Developer-Security

4 reports

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

Claude Code Prompt Injection via GitHub Supply Chain

ATLAS OWASP HIGH ▲ 9.1 BleepingComputer Jun 29, 2026

Mozilla 0DIN researchers demonstrated a novel attack chain in which a seemingly clean GitHub repository tricks AI coding agents like Claude Code into executing a reverse shell payload — with no malicious code ever present in the repo itself. The attack leverages three innocuous components: a Python package that deliberately errors on first run, an error message that instructs the agent to run an init command, and a shell script that fetches and executes a payload stored in an attacker-controlled DNS TXT record. The technique exploits the autonomous error-recovery behaviour of agentic AI tools, effectively turning a safety feature into an attack vector.

GitHub Releases Copilot Agentic Harness Evaluation

FIRST LOOK ATLAS OWASP MEDIUM ▲ 6.2 GitHub Blog Jun 26, 2026

GitHub has published an evaluation of its Copilot agentic harness, detailing how the orchestration layer performs across multiple underlying models and coding tasks — effectively documenting the architecture of an autonomous, multi-step code generation and execution system. For defenders, this transparency reveals an orchestration surface where prompt injection, supply chain manipulation, and model-switching logic can be targeted across a broader set of model backends than previously understood. Security teams should treat the harness itself as a critical trust boundary, since compromising task routing or model selection logic could silently redirect agentic workflows to less-safe or adversary-controlled model endpoints.

Agentjacking Attack Achieves 85% Success Rate Against AI Coding Agents via Sentry MCP

ATLAS OWASP CRITICAL ▲ 9.2 The Hacker News Jun 13, 2026

Tenet Security has disclosed 'Agentjacking', a novel attack class that exploits the implicit trust AI coding agents place in Model Context Protocol (MCP) data sources. By injecting malicious instructions into Sentry error events via publicly accessible DSN credentials, attackers can cause agents like Claude Code and Cursor to execute arbitrary code with full developer privileges. Researchers confirmed 2,388 exposed organisations and an 85% exploitation success rate in controlled testing, with no prior access to victim infrastructure required.

Bitwarden CLI npm Package Supply Chain Attack Steals Secrets

ATLAS OWASP HIGH ▲ 6.5 The Hacker News Apr 24, 2026

A compromised version of the Bitwarden CLI npm package was found stealing developer secrets, including configurations for AI coding tools such as Claude, Kiro, Cursor, Codex CLI, and Aider, as part of an ongoing supply chain campaign. The malicious package leveraged a preinstall hook to exfiltrate credentials and inject malicious GitHub Actions workflows, enabling persistent CI/CD pipeline compromise. The AI tooling angle elevates this beyond a standard supply chain attack, as stolen AI coding assistant credentials could enable downstream prompt injection, data leakage, or lateral movement within AI-assisted development environments.

Developer-Security

Claude Code Prompt Injection via GitHub Supply Chain

GitHub Releases Copilot Agentic Harness Evaluation

Agentjacking Attack Achieves 85% Success Rate Against AI Coding Agents via Sentry MCP

Bitwarden CLI npm Package Supply Chain Attack Steals Secrets

Stay ahead of the threat.