus on Thailand and Vietnam. The attackers exploited security vulnerabilities to gain initial access, deploying web shells and leveraging tools like GotoHTTP for remote control. They installed customized variants of the BadIIS malware to manipulate search engine optimization (SEO) rankings, redirecting users to malicious sites and exfiltrating sensitive data. This operation underscores the evolving tactics of cybercriminals in exploiting web server vulnerabilities for financial gain and data theft. Organizations are urged to strengthen their server defenses and monitor for signs of such sophisticated intrusions. ([thehackernews.com](https://thehackernews.com/2026/01/china-linked-uat-8099-targets-iis.html?utm_source=openai))

High impact

Kill Chain

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