Which versions of apply-hive-table are malicious?

The following PyPI versions of apply-hive-table are flagged malicious: 3.1.4, 3.1.5. Treat any of these as compromised.

How do I remediate apply-hive-table if I installed it?

apply-hive-table 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 apply-hive-table — how do I know if it already compromised me?

If apply-hive-table 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 apply-hive-table part of a known attack campaign?

Yes — apply-hive-table is associated with the 2026-02-urllib-slim 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 apply-hive-table across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for apply-hive-table (2 malicious versions).

Part of a larger attack: 2026-02-urllib-slim published 10 malicious packages. See the full campaign →

Malicious package

apply-hive-tablePyPI

Advisory published Mar 23, 2026Updated Mar 23, 2026

apply-hive-table is a confirmed malicious PyPI package (MAL-2026-2112) that steals credentials and exfiltrates sensitive data (malicious versions 3.1.4, 3.1.5). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in apply-hive-table (PyPI)

MAL-2026-2112

Immediate action

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

pip uninstall apply-hive-table

What this malware does

In specific environments, during installation, the package attempts to exfiltrate some basic information using DNS requests and then cover tracks by installing a similarly named package from the local private repository

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

Campaign: 2026-02-urllib-slim

Reasons (based on the campaign):

typosquatting
Downloads and executes a remote executable.
obfuscation
dependency-confusion

Malicious versions

2 flagged

3.1.43.1.5

Indicators of compromise (SHA-256)

cd10a24231fb7b6830827a26ee11d450938fce94e811f0c233c6a63a8e3c98d9

e7b05867320d1142c959aa2d1ce4a6cf7fcef12cdb7620cbede9b145204da4f4

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for apply-hive-table (2 malicious versions).
If you installed it — respond
apply-hive-table 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 apply-hive-table 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. apply-hive-table on PyPI has been identified as a malicious package (versions 3.1.4, 3.1.5 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-02-urllib-slim

References

Credits

Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks apply-hive-table-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