Which versions of tableapys are malicious?

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

How do I remediate tableapys if I installed it?

tableapys 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 tableapys — how do I know if it already compromised me?

If tableapys 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 tableapys part of a known attack campaign?

Yes — tableapys 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 tableapys across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for tableapys (2 malicious versions).

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

Malicious package

tableapysPyPI

Advisory published Feb 3, 2026Updated Oct 30, 2026

tableapys is a confirmed malicious PyPI package (MAL-2026-686) that steals credentials and exfiltrates sensitive data (malicious versions 1.0.1, 1.0.2). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in tableapys (PyPI)

MAL-2026-686

Immediate action

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

pip uninstall tableapys

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

2 flagged

1.0.11.0.2

Indicators of compromise (SHA-256)

2aff2faef3705b6233a6df3d6b39f4f9b88ff522aa7c343cd8d36eb1a40405d6

00d8d6a2fd4bace6ebfa74bf4183560d559e529aa4b26d87af7e8c58bbd95396

c75062785285b61734acfed9313383e8bd8101bf7399b7246fd2d24100419ddb

2e7534022dd3c41f95613817579c0c55795164e4b148a00c79a6580ed8968506

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for tableapys (2 malicious versions).
If you installed it — respond
tableapys 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 tableapys 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. tableapys on PyPI has been identified as a malicious package (versions 1.0.1, 1.0.2 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) · reporter

Detect & block this

O3 blocks tableapys-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