Prompt-Injection

Microsoft 365 Copilot Prompt Injection Threats in Enterprise

ATLAS OWASP MEDIUM ▲ 6.5 Microsoft Security Blog Jun 10, 2026

Microsoft has released a structured investigator playbook for reconstructing AI-related activity across Microsoft 365 Copilot and Azure AI services, addressing the challenge of converting raw telemetry into coherent incident timelines. The playbook targets threats already observed in enterprise deployments, including prompt injection attempts and unauthorized data access, and operationalizes a scope–context–signal methodology across Purview, Defender, and Sentinel. This guidance directly supports security teams responding to AI-specific incidents where unstructured telemetry has previously hindered attribution and impact assessment.

Anthropic Claude Code Prompt Injection Leaks Secrets

ATLAS OWASP HIGH ▲ 9.1 Microsoft Security Blog Jun 08, 2026

Microsoft Threat Intelligence disclosed a vulnerability in Anthropic's Claude Code GitHub Action whereby prompt injection via untrusted GitHub content — issue bodies, PR descriptions, and comments — could cause the AI agent to read sensitive environment variables, including the ANTHROPIC_API_KEY, from /proc/self/environ. The flaw stemmed from inconsistent sandboxing: while subprocess execution paths like Bash were scrubbed of environment variables, the Read tool had no equivalent restriction. Anthropic patched the issue in Claude Code version 2.1.128 by blocking access to sensitive /proc filesystem paths.

Deepfakes and Prompt Injection Top AI Security Threats

ATLAS OWASP HIGH ▲ 7.2 Dark Reading Jun 08, 2026

Gartner analysts have identified deepfakes and prompt injection as two of four critical emerging threats where attackers currently hold a structural advantage over defenders. The advisory signals growing institutional recognition that AI-native attack vectors are maturing faster than enterprise defenses. Organizations are urged to treat these threats as priority items requiring immediate defensive investment.

ChatGPT Prompt Injection Enables Data Exfiltration

ATLAS OWASP MEDIUM ▲ 7.2 Simon Willison Jun 08, 2026

OpenAI has rolled out 'Lockdown Mode' for ChatGPT personal and self-serve business accounts, a deterministic control designed to block the data exfiltration leg of prompt injection attacks. The feature directly addresses the 'Lethal Trifecta' — the combination of private data access, untrusted content exposure, and an outbound exfiltration channel — by restricting outbound network requests at the infrastructure level rather than relying on AI-evaluated guardrails. Critically, OpenAI's own documentation acknowledges the feature's existence implies that default ChatGPT settings do not robustly prevent determined data exfiltration attacks.

Microsoft Scout Agent Vulnerable to Prompt Injection

ATLAS OWASP MEDIUM ▲ 6.5 HN AI Security Jun 04, 2026

Microsoft has launched Scout, an always-on autonomous AI agent built on the OpenClaw framework that operates across Microsoft 365 apps including Teams, Outlook, OneDrive, and SharePoint with its own Entra identity. The agent's persistent, unsupervised access to email, calendar, chat, and external systems via MCP creates a broad new attack surface for prompt injection, privilege abuse, and data exfiltration. As an experimental release with limited deployment controls, security teams should treat Scout as a high-risk agentic surface requiring careful governance before broad adoption.

Google Gemini Voice Prompt Injection via Notifications

ATLAS OWASP HIGH ▲ 8.2 Dark Reading Jun 04, 2026

A prompt injection vulnerability in Google Gemini's voice assistant allows attackers to embed malicious instructions within device notifications, which the assistant then processes as legitimate commands. This attack vector enables social engineering, unauthorized actions, and potential data exfiltration without direct user interaction with the malicious payload. The flaw highlights the growing risk of indirect prompt injection in ambient AI assistants that consume untrusted content from the surrounding environment.

ChatGPT Markdown Injection Enables Phishing in Web Summarizer

ATLAS OWASP HIGH ▲ 8.5 The Hacker News May 31, 2026

Permiso Security has disclosed ChatGPhish, a vulnerability in ChatGPT's web summarisation feature that allows attacker-controlled Markdown payloads embedded in third-party pages to render phishing links, spoofed alerts, and QR codes directly within ChatGPT's trusted UI. The attack requires no user interaction beyond asking ChatGPT to summarise a malicious page, and can exfiltrate IP addresses, User-Agent strings, and Referer headers via auto-fetched remote images. The technique significantly expands the phishing attack surface beyond email into everyday AI-assisted browsing workflows, posing a particular risk in enterprise environments.

Robinhood Prompt Injection Enables Autonomous Trade Attacks

ATLAS OWASP HIGH ▲ 7.2 HN AI Security May 31, 2026

Robinhood has launched agentic trading and a virtual credit card that allow third-party AI agents to autonomously execute stock trades and payments on behalf of users via a Model Context Protocol (MCP) integration. This architecture introduces significant attack surface through prompt injection, excessive agency, and insecure plugin design risks inherent to LLM-driven autonomous financial action. The delegation of real financial authority to AI agents with limited human-in-the-loop controls represents a systemic risk to retail investors if agent pipelines are compromised or manipulated.

SentinelOne Warns on Prompt Injection Risks in AI Agents

ATLAS OWASP MEDIUM ▲ 6.5 SentinelOne Blog May 25, 2026

SentinelOne has published guidance on securing agentic AI systems, framing unverified trust in AI agents as a core enterprise risk. The piece promotes their Prompt Security product as a control layer for AI tools, agents, and pipelines deployed across the enterprise. While primarily a product-focused announcement, it highlights the genuine security challenge of blind trust in autonomous AI agents executing actions on behalf of users and systems.

Gemini Spark Prompt Injection Exposes Enterprise Gmail Data

ATLAS OWASP MEDIUM ▲ 6.5 Simon Willison May 22, 2026

Google's newly announced Gemini Spark personal AI agent, integrated with Gmail, Drive, Calendar, and other sensitive Google services, presents a significant prompt injection attack surface as it processes user data at scale. The article highlights that Google's published security mitigations — ephemeral VMs, Agent Gateway, and DLP policies — address infrastructure isolation but do not directly address the prompt injection vector inherent to LLM-powered agents processing untrusted content. Additionally, the transition from open-source Gemini CLI to a closed-source Antigravity CLI raises supply chain transparency concerns.

Microsoft RAMPART Tests AI Agents for Prompt Injection

ATLAS OWASP MEDIUM ▲ 7.2 The Hacker News May 22, 2026

Microsoft has released two open-source tools, RAMPART and Clarity, aimed at embedding security testing into AI agent development workflows. RAMPART extends the existing PyRIT framework with a Pytest-native harness for running adversarial and safety tests against AI agents, explicitly covering cross-prompt injection, data exfiltration, and behavioural regression scenarios. Clarity operates as a pre-code design analysis tool, helping teams surface and challenge unsafe assumptions before an agentic system is built.

Claude Chrome Extension Prompt Injection Enables Agent Takeover

ATLAS OWASP HIGH ▲ 9.1 SecurityWeek May 09, 2026

A vulnerability dubbed ClaudeBleed in Anthropic's Claude Chrome extension allows any browser extension to inject arbitrary prompts into the Claude AI agent by exploiting lax permission checks and improper trust validation. Attackers can bypass user confirmation protections via DOM manipulation and repeated message forging, enabling full agent takeover for information theft or unauthorized actions. The flaw effectively breaks Chrome's extension security model and exposes users running Claude's agentic capabilities to third-party extension compromise.

TrustFall: Repository Poisoning RCE in AI Coding Tools

ATLAS OWASP HIGH ▲ 8.5 Dark Reading May 08, 2026

A vulnerability class dubbed 'TrustFall' demonstrates that malicious code repositories can trigger arbitrary code execution in AI-assisted developer tools including Claude Code, Cursor CLI, Gemini CLI, and GitHub Copilot CLI, with little to no user interaction required. The attack surface stems from inadequate or easily dismissed warning dialogs that fail to surface the risk of executing untrusted repository content. Developers cloning or opening adversarial repositories are exposed to full host-level compromise through the elevated trust these AI coding agents place in repository-supplied context.

Pixel-Level Perturbations Enable Invisible Prompt Injection in Vision-Language Models

ATLAS OWASP HIGH ▲ 8.2 SecurityWeek May 08, 2026

Cisco's AI Threat Intelligence team has demonstrated that bounded pixel-level perturbations can recover the attack effectiveness of degraded typographic images against vision-language models (VLMs), enabling hidden prompt injection that bypasses both human review and content filters. The technique works by optimising perturbations against open-source embedding models and transferring results to proprietary systems like GPT-4o and Claude, exposing a cross-model transferability risk. The attack allows adversaries to embed instructions—such as data exfiltration commands—inside images that appear as visual noise to human observers.

CVE-2026-26030: Semantic Kernel RCE via Prompt Injection

ATLAS OWASP CRITICAL ▲ 9.2 Microsoft Security Blog May 08, 2026

Microsoft's Defender Security Research Team disclosed two CVEs in Semantic Kernel — a widely-used AI agent orchestration framework — demonstrating how prompt injection can escalate to remote code execution via compromised plugins. The vulnerabilities (CVE-2026-26030 and CVE-2026-25592) expose a systemic risk in the agentic AI layer: because frameworks like Semantic Kernel abstract tool orchestration, a single flaw in how LLM outputs are mapped to system tools can propagate across every application built on that foundation. This research signals a critical shift in AI threat modelling, where prompt injection is no longer a content risk but an execution risk.

Prompt-Injection

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