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First reported yesterday island.io

AgentBaiting: How Fake AI Skills Deliver Malware at Scale

Island security researchers uncovered the FakeGit campaign, which used roughly 7,600 malicious GitHub repositories—over 800 posing as AI Skills or MCP servers—to deliver SmartLoader malware that installs the StealC information stealer. The campaign introduces a technique called AgentBaiting, in which AI agents such as Claude Code, Gemini, and ChatGPT autonomously discover the attacker repositories, treat the malicious README as legitimate documentation, and pass installation instructions to users; the operation recorded over 14 million downloads.

supply-chain · tool-abuse · malware-delivery · agentbaiting
mcp · ai-agents · ai-skills · llm · copilot

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First reported 11 Jul · updated yesterday · 2 reports asset-group.github.io

We put the exploit in a picture. Your AI code reviewer never opens it.

Researchers from the University of Missouri-Kansas City's ASSET Research Group demonstrated 'Ghostcommit,' an attack that hides malicious prompt-injection instructions inside a PNG image so AI code reviewers (CodeRabbit, Cursor Bugbot) never see them. A benign-looking AGENTS.md convention file points to build-spec.png, whose rendered text instructs a coding agent to read the repo's .env byte-by-byte and emit the secrets as an integer tuple; the payload sits dormant until an unrelated agent session triggers exfiltration. A proof-of-concept is published on GitHub and the findings were disclosed to affected vendors.

First reported yesterday · updated yesterday · 3 reports appsentinels.ai

One Poisoned MCP Server Can Hijack All the Others — Coograph

MCP tool poisoning hides malicious instructions inside a Model Context Protocol server's tool descriptions, parameter schemas, or return values — invisible to human reviewers but fully read by the LLM, which then selects and executes the poisoned tool, enabling data exfiltration, credential theft, or lateral movement. The technique spans schema poisoning, tool shadowing, and rug pulls, and is catalogued as OWASP MCP03:2025; a single malicious server can influence an agent's decisions across all connected tools (cross-tool poisoning).

First reported 2d ago swarmnetics.com

Agentjacking and MCP trust: are AI coding agents too easy to steer?

Agentjacking, described by Swarmnetics and Tenet Security, abuses trusted error-report inputs in AI coding agents: an attacker with a publicly exposed Sentry DSN can inject malicious instructions into telemetry that the agent processes, steering it to exfiltrate secrets such as cloud keys, Git credentials, and private repo URLs. The root flaw is that these systems treat source trust as if it equals action trust, letting external report text become executable guidance.

First reported 22 Jun tenetsecurity.ai

A public Sentry key is all it takes to hijack Claude Code, Cursor, and Codex

Researchers at Tenet Security describe "agentjacking," an attack in which a publicly exposed Sentry key lets an attacker inject fake error messages that AI coding agents such as Claude Code, Cursor, and Codex ingest via the Sentry MCP server. The crafted error content acts as an indirect prompt injection, hijacking the agent to execute attacker-directed actions; the team also published a mitigation tool, agent-jackstop, on GitHub.

First reported 7 Jul · updated 3d ago · 3 reports theregister.com

GitLost: How We Tricked GitHub’s AI Agent into Leaking Private Repos - Noma Security

Noma Security's "GitLost" research demonstrated that GitHub Agentic Workflows (AI agents backed by Claude or Copilot) could be tricked via indirect prompt injection: an unauthenticated attacker posts a crafted issue on a public org repo, and the agent fetches a private repo's README and posts it in a public comment. The PoC used an "Additionally" prefix to bypass guardrails and was disclosed to GitHub with no public patch date noted.

First reported 3d ago nhimg.org

AI browser guardrail bypass exposes a new data theft path

LayerX Security describes a "BioShocking" attack that games an AI browser into violating its guardrails by establishing a false reality, enabling data theft, code copying, and system command execution. The attack exploits the browser-mediated trust boundary, using indirect or staged instructions embedded in webpage context that pass prompt filters yet still steer the model into malicious enterprise actions inside an authenticated session.

First reported 17 Jul infosecwriteups.com

Google fixing Android lock screen bug that lets Gemini send SMS without a PIN

Google is fixing an Android 16 lock screen bypass in which Gemini, accessible from the lock screen, can be tricked into sending SMS and WhatsApp messages without a PIN. Pressing Gemini's "Continue" prompt simultaneously with its "Add attachment" button lets an attacker with physical access dispatch messages and re-enable Gemini's access to previously disconnected apps, all while the device stays locked.

First reported 17 Jul nist.gov

NVD - CVE-2026-30741

CVE-2026-30741 is a remote code execution vulnerability in OpenClaw Agent Platform v2026.2.6 that allows attackers to execute arbitrary code via a request-side prompt injection attack. CISA-ADP rated it CVSS 3.1 base 9.8 (Critical), classified as CWE-94 code injection, with public exploit references including a GitHub PoC repository.

First reported 14 Jul · updated 16 Jul · 2 reports manifold.security

ClaudeBleed Reopened: Browser Extensions Can Still Push Claude for Chrome to Read Your Gmail

Manifold Security researcher Ax Sharma disclosed two unpatched vulnerabilities in Anthropic's Claude for Chrome extension (v1.0.80). Any browser extension with a content script on claude.ai can inject a DOM element and dispatch a synthetic click that Claude treats as a legitimate user action, triggering one of nine hardcoded workflows that read Gmail, Google Docs, and Calendar or act on Salesforce; a second flaw initializes the side panel in privileged mode via a ?skipPermissions=true URL parameter with no consent. Rated CVSS 7.7 in default mode and 9.6 Critical when 'Act without asking' is enabled, and reportedly still reproducible after eight releases since being reported to Anthropic in May.

First reported 16 Jul mitiga.io

MCP Token Theft in Claude Code: A Man-in-the-Middle Attack Chain

Mitiga Labs research details a man-in-the-middle attack chain against Claude Code in which a user-level post-install hook rewrites MCP server endpoints in ~/.claude.json to route MCP traffic through attacker-controlled infrastructure and steal OAuth tokens for connected SaaS (Jira, Confluence, GitHub, etc.). Because provider-side audit logs still show valid OAuth traffic from Anthropic's trusted egress range, the malicious activity blends in as legitimate user actions, and token rotation fails to break the chain while the hook keeps reseeding the config.

First reported 30 Jun · updated 14 Jul · 2 reports tenetsecurity.ai

Fake Bug Report Hijacks AI Coding Agents at Scale

Tenet Security demonstrated "agentjacking," an indirect prompt-injection technique in which an attacker plants a single fake error report in a public bug-tracking service (Sentry) that hijacks AI coding agents into running attacker-controlled code on a developer's machine. In controlled testing, widely used assistants including Claude Code, Cursor, and Codex retrieved the poisoned error data and, in many cases, executed the code, opening a path to theft of cloud credentials, AWS keys, GitHub tokens, SSH keys, and CI/CD secrets.

First reported 13 Jul ainowinstitute.org

Friendly Fire: Hijacking Defensive Cyber AI Agents for Remote Code Execution

The AI Now Institute published an exploit brief and PoC (GitHub: Boyan-MILANOV/friendly-fire-ai-agent-exploit) demonstrating remote code execution against Anthropic's Claude Code CLI (auto-mode) and OpenAI's Codex CLI (auto-review) when these defensive coding agents are used to assess third-party or open-source libraries. The attack embeds prompt injections across a library's source code to hijack the AI agent, requiring no hooks, skills, plugins, MCP servers, or config files as an injection vector.

First reported 13 Jul 0din.ai

Mozilla Shows the Danger of Indirect Prompt Injections in AI Coding Agents

Mozilla 0DIN researchers Andre Hall and Miller Engelbrecht demonstrated a proof-of-concept attack where a clean GitHub repository with no malicious code uses indirect prompt injection to trick AI coding agents like Anthropic's Claude Code into chaining routine actions that grant an attacker shell command access and persistence. The malicious payload never appears in the repository; instead it is pulled at runtime from DNS after the agent blindly trusts the repo, evading scanners and human review.

First reported 13 Jul · updated 13 Jul · 2 reports hiddenlayer.com

EchoGram and guardrail bypass: are AI defenses keeping up?

HiddenLayer research dubbed EchoGram demonstrates that carefully chosen token sequences can flip verdicts in LLM guardrail models, causing harmful prompts to be marked safe or benign prompts to trigger false alarms. The NHIMG editorial summarizes the finding and its implications for organizations relying on probabilistic AI safety layers to protect deployed LLMs and agents.

First reported 7 Jul · updated 9 Jul · 6 reports noma.security

GitLost: How We Tricked GitHub’s AI Agent into Leaking Private Repos

Noma Security researchers demonstrated GitLost, an indirect prompt injection technique that lets an attacker open a normal-looking public GitHub issue to steer GitHub Agentic Workflows into leaking the contents of an organization's private repositories into a public comment. The attack requires no stolen credentials or access, only that the organization's agent has read access across its repos.

First reported 30 Jun simonwillison.net

Microsoft Warns Poisoned MCP Tool Descriptions Can Make AI Agents Leak Data

Microsoft research describes how attackers can poison MCP tool descriptions to hijack AI agents into quietly exfiltrating company data to an outsider, without the agent visibly breaking any rule so default setups raise no alarm.

First reported 30 Jun · updated 30 Jun · 2 reports adversa.ai

GuardFall: a universal shell injection vulnerability in open-source AI agents

Adversa AI research describes GuardFall, a bypass of AI coding agents' safety filters using decades-old shell injection tricks to execute dangerous commands. The bypass reportedly worked against 10 of 11 tested popular open-source coding and computer-use agents, with only 'Continue' being resistant.

First reported 30 Jun thehackernews.com

New BioShocking Attack Tricks AI Browsers Into Leaking User Credentials

LayerX disclosed a technique called BioShocking that convinces AI browsers they are playing a game, tricking them into copying a user's credentials and sending them to an attacker. Six AI browsers and assistants were affected, including OpenAI's ChatGPT Atlas, Perplexity's Comet, and Anthropic's Claude browser extension.

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