Supply Chain

CVE-2026-19592: Git Config Flaw Lets Attackers Run Code in Codex

ATLAS OWASP CRITICAL ▲ 9.2 The Hacker News Sep 03, 2026

Manifold Security disclosed GitSpawn, a class of eight vulnerabilities across seven AI coding agents — including Claude Code, Codex, Cursor, Qwen Code, and Grok Build — in which a malicious `.git/config` file using the `core.fsmonitor` directive causes agents to execute attacker-controlled commands at session startup, outside any sandbox or approval prompt. The attack requires the target to open a repository with its `.git` directory intact, achievable via archives, USB drives, or shared folders rather than standard git clones. Four agents remained unpatched at publication, with OpenAI issuing three CVEs for Codex on the same day the research dropped.

UAC-0099 GuardBreaker Trips LLM Safety to Block Malware Analysis

ATLAS OWASP HIGH ▲ 8.5 The Hacker News Sep 01, 2026

Russia-aligned threat actor UAC-0099 has deployed a technique called GuardBreaker that embeds nuclear weapon prompts inside malicious VBS scripts to deliberately trigger LLM safety guardrails and prevent AI-assisted malware analysis. This represents a maturing offensive tradecraft where adversarial prompt injection is weaponised not to extract information but to induce refusal states in AI security tooling. The technique mirrors similar tactics observed in the TeamPCP supply chain campaigns, signalling that LLM-first security pipelines are becoming a recognised and actively exploited weak point.

Rogue LLM Endpoint Hijacks Coding Agent Sessions via Free API

ATLAS OWASP HIGH ▲ 9.0 SANS Internet Storm Center Sep 01, 2026

A researcher's internet-exposed LLM honeypot was discovered by scanners, relabeled as a DeepSeek-compatible endpoint, and incorporated into 'free' AI backend infrastructure — ultimately receiving a full 224 KB coding-agent session including filesystem listings, tool manifests, and private file contents. The incident demonstrates that a malicious rogue model endpoint occupies a privileged position in an agent's control plane, capable of issuing tool-call responses that the agent may execute locally without further verification. This represents a novel supply-chain-style threat where the adversary is not a compromised trusted service but a counterfeit reasoning backend actively solicited by users chasing free API access.

OpenAI and xAI Launch ChatGPT Mil and Grok for Pentagon Use

FIRST LOOK ATLAS OWASP MEDIUM ▲ 6.2 TechCrunch AI Sep 01, 2026

The Pentagon has expanded its GenAI.mil portal with ChatGPT Mil and Grok for Government, giving 3 million DoD personnel access to frontier AI models in a data-isolated, government-controlled environment. This closes a meaningful defensive gap by eliminating the need for personnel to route sensitive work through consumer AI channels with commercial data collection practices. Residual gaps remain around classification-level coverage, multi-model governance consistency, and operational maturity for high-stakes mission contexts.

Apple Accuses Ex-Employee of Stealing AI Trade Secrets for OpenAI

ATLAS OWASP HIGH ▲ 6.5 TechCrunch AI Sep 01, 2026

Apple has filed new evidence in its lawsuit against OpenAI, alleging that former employee Chang Liu used confidential Apple circuit schematics at OpenAI and enlisted a colleague to destroy evidence. The case highlights significant insider threat and intellectual property risks at the intersection of major AI companies. Apple is seeking a preliminary injunction to block OpenAI from developing hardware based on allegedly stolen technology.

AI Agents Install Unowned Packages via Poisoned llms.txt Files

ATLAS OWASP CRITICAL ▲ 9.2 Ars Technica Security Aug 28, 2026

Researchers discovered that over 120 corporate websites contained misconfigured llms.txt files referencing unregistered package names, which AI coding agents including Claude, Codex, and Hermes automatically executed as trusted installation instructions. By registering a handful of the unclaimed package names and hosting beacon payloads, researchers received phone-home responses from dozens of companies including Fortune 500 firms within hours, confirming real-world agent-driven supply chain compromise. The attack exploits the implicit trust AI agents place in vendor documentation files, with at least one site found directing visitors to live malware.

AI Gateways Targeted: LiteLLM, RAGFlow, Kestra Compromised

ATLAS OWASP HIGH ▲ 8.5 Microsoft Security Blog Aug 27, 2026

Microsoft Security Research documented active intrusions targeting three distinct AI infrastructure components — a LiteLLM gateway, a RAGFlow retrieval platform, and a Kestra workflow orchestrator — revealing a pattern of attackers treating AI control planes as high-value targets for credential theft and compute abuse. Across all three cases, attackers converged on the same objectives: stealing model-provider API keys, establishing persistence, and monetising compromised compute resources. The findings signal that AI-specific middleware and orchestration layers require the same security rigour as traditional enterprise critical infrastructure.

CVE-2026-75149: Marimo Notebook MCP Code Injection Flaw

ATLAS OWASP HIGH ▲ 8.2 The Hacker News Aug 26, 2026

A high-severity code injection vulnerability (CVE-2026-75149) in Marimo notebook software allowed attackers to embed malicious Model Context Protocol (MCP) server commands in crafted notebooks, triggering local subprocess execution before any user cell runs. The flaw, scoring 8.8 on CVSS v3.1, required no attacker authentication and only needed the victim to open the notebook in edit mode. Marimo patched the issue in version 0.23.15 by treating all notebook metadata as attacker-controlled and enforcing an allowlist over configuration sections including AI, MCP, and secrets.

CVE-2025-62593: Ray AI Framework RCE via DNS Rebinding

ATLAS OWASP CRITICAL ▲ 8.5 The Hacker News Aug 24, 2026

CISA has added CVE-2025-62593 to its Known Exploited Vulnerabilities catalog, flagging a critical flaw in the Ray distributed AI/ML computing framework that enables remote code execution through DNS rebinding attacks via Firefox and Safari. The vulnerability stems from Ray's longstanding absence of authentication on critical API endpoints, allowing attackers to execute arbitrary shell code on developer machines or pivot into private corporate networks. Active exploitation has been observed by the RondoDox DDoS botnet and a self-replicating GPU cryptomining campaign dubbed ShadowRay 2.0.

RedC2 4.0 AI-Assisted Backdoor Hidden in npm Packages

ATLAS OWASP HIGH ▲ 7.2 The Hacker News Aug 22, 2026

Fourteen trojanized npm packages posing as calendar and streak utilities have been discovered delivering RedShell, the Linux beacon component of RedC2 4.0 — a commercially sold, AI-assisted command-and-control framework. The packages are functional by design, lowering suspicion while silently launching a detached backdoor process on import with no install hook required. RedC2 4.0 supports credential theft, in-memory execution, tunneling, and multi-beacon operations, making successful deployment a significant post-exploitation risk for any Linux environment that consumes affected packages.

CVE-2026-64849: MLflow SSRF Exploited to Steal Cloud Credentials

ATLAS OWASP CRITICAL ▲ 8.5 The Hacker News Aug 19, 2026

A critical unauthenticated SSRF vulnerability in MLflow (CVE-2026-64849, CVSS 9.3) is being actively exploited within hours of CVE assignment, allowing attackers to proxy requests through exposed Tracking Servers to cloud metadata endpoints and exfiltrate credentials and secrets. Threat intelligence from watchTowr's honeypot telemetry confirms indiscriminate scanning of internet-facing MLflow instances targeting well-known internal IP ranges. Organisations running MLflow versions below 3.15.0 are at immediate risk and should treat this as a critical, time-sensitive patching priority.

Shostack's LLM Threat Model Responds to Hugging Face Attack

ATLAS OWASP HIGH ▲ 7.2 Dark Reading Aug 18, 2026

Renowned threat modeler Adam Shostack has responded to OpenAI's disclosure of the PHANTOM-B attack against Hugging Face, describing the revelations as significant enough to reshape his thinking on LLM threat modeling. Shostack has developed a new lightweight threat model specifically for LLMs, aiming to balance practical usability with comprehensive coverage of emerging AI attack surfaces. The intersection of a high-profile supply chain attack on a major model-sharing platform with updated threat modeling frameworks signals a maturing discipline within AI security.

GitHub Copilot Autofix Introduced CI/CD Injection in Snowflake

ATLAS OWASP CRITICAL ▲ 9.2 HN AI Security Aug 18, 2026

Wiz Research's autonomous Red Agent discovered and exploited a GitHub Actions script injection vulnerability in a Snowflake public repository, introduced by a GitHub Copilot Autofix co-authored commit just five days prior. The flaw allowed any unauthenticated GitHub user to execute arbitrary commands in a Actions runner by crafting a malicious issue title, ultimately enabling exfiltration of a token granting access to Snowflake's internal Jira instance. The incident exposes a critical trust gap: AI-assisted code review and AI-generated fixes can introduce and simultaneously fail to detect severe security vulnerabilities.

Anthropic MCP Server Security Risks and Secrets Exposure Explained

FIRST LOOK ATLAS OWASP HIGH ▲ 7.2 The Hacker News Aug 18, 2026

This analysis examines how Model Context Protocol (MCP) servers — the middleware layer connecting AI agents to enterprise tools and data — routinely store credentials in plaintext configuration files and propagate them across ungoverned environments. For defenders, the piece closes an awareness gap by naming concrete credential exposure patterns unique to the agentic AI layer, giving security teams a structured surface to inventory and govern. What remains unaddressed is tooling maturity: automated discovery, centralised secrets management integration, and runtime visibility into MCP server activity are still nascent capabilities that organisations must build rather than buy.

GhostSplice MCP Attack Splits Prompts to Exfiltrate SSH Keys

ATLAS OWASP HIGH ▲ 8.5 The Hacker News Aug 16, 2026

ASSET Research Group has disclosed GhostSplice, a technique that fragments malicious instructions across multiple Model Context Protocol (MCP) server channels to evade AI coding assistant safety filters and trigger secret exfiltration. By splitting a theft request into individually innocuous pieces placed in tool descriptions and tool results, the attack raised average model compliance from 42% to 82% across eleven tested models. The research highlights that host-side safety controls matter as much as model-level refusals, with the same model behaving differently across coding clients.

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