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Malicious package

@storylane/uikitnpm

Malicious code in @storylane/uikit (npm) Remove it immediately and rotate any exposed credentials.

MAL-2026-1501
Immediate action
Remove the package, then rotate any secrets the build/runtime could reach.
npm uninstall @storylane/uikit

What this malware does

The package '@storylane/uikit' is part of the PhantomRaven supply chain attack campaign (Wave 2). It uses a Remote Dynamic Dependency (RDD) technique: the published package appears benign but includes a URL-based dependency in package.json pointing to an attacker-controlled C2 server (npm.jpartifacts.com). During npm install, npm automatically fetches a malicious tarball from the C2. The tarball preinstall hook executes a 259-line payload that harvests developer emails from .gitconfig, .npmrc, and environment variables; collects CI/CD tokens from GitHub Actions, GitLab CI, Jenkins, and CircleCI; fingerprints the host system; and exfiltrates all data to http://npm.jpartifacts.com/jpd.php via redundant HTTP GET, POST, and WebSocket channels with no visible terminal output. The campaign was first disclosed by Koi Security in October 2025 (Wave 1) and extended across Waves 2-4 between November 2025 and February 2026. Full analysis: https://www.endorlabs.com/learn/return-of-phantomraven

Any developer or CI/CD system that installed this package should be considered compromised. All secrets, tokens, and credentials accessible from that environment should be rotated immediately from a separate, unaffected machine.

The package @storylane/uikit was found to contain malicious code.

Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outside entity, there is no guarantee that removing the package will remove all malicious software resulting from installing it.

Malicious versions

1 flagged
1.18.26

Indicators of compromise (SHA-256)

0f23dc1e93ce07a53482bce0d7f8f6d8237bbd4381210898b94cf5b3b41e7cd5
aec258211eb7c253bbaf4725ff5a2b4fe957e0290d3fc0436ea66933633b5b0b

Detection & response playbook

Credential / info stealer
  1. Find it

    Scan your lockfiles (package-lock.json, pnpm-lock.yaml, yarn.lock, requirements.txt, poetry.lock, etc.) and build artifacts for @storylane/uikit (version 1.18.26). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging @storylane/uikit across your stack and pipelines.

  2. If you installed it — respond

    @storylane/uikit is built to steal secrets, so assume every credential the build or runtime could read is compromised. Remove it from your project and lockfile, then rotate ALL exposed secrets — npm/registry tokens, cloud keys, CI/CD secrets, SSH keys, and any .env values — from a known-clean machine. Audit logs for unauthorized use of those credentials.

  3. Did it already run?

    If @storylane/uikit was ever installed, its post-install/runtime payload may have already executed. O3's L7 egress monitoring and runtime eBPF sensors detect the credential exfiltration or command-and-control callback after install and block the malicious outbound channel, so you catch and contain the actual compromise — not just the presence of the package.

  4. How O3 protects you

    O3 blocks @storylane/uikit before install through its supply-chain scanner, and if it has already run, detects and severs the exfiltration or C2 callback at runtime through L7 egress monitoring and eBPF.

Frequently asked questions

No. @storylane/uikit on npm has been identified as a malicious package (version 1.18.26 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

GHSA-m2gh-pw4c-p8f6

References

Credits

  • Amazon Inspector · finder

Detect & block this

O3 blocks @storylane/uikit-class packages before install and in CI — and if it already ran, its runtime egress monitoring catches the credential exfiltration and severs the channel.