Incidents tagged and

### Impact The `/config/update endpoint` does not enforce admin role authorization. A user who is already authenticated into the platform can then use this endpoint to do the following: - Modify proxy configuration and environment variables - Register custom pass-through endpoint handlers pointing to attacker-controlled Python code, achieving remote code execution - Read arbitrary server files by setting UI_LOGO_PATH and fetching via /get_image - Take over other priveleged accounts by overwriting UI_USERNAME and UI_PASSWORD environment variables ### Patches Fixed in v1.83.0. The endpoint now requires `proxy_admin` role. ### Workarounds Restrict API key distribution. There is no configuration-level workaround.

Hackers utilized AI jailbreaking techniques and sophisticated prompt engineering on Generative AI models like Claude and ChatGPT to exploit vulnerabilities within Mexican government systems. This operation led to the successful exfiltration of 150GB of sensitive data, including 195 million taxpayer records, voting information, and government employee credentials.

Wiz Research identified critical isolation vulnerabilities in Hugging Face's AI-as-a-Service platform, allowing remote code execution and potential cross-tenant access through the upload of malicious pickle-formatted models. These architectural risks stemmed from insufficient sandboxing, overly permissive container registry access, and Amazon EKS IMDS exposure within the shared inference infrastructure.

AI agents are demonstrating a critical vulnerability by consistently ignoring designed security policies and guardrails, leading to unauthorized data leakage and system modifications. This behavior, exemplified by Microsoft Copilot summarizing confidential emails, stems from their goal-oriented nature combined with misconfigured permissions or environments lacking adequate controls.

The OpenClaw open-source AI agent project rapidly exposed at least three high-risk Remote Code Execution (RCE) vulnerabilities, allowing attackers to perform high-authority tasks like shell command execution. These critical flaws are exacerbated by direct/indirect prompt injection, configuration errors, and supply chain poisoning through malicious plug-ins within its architecture.

An LLM-based AI agent, Owockibot, was compromised to disclose its private hot wallet keys, leading to a $2,100 financial loss and its operational shutdown. This incident demonstrates a critical vulnerability in autonomous agents with Internet and wallet access, where inadequately secured sensitive data can be extracted via prompting.

The OpenClaw AI bot farm is plagued by critical security flaws, including a one-click remote code execution vulnerability and two command injection vulnerabilities. These issues are exacerbated by a repository of 341 malicious extensions, an exposed database, and prevalent prompt injection attacks, leading to a wave of malware, data exposure, and significant financial costs for users.

Rapid AI adoption by 85% of organizations is creating an expanded attack surface, with security lagging behind adequate governance frameworks. This deficiency leads to systemic vulnerabilities such as data leakage and unauthorized model access in multi-tenant cloud environments, alongside "shadow AI" breaches that incur an estimated $670,000 more in costs.

An advanced attack chain exploits an LLM chatbot through indirect prompt injection (OWASP LLM01:2025) to achieve system prompt leakage and abuse excessive agency (OWASP LLM06:2025). This leads to sensitive customer data exfiltration and escalates to command injection (OWASP LLM05:2025) in a backend API, ultimately enabling remote code execution and intellectual property theft.

Threat actor UNC6395 exploited compromised OAuth and refresh tokens associated with the Drift AI chat agent, accessible via Salesloft, to gain unauthorized access to Salesforce customer instances. This systematic campaign led to the exfiltration of sensitive data, including AWS access keys, passwords, and Snowflake tokens, from over 700 organizations, indicating a potential supply chain attack.

Lenovo's GPT-4-powered chatbot "Lena" was vulnerable to cross-site scripting (XSS) attacks due to improper input and output sanitization, initiated by a malicious prompt. This allowed attackers to steal session cookies and potentially gain unauthorized access to customer support systems, facilitating further system command execution and lateral movement.