Supply Chain

120 reports

All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Jailbreaks Adversarial ML Data Poisoning Model Theft AI Security Tools Security Operations

Ghostcommit PoC Embeds Prompt Injection in PNG to Steal Repo Secrets

FIRST LOOK ATLAS OWASP CRITICAL ▲ 9.2 BleepingComputer Jul 11, 2026

Researchers from UMKC's ASSET Research Group have published a proof-of-concept attack called Ghostcommit that hides malicious prompt injection instructions inside PNG image files referenced by AGENTS.md convention files, causing AI coding agents to silently exfiltrate repository secrets. The technique exploits a blind spot shared by multiple AI code review tools — including CodeRabbit and Bugbot — which exclude or ignore binary image files from analysis, allowing the payload to survive review undetected. Defenders operating AI-assisted development pipelines must treat image files in agentic context paths as a new, uncontrolled input surface and reassess trust boundaries around automatically-ingested project convention files.

Microsoft MDASH Brings AI-Powered Windows Vulnerability Discovery

FIRST LOOK ATLAS OWASP HIGH ▲ 7.2 BleepingComputer Jul 10, 2026

Microsoft has deployed MDASH (Multi-model Agentic Scanning Harness), an AI-powered agentic system that autonomously scans Windows binaries for vulnerabilities and validates findings through multiple AI models before human engineer review. The accelerated discovery pipeline means defenders will see a higher volume of Patch Tuesday fixes, compressing patch deployment windows and increasing pressure on enterprise patch management processes. Simultaneously, the same AI-accelerated vulnerability discovery capability is available to adversaries, raising the risk that threat actors identify and weaponise flaws faster than Microsoft's pipeline can remediate them.

CVE-2026-12958: GhostApproval Symlink Attack on Coding Agents

ATLAS OWASP HIGH ▲ 8.7 The Hacker News Jul 09, 2026

Wiz researchers disclosed GhostApproval, a symlink-based attack affecting six AI coding assistants — Amazon Q Developer, Claude Code, Augment, Cursor, Google Antigravity, and Windsurf — that allows malicious repositories to write attacker-controlled content to sensitive files such as SSH authorized_keys or shell startup scripts. The core failure is an informed-consent bypass: the agent's approval dialog names a harmless file while the write targets a sensitive one, or in some tools the write completes before any prompt appears. Three vendors have patched, two have not, and Anthropic disputes the classification as a vulnerability.

Prompt Injection Attacks Claude Code and Codex Execution

ATLAS OWASP HIGH ▲ 9.2 The Hacker News Jul 09, 2026

Researchers at the AI Now Institute have demonstrated a proof-of-concept attack dubbed 'Friendly Fire' that tricks AI coding agents — specifically Anthropic's Claude Code and OpenAI's Codex in autonomous mode — into executing malicious binaries while performing routine security reviews. The attack embeds a disguised payload inside an open-source library and uses a plain README.md instruction to direct the agent to run a malicious shell script, bypassing existing trust-prompt defences. Because the weakness is architectural rather than version-specific, no patch exists; mitigation requires workflow changes.

Y Combinator Ships Agentic Code Generation at 37K Lines Daily

FIRST LOOK ATLAS OWASP MEDIUM ▲ 5.8 HN AI Security Jul 08, 2026

Y Combinator CEO Garry Tan has publicly claimed to ship approximately 37,000 lines of AI-generated code per day using agentic coding tools, and an independent developer analysis has revealed the underlying mechanics of this workflow. This level of AI-assisted code velocity introduces meaningful security concerns around code provenance, supply chain integrity, and the reduced human review time per line of shipped code. Defenders should treat high-velocity AI code pipelines as a new supply chain risk category requiring dedicated SAST/DAST tooling and policy controls.

Tencent Releases Hy3 295B Open-Source Model with 256K Context

FIRST LOOK ATLAS OWASP MEDIUM ▲ 5.5 Simon Willison Jul 07, 2026

Tencent has released Hy3, a 295B-parameter Mixture-of-Experts open-source model under Apache 2.0, featuring 256K context length and temporarily available for free inference via OpenRouter. The model's large context window, open weights, and Chinese provenance expand the attack surface for defenders managing LLM supply chains, jailbreak campaigns, and influence operations. Security teams should treat this as another high-capability open-weight model requiring the same scrutiny applied to comparable releases from Mistral or Meta.

NVIDIA and Hugging Face Launch GR00T 1.7 Robot Model

FIRST LOOK ATLAS OWASP HIGH ▲ 7.8 NVIDIA AI Blog Jul 07, 2026

NVIDIA and Hugging Face have integrated the Isaac GR00T 1.7 vision-language-action model, Isaac Teleop framework, and a 350,000-trajectory open dataset into the LeRobot open-source robotics library, creating an end-to-end open pipeline for training and deploying physical AI systems. This dramatically lowers the barrier to fine-tuning and deploying robot foundation models, expanding the attack surface across the full ML supply chain — from poisoned community datasets to adversarially crafted demonstrations used in teleop data collection. Defenders responsible for robotics deployments must now contend with a large, loosely governed open-source ecosystem where compromised models or datasets can directly translate to unsafe physical-world behaviour.

AWS Launches Multi-Turn RL for Amazon Nova

FIRST LOOK ATLAS OWASP HIGH ▲ 7.2 AWS Machine Learning Blog Jul 07, 2026

AWS has released a production-grade, event-driven multi-turn reinforcement learning training infrastructure for Amazon Nova models on SageMaker HyperPod, enabling enterprises to train agents that learn tool orchestration, error recovery, and sequential decision-making at scale. This materially expands the attack surface by introducing complex reward-routing pipelines, ephemeral compute provisioning, and environment-facing reward workers as new targets for poisoning and manipulation. Defenders must scrutinise the trust boundaries between the Nova Forge SDK, ECS reward workers, and HyperPod training pods, as a compromised reward signal can silently shape model behaviour across entire interaction sequences.

OfficeCLI Brings Microsoft Office Automation to AI Agents

FIRST LOOK ATLAS OWASP HIGH ▲ 7.8 HN AI Security Jul 07, 2026

OfficeCLI is an open-source, single-binary tool that enables AI agents to programmatically read, write, and automate Microsoft Word, Excel, and PowerPoint files without requiring a local Office installation. This dramatically expands the file-system attack surface for agentic AI systems, enabling prompt injection via document content, automated exfiltration of sensitive Office files, and weaponisation of documents as a persistent injection vector. Defenders operating AI agent pipelines that touch file systems must now treat any Office document as a potential adversarial input channel.

SkillCloak Bypasses AI Agent Skill Scanners at 90% Rate

ATLAS OWASP HIGH ▲ 8.5 The Hacker News Jul 07, 2026

Researchers at Hong Kong University of Science and Technology have demonstrated that static scanners used to vet malicious AI agent 'skills' — modular add-ons for agents like Claude Code and OpenAI Codex — can be systematically bypassed using a tool called SKILLCLOAK. The technique leverages either character-substitution obfuscation or self-extracting packing into scanner-ignored directories like .git/, achieving evasion rates above 90% across all eight tested scanners. The same research team also developed SKILLDETONATE, a runtime behavioral sandbox that catches most of the threats static analysis misses.

Amazon Q Extension Credential Theft via MCP Injection

ATLAS OWASP HIGH ▲ 8.5 Dark Reading Jul 05, 2026

A vulnerability in the Amazon Q Visual Studio Code extension allows adversaries to plant malicious repositories that execute arbitrary code and exfiltrate cloud credentials. The flaw highlights escalating risks associated with Model Context Protocol (MCP) integrations embedded within AI-powered developer tools. This attack vector represents a growing threat surface as AI coding assistants gain privileged access to developer environments and cloud infrastructure.

Alibaba and Baidu Launch LLMs With US-Level Capabilities

FIRST LOOK ATLAS OWASP HIGH ▲ 6.2 Dark Reading Jul 04, 2026

Two newly released large language models from Chinese AI firms have reached capability parity with leading US frontier models, expanding the global pool of powerful AI available to both commercial and adversarial users. For defenders, this development broadens the asymmetry between attackers — who gain access to capable, potentially less-restricted models — and defenders, who must now account for threats generated by a wider set of model providers. Security teams should anticipate increased use of these models for offensive tasks such as phishing content generation, vulnerability research automation, and social engineering at scale.

Langflow LLM Agents Exploited for Ransomware Delivery

ATLAS OWASP CRITICAL ▲ 9.2 SecurityWeek Jul 04, 2026

A documented ransomware attack leveraged agentic AI infrastructure — specifically the Langflow LLM orchestration platform — to automate multi-stage intrusion chains combining known exploitation techniques with real-time LLM reasoning. This marks a significant escalation in threat actor capability, demonstrating that agentic AI can serve as an autonomous attack coordinator rather than merely an assistant. Security teams running self-hosted AI orchestration platforms now face an expanded attack surface where the AI layer itself can be both the entry point and the execution engine.

Microsoft Copilot MCP Tool Poisoning Enables Data Exfiltration

ATLAS OWASP HIGH ▲ 9.1 The Hacker News Jul 04, 2026

Microsoft researchers have demonstrated how attackers can embed hidden instructions inside MCP tool descriptions to covertly redirect AI agents into exfiltrating sensitive business data. Because each individual action the agent takes appears legitimate — using approved tools and the user's own permissions — default security controls generate no alerts. The attack exploits a fundamental design tension in MCP: tool descriptions simultaneously carry operational instructions and attacker-controlled data, collapsing a critical trust boundary.

Agentjacking: Prompt Injection via Malicious Bug Reports

ATLAS OWASP HIGH ▲ 8.2 Dark Reading Jul 04, 2026

A technique dubbed 'agentjacking' exploits the inability of AI coding agents to distinguish between legitimate content and embedded instructions, allowing attackers to hijack agent behaviour through maliciously crafted bug reports. The attack represents a scalable, low-barrier prompt injection vector targeting developer workflows that rely on autonomous AI agents. As AI coding assistants gain broader adoption and elevated system permissions, this class of attack poses a significant risk to software supply chain integrity.

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