Your RSA-2048 keys break in 2030. Find every one of them before attackers do.
Malicious package

selfnvidiacandyPyPI

Malicious code in selfnvidiacandy (PyPI) Remove it immediately and rotate any exposed credentials.

MAL-2023-6348
Immediate action
Remove the package, then rotate any secrets the build/runtime could reach.
pip uninstall selfnvidiacandy

What this malware does

EsqueleSquad group published nearly 6000 malicious PyPi and NPM packages, executing spyware and information-stealing malware

Malicious versions

all versions

Every published version of this package is considered malicious — remove it entirely.

Indicators of compromise (SHA-256)

dce027486266c040e6ef0db9072276c29c3107d39311de58a9305be60bfa51ba

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 selfnvidiacandy (all published versions). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging selfnvidiacandy across your stack and pipelines.

  2. If you installed it — respond

    selfnvidiacandy 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 selfnvidiacandy 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 selfnvidiacandy 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. selfnvidiacandy on PyPI has been identified as a malicious package (all published versions flagged). It should be removed immediately — do not install or keep it in your dependency tree.

References

Credits

  • Checkmarx · finder

Detect & block this

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

selfnvidiacandy (PyPI) malicious package — MAL-2023-6348 | O3 Security