Which versions of tabletas are malicious?

The following PyPI versions of tabletas are flagged malicious: 1.0.1, 1.0.2, 1.0.4. Treat any of these as compromised.

How do I remediate tabletas if I installed it?

tabletas 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.

I already installed tabletas — how do I know if it already compromised me?

If tabletas 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.

Is tabletas part of a known attack campaign?

Yes — tabletas is associated with the 2025-11-spellcheckers campaign. Packages in the same campaign often share infrastructure and payloads, so check whether any related packages are also in your dependency tree.

How do I find tabletas across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for tabletas (3 malicious versions).

Part of a larger attack: 2025-11-spellcheckers published 28 malicious packages. See the full campaign →

Malicious package

tabletasPyPI

Advisory published Jan 27, 2026Updated Oct 30, 2026

tabletas is a confirmed malicious PyPI package (MAL-2026-548) that steals credentials and exfiltrates sensitive data (malicious versions 1.0.1, 1.0.2, 1.0.4). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in tabletas (PyPI)

MAL-2026-548

Immediate action

Remove the package, then rotate any secrets the build/runtime could reach.

pip uninstall tabletas

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 next code to execute

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

Campaign: 2025-11-spellcheckers

Reasons (based on the campaign):

obfuscation
Downloads and executes a remote malicious script.
The package contains code to execute remote commands (probably limited to a specific set) on the victim's machine.

Malicious versions

3 flagged

1.0.11.0.21.0.4

Indicators of compromise (SHA-256)

27d102f1cf4d0e6b08e5e77aa57a2a436a49f782fe6571b2a8e8d114e10d968d

7a951471a110d0da02467f65dd6006e432c158dbed2c361dce5962883344c7e6

4c5454bc9d2190cfd48fc058d040f2a91cfdfecbae32a8c0a04efe68aff7692b

47359dd48e82e250ae39ebf64e8b61df726ea725b4d0095c330264e360748f2d

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for tabletas (3 malicious versions).
If you installed it — respond
tabletas 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 tabletas 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

No. tabletas on PyPI has been identified as a malicious package (versions 1.0.1, 1.0.2, 1.0.4 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2025-11-spellcheckers

References

Credits

Kamil Mańkowski (kam193) · analyst

Detect & block this

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

Malware detection Runtime egress monitoring

Explore

All malware advisories How O3 detects malware Vulnerability database