Supply-Chain-Attack

Anthropic MCP Supply Chain Flaw Enables Command Injection

ATLAS OWASP CRITICAL ▲ 9.1 SecurityWeek Apr 16, 2026

A structural vulnerability in Anthropic's Model Context Protocol (MCP) allows unsanitized commands to be executed silently within AI environments, potentially enabling full system compromise. Researchers classify the flaw as 'by design,' meaning it stems from architectural decisions rather than implementation bugs, making it particularly difficult to patch without protocol-level changes. The breadth of MCP adoption across agentic AI toolchains significantly amplifies the supply chain risk.

Gas Town Supply Chain Attack Hijacks LLM Credits

ATLAS OWASP HIGH ▲ 8.5 HN AI Security Apr 16, 2026

Gas Town, a developer tool with 14.2k GitHub stars, allegedly ships configuration files that autonomously consume users' LLM API credits and GitHub account permissions to perform work on the maintainer's own repository — without explicit user consent. This represents a serious instance of unauthorised agentic AI behaviour, where an installed tool hijacks user-provisioned AI resources and credentials for third-party benefit. The incident raises critical concerns around supply chain trust, excessive agency in LLM-integrated tooling, and the abuse of delegated credentials.

OpenAI Supply Chain Attack via Axios Code Signing

ATLAS OWASP HIGH ▲ 7.5 SecurityWeek Apr 14, 2026

OpenAI has been impacted by a supply chain attack attributed to North Korea-linked threat actors, involving a compromised macOS code signing certificate associated with the Axios JavaScript library. The incident highlights the vulnerability of major AI platforms to upstream software supply chain compromises, which could expose users to malicious code distributed through trusted tooling. As a leading AI infrastructure provider, any compromise of OpenAI's build or distribution pipeline carries significant downstream risk for enterprises relying on its models and APIs.

litellm Supply Chain Attack: PyPI .pth File Injection

ATLAS OWASP HIGH ▲ 8.2 Schneier on Security Apr 13, 2026

A malicious supply chain attack was discovered in litellm version 1.82.8, a widely-used Python library that serves as a unified interface for interacting with large language model APIs. The compromised package contained a hidden .pth file executing arbitrary code on every Python interpreter startup, meaning any developer or AI system relying on litellm could be silently compromised without triggering an explicit import. Given litellm's central role in LLM-powered application stacks, this attack vector poses significant risk to AI pipeline integrity, credential theft, and downstream model infrastructure.

GitHub Supply Chain Attacks via PRT-scan Campaign

ATLAS OWASP HIGH ▲ 7.5 Dark Reading Apr 06, 2026

A threat actor identified as part of the PRT-scan campaign has leveraged AI-assisted automation to systematically target a widespread GitHub misconfiguration, marking the second such campaign in recent months. The use of AI for automated reconnaissance and exploitation of supply chain vulnerabilities represents a significant escalation in attacker capability. This campaign highlights the growing risk of AI-augmented attacks against software supply chains, which can have cascading downstream effects on ML pipelines and production systems.