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

Current AI Launches Open Source AI Gap Map with 421 Projects

FIRST LOOK ATLAS OWASP MEDIUM ▲ 5.5 Simon Willison Jul 04, 2026

Current AI has published the Open Source AI Gap Map v0.1, a structured, MIT-licensed index of 421 open-source AI products spanning models, datasets, software tools, and hardware, backed by 1,184 YAML files and tracking over 16,000 GitHub repositories. For defenders, this comprehensive public inventory creates a dual-use intelligence resource: while it aids supply chain visibility, it simultaneously provides adversaries with a curated, machine-readable attack surface map of the open-source AI ecosystem. Security teams should treat this dataset as threat-actor recon material and cross-reference their own AI dependencies against it immediately.

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 Ships Data Analytics Agent Built on Copilot

FIRST LOOK ATLAS OWASP MEDIUM ▲ 6.8 GitHub Blog Jun 20, 2026

GitHub has published a detailed engineering account of how it built an internal data analytics agent using GitHub Copilot, exposing the architectural patterns — including natural language-to-SQL translation, autonomous tool invocation, and internal data access — that underpin such systems. For defenders, this blueprint highlights concrete risks around prompt injection into analytics pipelines, excessive agency over sensitive internal datasets, and the challenge of auditing LLM-generated queries before execution. Organisations adopting similar agentic analytics patterns should treat this as a reference threat model rather than a safe-to-copy architecture.

Miasma Worm Compromises 73 Microsoft NPM Packages for AI Agents

ATLAS OWASP CRITICAL ▲ 8.5 Ars Technica Security Jun 09, 2026

Seventy-three Microsoft-hosted open source packages were compromised with the Miasma credential-stealing worm, which activates specifically when developers open packages inside AI coding agents. The malware, attributed to threat actor TeamPCP, exploits legitimate OIDC token workflows and SLSA provenance attestation to bypass supply-chain integrity checks and spread laterally across cloud infrastructure. This marks the second such compromise of an official Microsoft repository in as many months, indicating a sustained campaign targeting developer toolchains and the AI-assisted development pipeline.

mouse5212-super-formatter npm Malware Steals Claude Files

ATLAS OWASP HIGH ▲ 8.2 The Hacker News May 29, 2026

A malicious npm package named 'mouse5212-super-formatter' was discovered exfiltrating files from Anthropic's Claude AI user directory by authenticating to a threat actor-controlled GitHub repository. The package disguised itself as a legitimate archive utility while silently uploading all local workspace files during the postinstall phase. Notably, the attacker's poor operational security — including a leaked GitHub token — suggests AI-generated malware with minimal human oversight, pointing to a growing trend of low-skill threat actors leveraging AI to produce supply chain malware.

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.