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Your AI Agent Is Only as Safe as the Packages It Downloads

An AI coding agent can bring package risk into a workstation or build. Verify package identity, review install and CI changes, and control dependency sources.
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An AI coding agent that can install packages and run commands can expose the development environment or build process to risks hidden in those packages. That does not mean every AI agent is only as safe as one dependency; it means package selection and installation deserve the same scrutiny as the agent’s code changes.

Why package downloads change the risk

Coding agents may install dependencies, edit project files, run tests and execute shell commands. OWASP’s Secure Coding with AI Cheat Sheet warns against blindly installing package names suggested by an AI. A suggested name might be nonexistent, mistyped or an impersonation of a legitimate project.

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The risk is not limited to what a package does after an application starts. Package installation can run scripts, including pre-install scripts. If malicious code executes in a developer workstation or build server, it may be able to access credentials or support further movement through connected systems. OWASP describes these risks in its CICD-SEC-3: Dependency Chain Abuse guidance.

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The agent is one route by which a dependency enters a workflow; the package and the permissions of the environment where it runs determine much of the potential impact. Treat an AI-proposed dependency as an unverified change, not as a trusted recommendation.

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How package supply-chain attacks can appear

  • Hallucinated or incorrect names: a model may suggest a package that does not exist or give the wrong name for the intended library. An attacker may register a similar name.
  • Typosquatting and brandjacking: a malicious package can imitate a legitimate project or recognizable name closely enough to be mistaken for it.
  • Dependency confusion: a package manager or configuration may resolve a public package where a private or internal package was intended.
  • Dependency hijacking: an attacker may take over or compromise a package, account or other point in its distribution chain.

These are distinct routes to a compromised or unintended dependency, not proof that a particular package is unsafe. OWASP’s dependency-chain guidance discusses these attack types and the possibility of code running during installation.

Check a package before allowing the agent to install it

  1. Confirm the exact identity. Check that the package exists in the expected registry and that its name and publisher correspond to the project you intend to use. Do not rely on the agent’s explanation or a close name match.
  2. Review the package’s history. Look at its registry page, maintainer history, creation date and download activity. Treat these as clues for review, not proof of safety: popularity or age alone cannot establish that a package is trustworthy.
  3. Inspect the proposed dependency change. Review the manifest and lockfile changes, including the selected version and any new transitive dependencies. Pin dependencies to versions the team has reviewed, then update them through the normal dependency-management process.
  4. Examine code that runs around installation or builds. Give heightened scrutiny to install scripts, build configuration and CI workflow changes, especially if they add shell commands, network access or access to secrets.
  5. Use organizational controls where appropriate. Teams can maintain an approved-package allowlist and apply package-age checks when those controls fit their risk and workflow. These reduce exposure to unreviewed additions but do not replace package and change review.

OWASP’s secure-coding guidance recommends verifying AI-suggested packages, pinning reviewed versions, and reviewing installation and build changes rather than accepting them automatically.

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Control where dependencies come from

For teams that can support it, an internal package proxy provides a controlled route for retrieving third-party dependencies. OWASP’s dependency-chain guidance recommends avoiding direct downloads from untrusted sources. Restricting direct registry access and routing retrieval through an approved proxy can make source control more consistent; it does not by itself certify every package served through that route.

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Review controls should cover the whole path from a proposed dependency to its use in builds and CI. A package that passes a name check can still be compromised, and a legitimate dependency can still introduce risky scripts or changes. Keep dependency updates and installation behavior visible in code review.

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Account for MCP components and package behavior

Packages are one part of the broader AI supply chain. OWASP’s LLM03:2025 Supply Chain also addresses third-party models, data and model adaptations. Its separate MCP04:2025 – Software Supply Chain Attacks & Dependency Tampering covers supply-chain risks in MCP ecosystems. For MCP servers and plugins, track provenance, monitor dependencies and verify signed components where signatures are available.

Package analysis can also examine files a package accesses, network destinations it contacts and commands it runs, then track behavioral changes over time. OpenSSF describes these capabilities in Package Analysis. Such analysis can provide useful signals for review; it is not a guarantee that harmful behavior will be detected or that a package is safe.

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A practical review policy for AI-assisted development

  • Require human verification of every new AI-suggested dependency before installation.
  • Use reviewed, pinned versions and the team’s ordinary dependency-update process.
  • Route downloads through an internal proxy when feasible, and control direct registry access.
  • Review install scripts, build files, CI workflows and any added shell or network activity.
  • Apply allowlists, package-age checks, behavioral analysis and MCP provenance checks where they fit the organization’s threat model.

These measures address different points in the chain: package identity and version, retrieval source, install and build execution, component provenance, and behavior after introduction. NIST’s Software Security in Supply Chains: Guidance, Purpose, Scope, and Audience provides broader supply-chain context for organizations building their own controls.

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