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ChatGPT Code Runtime Exfiltrates Data via Prompt Injection

ChatGPT Code Runtime Exfiltrates Data via Prompt Injection

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Check Point Research

Check Point Research disclosed a critical vulnerability in ChatGPT's code execution runtime that allows a single malicious prompt to establish a covert outbound exfiltration channel, bypassing OpenAI's stated network isolation safeguards. Sensitive user data — including uploaded files, conversation content, and personal documents — could be silently transmitted to attacker-controlled servers without user knowledge or consent. The same channel was also found capable of enabling remote shell access within the Linux execution environment.

Vertex AI Privilege Escalation Exposes GCP Credentials

Vertex AI Privilege Escalation Exposes GCP Credentials

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Palo Alto Unit 42

Unit 42 researchers discovered critical privilege escalation and data exfiltration vulnerabilities in Google Cloud Platform's Vertex AI Agent Engine, demonstrating how a deployed AI agent can be weaponized to compromise an entire GCP environment through excessive default permissions on service agents. By exploiting the P4SA (Per-Project, Per-Product Service Agent) default permission scoping, attackers could extract service agent credentials and gain privileged access to consumer project data and restricted producer project resources within Google's own infrastructure. Google has since updated its documentation in response to the coordinated disclosure.

Google Vertex AI Over-Privilege Enables Data Exfiltration

Google Vertex AI Over-Privilege Enables Data Exfiltration

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 Dark Reading

Palo Alto Networks researchers have identified over-privilege vulnerabilities in Google's Vertex AI platform, demonstrating how malicious actors could exploit AI agents to exfiltrate sensitive data and pivot into restricted cloud infrastructure. The findings highlight systemic risks in agentic AI deployments where excessive permissions granted to AI workloads expand the attack surface beyond traditional cloud security boundaries. This research underscores the growing urgency around securing AI agent permissions and enforcing least-privilege principles in enterprise ML platforms.

AI Browser Extensions 60% Riskier Than Standard Tools

AI Browser Extensions 60% Riskier Than Standard Tools

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 The Hacker News

A LayerX report reveals that AI browser extensions represent a largely unmonitored attack surface in enterprise environments, with 1-in-6 enterprise users already running at least one AI extension. These extensions are statistically riskier than standard extensions — 60% more likely to carry a CVE, 3x more likely to access cookies, and capable of exfiltrating sensitive data without triggering DLP or SaaS monitoring controls. The finding highlights a critical governance gap in AI consumption channels that bypasses traditional enterprise security tooling.

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