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Malicious package

dstillPyPI

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

MAL-2026-5345
Immediate action
Remove the package, then rotate any secrets the build/runtime could reach.
pip uninstall dstill

What this malware does

On import spaysdata, init.py invokes main_entry() which executes a multi-stage Windows infostealer with no relation to the package's advertised purpose (a 'Roblox DataStore' library). Behaviors: (1) reads %USERPROFILE%\AppData\Local\Roblox\LocalStorage\robloxcookies.dat, decrypts via CryptUnprotectData, and POSTs the plaintext cookies to a hardcoded Discord webhook (discord.com/api/webhooks/1513807955340820602/...) and a Google Apps Script endpoint (script.google.com/macros/s/AKfycbwa8sLEdsG_leFVecuc.../exec); (2) kills Discord processes via taskkill /f /im Discord.exe, then enumerates Discord/Discord Canary/PTB/Lightcord and ~20 Chromium browsers (Chrome, Edge, Brave, Yandex, Opera, Vivaldi,...) plus Firefox profiles, AES-GCM-decrypts tokens with each browser's DPAPI master key, validates them against the Discord API, and exfiltrates working tokens to the same endpoints; (3) installs persistence by copying itself to %LOCALAPPDATA%\MicrosoftSecurityWorker\WindowsSecurity.{pyw,exe}, registers that directory as a Windows Defender ExclusionPath via PowerShell Add-MpPreference, and creates a schtasks /sc onlogon /rl highest task named 'WindowsSecurityUpdate' to run at every logon. The Microsoft-lookalike paths/names are explicit AV evasion. Russian/Ukrainian comments in the source acknowledge the stealth and anti-AV intent. The pyproject description in Russian ('Библиотека для работы с DataStore в Roblox') is a lure targeting Roblox developers.

The package exfiltrates Roblox cookies from the victim machine.

Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.

Campaign: 2026-06-spaysrbdata

Reasons (based on the campaign):

  • infostealer

Malicious versions

1 flagged
0.3.0

Indicators of compromise (SHA-256)

09fdc0fbdc8b1ba29a63f2807ec9c9af6dd1079a5ac6fa99c88b54df9bd22a0b
698645f1cbbe41dbe7b65f3cf373ed38f59cb59ca9cc0bb25bd9d175114f1762
4813bbeca5498693b44caa531195a9b29c9cdb89b377a8ea36a4bb14b9951ca0

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 dstill (version 0.3.0). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging dstill across your stack and pipelines.

  2. If you installed it — respond

    dstill 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 dstill 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 dstill 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. dstill on PyPI has been identified as a malicious package (version 0.3.0 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-06-spaysrbdataIN-MAL-2026-005343

References

Credits

  • Amazon Inspector · finder
  • Kamil Mańkowski (kam193) · reporter

Detect & block this

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