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Anthropic says it hit a $30 billion revenue run rate after 'crazy' 80x growth OpenAI voice models get GPT-5-class reasoning AI agent identity: how to govern agentic AI in 6 stages Anthropic wants to own your agent's memory, evals, and orchestration — and that should make enterprises nervous Enterprise GPU utilization: why 95% of AI infrastructure spend is wasted Governance, not gatekeeping: How SAP brings enterprise‑grade safety to AI connectivity Anthropic introduces "dreaming," a system that lets AI agents learn from their own mistakes RL orchestration: how a 7B model routes tasks across GPT-5, Claude, and Gemini Meet ZAYA1-8B, a super efficient open reasoning model trained on AMD Instinct MI300 GPUs Anthropic Skill scanners passed every check. The malicious code rode in on a test file. Why AI breaks without context — and how to fix it Market research is too slow for the AI era, so Brox built 60,000 identical 'digital twins' of real people you can survey instantly, repeatedly The app store for robots has arrived: Hugging Face launches open-source Reachy Mini App Store with 200+ apps Scaling AI into production is forcing a rethink of enterprise infrastructure Miami startup Subquadratic claims 1,000x AI efficiency gain with SubQ model; researchers demand independent proof. GPT-5.5 Instant shows you what it remembered — just not all of it One command turns any open-source repo into an AI agent backdoor. OpenClaw proved no supply-chain scanner has a detection category for it AI agents are missing all the discussions your team is having. SageOX has an answer: agentic context infrastructure OpenAI turns its sold-out GPT-5.5 party into a monthlong Codex giveaway for 8,000 developers Inside AMEX’s agentic commerce stack: How intent contracts and single-use tokens enforce AI transactions Microsoft takes Agent 365 out of preview as shadow AI becomes an enterprise threat The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next Salesforce Agentforce Operations fixes workflows breaking enterprise AI MCP command execution flaw: what security teams need to know The scaffolding era is over. LlamaIndex says context is the new moat xAI launches Grok 4.3 at an aggressively low price and a new, fast, powerful voice cloning suite Hidden IT problems are quietly creating risk, shadow IT, and lost productivity Alibaba's HDPO cuts AI agent tool overuse from 98% to 2% One tool call to rule them all? New open source Python tool Runpod Flash eliminates containers for faster AI dev Why OpenAI's 'goblin' problem matters — and how you can release the goblins on your own
npm supply chain: valid certificates, stolen accounts
Louis Columbus · 2026-05-23 · via VentureBeat

On May 19, 633 malicious npm package versions passed Sigstore provenance verification. They were cleared by the system because the attacker had generated valid signing certificates from a compromised maintainer account.

Sigstore worked exactly as designed: it verified the package was built in a CI environment, confirmed a valid certificate was issued, and recorded everything in the transparency log. What it cannot do is determine whether the person holding the credentials authorized the publish — and that gap turned the last automated trust signal in npm into camouflage.

One day earlier, StepSecurity documented an attack on the Nx Console VS Code extension, a widely used developer tool with more than 2.2 million lifetime installs. Version 18.95.0 was published using stolen credentials on May 18 and stayed live for under 40 minutes — but Nx internal telemetry showed approximately 6,000 activations during that window, most through auto-update, compared to just 28 official downloads. The payload harvested Claude Code configuration files, AWS keys, GitHub tokens, npm tokens, 1Password vault contents, and Kubernetes service account tokens.

The Mini Shai-Hulud campaign, attributed by multiple researchers to a financially motivated threat actor identified as TeamPCP, hit the npm registry at 01:39 UTC on May 19. Endor Labs detected the initial wave when two dormant packages, jest-canvas-mock and size-sensor, published new versions containing an obfuscated 498KB Bun script — neither had been updated in over three years, making a sudden version with raw GitHub commit hash dependencies a detection signal, but only if the tooling is watching.

By 02:06 UTC, the worm had propagated across the @antv data visualization ecosystem and dozens of unscoped packages, including echarts-for-react (~1.1 million weekly downloads). Socket raised the total to 639 compromised versions across 323 unique packages in this wave. Across the full campaign lifecycle, Socket has tracked 1,055 malicious versions across 502 packages spanning npm, PyPI, and Composer.

StepSecurity confirmed the payload contained full Sigstore integration. The attacker didn't just steal credentials; they could sign and publish downstream npm packages that carried valid provenance attestations.

These two incidents aren’t isolated. Research teams at Endor Labs, Socket, StepSecurity, Adversa AI, Johns Hopkins, Microsoft MSRC, and LayerX independently proved that the developer tool verification model is broken, and no vendor framework audits all of the attack surfaces that failed.

Seven attack surfaces failed in the 48 hours between May 18 and May 19 — npm provenance forgery, VS Code extension credential theft, MCP server auto-execution, CI/CD agent prompt injection, agent framework code execution, IDE credential storage exposure, and shadow AI data exposure — and the audit grid below maps each.

The verification model is broken across all four major AI coding CLIs

Adversa AI disclosed TrustFall on May 7, demonstrating that Claude Code, Gemini CLI, Cursor CLI, and Copilot CLI all auto-execute project-defined MCP servers the moment a developer accepts a folder trust prompt. All four default to “Yes” or “Trust.” One keypress spawns an unsandboxed process with the developer’s full privileges.

The MCP server runs with enough privilege to read stored secrets and source code from other projects. On CI runners using Claude Code’s GitHub Action in headless mode, the trust dialog never renders. The attack executes with zero human interaction.

Johns Hopkins researchers Aonan Guan, Zhengyu Liu, and Gavin Zhong published “Comment and Control,” proving that a malicious instruction in a GitHub pull request title caused Claude Code Security Review to post its own API key as a comment. The same attack worked on Google’s Gemini CLI Action and GitHub’s Copilot Agent. Anthropic rated the vulnerability CVSS 9.4 Critical through its HackerOne program.

Microsoft MSRC disclosed two critical Semantic Kernel vulnerabilities on May 7. One routes attacker-controlled vector store fields into a Python eval() call; the other exposes a host-side file download method as a callable kernel function — meaning one poisoned document in a vector store launches a process on the host.

LayerX security researchers separately demonstrated that Cursor stores API keys and session tokens in unprotected storage, meaning any browser extension can access developer credentials without elevated permissions.

The threat actors hunting these credentials doubled their operational tempo

The Verizon 2026 Data Breach Investigations Report, released May 19, found that 67% of employees access AI services from non-corporate accounts on corporate devices. Shadow AI is now the third most common non-malicious insider action in DLP datasets. Source code leads all data types submitted to unauthorized AI platforms — the same asset class the npm worm campaign targeted.

The CrowdStrike 2026 Financial Services Threat Landscape Report, released May 14, documents the adversaries actively hunting the credential types these attacks harvest.

STARDUST CHOLLIMA tripled its operational tempo against financial entities in Q4 2025. CrowdStrike documented the group using AI-generated recruiter personas on LinkedIn and Telegram, sending malicious coding challenges that looked like technical assessments, and running fake video calls with synthetic environments. The targets are GitHub PATs, npm tokens, AWS keys, and CI/CD secrets. The shadow AI exposure in grid row 7 is the door they walk through.

Developer Tool Stolen-Identity Audit Grid

No vendor framework currently scopes all seven surfaces. This grid maps each one to the research that exposed it, what your stack cannot see, and the audit action to take before the next vendor renewal.

Attack Surface

Disclosed By

What Verification Failed

What Your Stack Cannot See

Audit Action

1. npm provenance forgery

Endor Labs, Socket (May 19)

Sigstore certificates generated from stolen OIDC tokens pass automated verification

EDR and SAST do not validate whether the CI identity that signed a package authorized the publish

Require publish-time two-party approval for packages with more than 10,000 weekly downloads. Do not treat a green Sigstore badge as proof of legitimacy

2. VS Code extension credential theft

StepSecurity (May 18)

VS Code Marketplace accepted a malicious extension version published with a stolen contributor token

Extension auto-updates bypass endpoint detection. Marketplace window 12:30 to 12:48 UTC; overall exposure (including Open VSX) 12:30 to 13:09 UTC

Enforce minimum-age policies for extension updates. Pin critical extension versions. Audit all extensions with access to terminal or file system APIs

3. MCP server auto-execution

Adversa AI, TrustFall (May 7)

All four CLI trust dialogs default to “Yes/Trust” without enumerating which executables will spawn

EDR monitors process behavior, not what an LLM instructs an MCP server to do. WAF inspects HTTP payloads, not tool-call intent

Disable project-scoped MCP server auto-approval in Claude Code, Gemini CLI, Cursor CLI, and Copilot CLI. Block .mcp.json in CI pipelines unless explicitly allowlisted

4. CI/CD agent prompt injection

Johns Hopkins, Comment and Control (April 2026)

GitHub Actions workflows using pull_request_target inject secrets into runner environments that AI agents process as instructions

SIEM logs show an API call from a legitimate GitHub Action. The call itself is the attack. No anomalous network signature exists

Migrate AI code review workflows to pull_request trigger. Audit all workflows using pull_request_target with secret access for AI agent integrations

5. Agent framework code execution

Microsoft MSRC (May 7)

Semantic Kernel Python SDK routed vector store filter fields into eval(). .NET SDK exposed host file-write as a callable kernel function

Application firewalls inspect input payloads. They do not inspect how an orchestration framework parses those payloads internally

Update Semantic Kernel Python SDK to 1.39.4 and .NET SDK to 1.71.0. Audit all agent frameworks for functions tagged as model-callable that access host file system or shell

6. IDE credential storage exposure

LayerX (April 2026)

Cursor stores API keys and session tokens in unprotected storage accessible to any installed browser extension

DLP monitors data in transit. Cursor credentials at rest are invisible to DLP because no egress event occurs until the extension exfiltrates

Audit developer tools for credential storage practices. Require protected storage (OS keychain, encrypted credential stores) for all AI coding tool configurations

7. Shadow AI data exposure

Verizon 2026 DBIR (May 19)

67% of employees access AI services from non-corporate accounts on corporate devices. Source code is the leading data type submitted

CASB policies cover sanctioned SaaS. Non-corporate AI accounts on corporate devices operate outside CASB scope entirely

Deploy browser-layer AI governance that monitors non-corporate AI usage on corporate devices. Inventory AI browser extensions across the organization

Security director action plan

Security directors may want to run this grid against current vendor contracts before Q2 renewals close — asking each vendor which of the seven surfaces their product covers, and treating the non-answers as the gap map.

Any credential accessible from a developer machine or CI runner that installed affected npm packages between 01:39 and 02:18 UTC on May 19 should be considered compromised. That includes GitHub PATs, npm tokens, AWS access keys, Kubernetes service account tokens, HashiCorp Vault tokens, SSH keys, and 1Password vault contents.

AI coding agent integrations running in CI/CD pipelines with pull_request_target workflows deserve a close look. Each one is a prompt injection surface that processes PR comments as agent instructions.

Procurement teams evaluating AI coding tools should consider adding a stolen-identity resistance dimension to vendor assessments. The question worth asking: can the vendor demonstrate how their tool distinguishes a legitimate maintainer publish from an attacker using compromised credentials? If they cannot, the tool is not a verification layer.

The developer tool supply chain has the same problem IAM had a decade ago: credentials prove who you claim to be, not who you are. IAM got a 10-year head start on compensating controls before nation-state groups turned credential theft into an industrial operation. The AI coding tool ecosystem is starting that clock now.