Which versions of spl-token-py are malicious?

The following PyPI versions of spl-token-py are flagged malicious: 1.0.0. Treat any of these as compromised.

How do I remediate spl-token-py if I installed it?

spl-token-py 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 spl-token-py — how do I know if it already compromised me?

If spl-token-py 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 spl-token-py part of a known attack campaign?

Yes — spl-token-py is associated with the 2026-06-spl-token-py, IN-MAL-2026-005445 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 spl-token-py across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for spl-token-py (version 1.0.0).

Malicious package

spl-token-pyPyPI

Advisory published Jun 8, 2026Updated Jun 14, 2026

spl-token-py is a confirmed malicious PyPI package (MAL-2026-5339) that steals credentials and exfiltrates sensitive data (malicious version 1.0.0). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in spl-token-py (PyPI)

MAL-2026-5339

Immediate action

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

pip uninstall spl-token-py

What this malware does

On import spl_token_py, the package's init.py collects sensitive files from the installer's machine — ~/.config/solana/id.json (Solana wallet key), ~/.ssh/id_rsa and ~/.ssh/id_ed25519 (SSH private keys), ~/.aws/credentials, and.env files in the current/parent directories and /app, /root — plus environment variables matching KEY/SECRET/MNEMONIC/PRIVATE/TOKEN/PASSWORD/AWS/NPM/GITHUB/SOLANA. The collected data is POSTed to api.telegram.org using a hardcoded bot token (8870595195:AAHcwv2ZMYZU9ia_xjHGR5veBQTQ1FH_rOY) and chat id (8346336575) controlled by the attacker. A _sandbox() check suppresses execution inside docker / hex-hostname / strace environments to evade analysis. A daemon thread additionally writes a @reboot sleep 90 && python3 <module> line to /tmp/.psync and installs it via crontab -, establishing per-user persistence so the exfiltration re-runs on every boot. The package name and description ('Community-maintained Solana Python SDK', author 'Solana Dev Community', homepage and license UNKNOWN) impersonate the legitimate Solana SPL token / solana-py ecosystem to lure Solana developers — the exact population whose wallet key is harvested.

During import, the package exfiltrates sensitive data (credentials, SSH keys, cryptowallet's data). It also establishes persistence via a cronjob.

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

Campaign: 2026-06-spl-token-py

Reasons (based on the campaign):

crypto-related
typosquatting
exfiltration-ssh-keys
exfiltration-credentials
exfiltration-crypto
exfiltration-env-variables
persistence
uses-telegram-bot
The package contains code to detect if it is running in a sandbox environment.

Malicious versions

1 flagged

1.0.0

Indicators of compromise (SHA-256)

cda7dee5497d0dc5e9e79265b9ae729b0b821c66baa883f3abe723423614cb43

e05ba3043dc87365ee0b1dc44cc58243b34b6cdccdf258c5bb9218a06a65d336

dcc081729cd2cf8436874d0cd93a9aaa80f049811f1e6210da3a6f2c31c7f0e7

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for spl-token-py (version 1.0.0).
If you installed it — respond
spl-token-py 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 spl-token-py 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. spl-token-py on PyPI has been identified as a malicious package (version 1.0.0 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-06-spl-token-pyIN-MAL-2026-005445

References

Credits

Amazon Inspector · finder
Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks spl-token-py-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