Which versions of astlsi are malicious?

The following PyPI versions of astlsi are flagged malicious: 0.1.0. Treat any of these as compromised.

How do I remediate astlsi if I installed it?

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

If astlsi 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 astlsi part of a known attack campaign?

Yes — astlsi is associated with the 2026-09-asti, IN-MAL-2026-019645 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 astlsi across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for astlsi (version 0.1.0).

Malicious package

astlsiPyPI

Advisory published Sep 4, 2026Updated Sep 4, 2026

astlsi is a confirmed malicious PyPI package (MAL-2026-15926) that steals credentials and exfiltrates sensitive data (malicious version 0.1.0). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in astlsi (PyPI)

MAL-2026-15926

Immediate action

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

pip uninstall astlsi

What this malware does

The package presents itself as a proxy health-check utility, but its exported starts() function walks /storage/emulated/0/ (Android user-storage), collects files with source/document extensions (.py,.json,.txt,.html,.php), packs them into a zip archive, and POSTs the archive to https://tapi.bale.ai/<bot-token>/sendDocument with chat_id 5263487757. The Bale bot token and chat id are hardcoded in the module. The proxy-latency scaffolding around this call performs no real proxy check and serves as a cover story for the single exfiltration request.

The provided functionality hides code that exfiltrates files to a remote location.

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

Campaign: 2026-09-asti

Reasons (based on the campaign):

files-exfiltration
action-hidden-in-lib-usage
target:android

Malicious versions

1 flagged

0.1.0

Indicators of compromise (SHA-256)

902508cd9285413782c405b438e21f1f29787d38aba7badf71aeb4e0b632b9b6

222a62d677f99497f67476b9cc87886c05fb2a08827430934fb518798abb8339

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for astlsi (version 0.1.0).
If you installed it — respond
astlsi 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 astlsi 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. astlsi on PyPI has been identified as a malicious package (version 0.1.0 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-09-astiIN-MAL-2026-019645

References

Credits

Amazon Inspector · finder
Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks astlsi-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