spellcheckerpyPyPI
Advisory published Updated
spellcheckerpy is a confirmed malicious PyPI package (MAL-2026-375) that steals credentials and exfiltrates sensitive data (malicious versions 1.0.0, 1.1.0, 1.3.0). Do not install it — remove it immediately and rotate any exposed credentials.
Malicious code in spellcheckerpy (PyPI)
What this malware does
Packages contain hidden code that is effectively run during importing or using the library, and downloads second stage code. Then, a process running in background periodically connects to a remote host and waits for the next code to execute.
The malicious code was in version 1.3.0, but the package itself was clearly uploaded with malclious intentions.
Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.
Campaign: 2025-11-spellcheckers
Reasons (based on the campaign):
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obfuscation
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Downloads and executes a remote malicious script.
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The package contains code to execute remote commands (probably limited to a specific set) on the victim's machine.
Malicious versions
Indicators of compromise (SHA-256)
Detection & response playbook
Credential / info stealerFind it
Search your lockfiles and build artifacts for spellcheckerpy (3 malicious versions).
If you installed it — respond
spellcheckerpy 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.
Did it already run?
If spellcheckerpy was installed, its post-install payload may already have run. Removing the package does not undo that — check outbound connections and credential use from the install window onward.
Frequently asked questions
Campaign
References
Credits
- Kamil Mańkowski (kam193) · reporter
Detect & block this
O3 blocks spellcheckerpy-class packages before install and in CI — and if it already ran, its runtime egress monitoring catches the credential exfiltration and severs the channel.