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Computer Software/Engineering

Breach intelligence, attack campaigns, and threat reports targeting the Computer Software/Engineering sector.

2541 threat reports
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Computer Software/Engineering Threat Reports

Showing 1897–1908 / 2541 reports
AI Coding Assistants Found Exfiltrating Code to China in 2026
Computer Software/Engineering9 months ago

AI Coding Assistants Found Exfiltrating Code to China in 2026

In January 2026, security researchers uncovered that two AI coding assistant extensions, 'ChatGPT - 中文版' and 'ChatMoss (CodeMoss)', available on the Visual Studio Code Marketplace, were surreptitiously exfiltrating developers' source code to servers in China. These extensions, collectively installed by approximately 1.5 million users, functioned as advertised but secretly transmitted entire file contents and user data without consent. The campaign, dubbed 'MaliciousCorgi', exploited the trust developers place in marketplace extensions, leading to significant exposure of proprietary code and sensitive information. This incident underscores the escalating risks associated with supply chain attacks targeting developer tools. The widespread adoption of AI-powered extensions, combined with insufficient vetting processes in extension marketplaces, has created a fertile ground for malicious actors. Organizations must prioritize stringent security assessments of third-party tools to safeguard intellectual property and maintain operational integrity.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
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
Aisle's AI Uncovers Decades-Old OpenSSL Vulnerabilities
Financial Services9 months ago

Aisle's AI Uncovers Decades-Old OpenSSL Vulnerabilities

In January 2026, Aisle's AI-assisted cybersecurity team uncovered 12 previously undetected vulnerabilities in the OpenSSL codebase, some dating back to 1998. These vulnerabilities, ranging from stack buffer overflows to encryption flaws, were promptly patched. The discovery underscores the limitations of human-only vulnerability detection and highlights the efficacy of AI-powered security tools in identifying longstanding security issues. This incident emphasizes the growing role of AI in cybersecurity, showcasing its potential to enhance threat detection and response capabilities. As AI-driven cyber threats become more sophisticated, integrating AI into security operations is increasingly vital for organizations aiming to protect their digital assets.

Critical 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
Google's 2026 Disruption of IPIDEA Proxy Network
Computer Software/Engineering9 months ago

Google's 2026 Disruption of IPIDEA Proxy Network

In January 2026, Google’s Threat Intelligence Group (GTIG) disrupted IPIDEA, a China-based residential proxy network that covertly enrolled millions of consumer devices into its infrastructure. By embedding malicious software development kits (SDKs) into various applications, IPIDEA transformed devices into proxy nodes without user consent, facilitating cybercriminal activities such as password spraying and unauthorized access to cloud environments. Google’s intervention, which included legal actions to seize control domains and collaboration with partners like Cloudflare and Lumen’s Black Lotus Labs, resulted in a significant reduction of IPIDEA’s operational capacity, removing millions of devices from the network. ([blog.google](https://blog.google/innovation-and-ai/infrastructure-and-cloud/google-cloud/gtig-ipidea-disrupted/?utm_source=openai)) This incident underscores the escalating misuse of residential proxy networks by cybercriminals and state-sponsored actors. The proliferation of such networks highlights the urgent need for enhanced vigilance among developers and consumers regarding the integration and use of third-party SDKs, as well as the importance of industry-wide collaboration to dismantle malicious infrastructures.

Medium impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
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
Malicious Chrome Extensions Compromise User Security by Hijacking Affiliate Links and Stealing ChatGPT Tokens
Computer Software/Engineering9 months ago

Malicious Chrome Extensions Compromise User Security by Hijacking Affiliate Links and Stealing ChatGPT Tokens

In January 2026, cybersecurity researchers uncovered a series of malicious Google Chrome extensions designed to hijack affiliate links and steal OpenAI ChatGPT authentication tokens. Notably, the 'Amazon Ads Blocker' extension, uploaded by '10Xprofit' on January 19, 2026, claimed to block Amazon ads but covertly injected the developer's affiliate tag into product links, replacing existing ones. This extension was part of a larger cluster targeting e-commerce platforms like AliExpress, Amazon, Best Buy, Shein, Shopify, and Walmart. Additionally, 16 other extensions masquerading as ChatGPT productivity tools were found to exfiltrate ChatGPT session tokens, granting attackers full access to users' conversation histories and associated data. This incident underscores the growing trend of malicious browser extensions exploiting the popularity of AI tools and e-commerce platforms. The deceptive nature of these extensions, often appearing legitimate and even bearing 'Featured' badges, highlights the need for heightened vigilance among users and stricter vetting processes by browser extension stores to prevent such security breaches.

High impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
Read report
OpenClaw AI's Security Challenges in 2026: A Wake-Up Call for AI Deployment
Computer Software/Engineering9 months ago

OpenClaw AI's Security Challenges in 2026: A Wake-Up Call for AI Deployment

In January 2026, the open-source AI assistant OpenClaw (formerly known as Clawdbot and Moltbot) faced significant security vulnerabilities due to its deep system access and widespread misconfigurations. Users inadvertently exposed control panels and API keys, leading to unauthorized access and potential data breaches. Additionally, the platform's susceptibility to prompt injection attacks allowed malicious actors to manipulate the AI into executing unintended commands, posing severe risks to user data and system integrity. ([axios.com](https://www.axios.com/2026/01/29/moltbot-cybersecurity-ai-agent-risks?utm_source=openai)) The incident underscores the critical need for robust security measures in AI deployments, especially as autonomous agents gain popularity. Organizations must prioritize secure configurations, implement strict access controls, and conduct regular security audits to mitigate risks associated with AI assistants like OpenClaw.

High impact

Kill Chain

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