tlaskPyPI
Malicious code in tlask (PyPI) Remove it immediately and rotate any exposed credentials.
What this malware does
The package is published as 'tlask', a single-character edit of the widely used 'flask' package on PyPI. Metadata and module contents are copied verbatim from Pallets' Flask: METADATA Summary reads 'A simple framework for building complex web applications.', Project-URLs point to flask.palletsprojects.com and github.com/pallets/flask, and entry_points.txt declares 'flask=flask.cli:main'. The source files under tlask/ match Flask's own modules. No installer-harmful payload was identified — no network I/O, no exec/eval, no install or import-time hooks, no credential reads, and no lifecycle scripts that would execute attacker-controlled code on pip install. The risk is name-confusion: a developer who types pip install tlask rather than pip install flask receives a near-identical Flask clone they did not intentionally select, and the entry_points.txt also installs a flask console script that could shadow the real Flask CLI in some environments. Because the package contains no exfiltration, dropper, silent-relay, or credential-distribution behavior, naming-similarity alone is a subjective signal that warrants human review rather than an automatic block.
Typosquatting package published from a compromised account with an obfuscated infostealer. The infostealer is a heavily obfuscated JavaScript code executed using Bun runtime on Python startup. It collectes all kinds of sensitive data, including API keys, credentials to package repositories, cryptocurrency assets, password manager data. Infostealer actively queries online services to collect additional secrets as well as attempts to gain persistence and spread further by publishing infected packages using collected credentials. Data are exfiltrated likely using Github. The code seems to threaten to wipe the user's data if it detects invalid GitHub tokens. Cleanup should be done with caution.
It seems to be related to the recent Mini Shai Hulud campaign.
Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.
Campaign: 2026-06-compr-woodpecker
Reasons (based on the campaign):
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compromised-package
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exfiltration-env-variables
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exfiltration-cloud-tokens
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exfiltration-credentials
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abuses-pth
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obfuscation
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infostealer
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The package contains code to detect if it is running in a sandbox environment.
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exfiltration-crypto
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files-exfiltration
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destructive-actions
Malicious versions
Indicators of compromise (SHA-256)
Detection & response playbook
Credential / info stealerFind it
Scan your lockfiles (package-lock.json, pnpm-lock.yaml, yarn.lock, requirements.txt, poetry.lock, etc.) and build artifacts for tlask (2 malicious versions). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging tlask across your stack and pipelines.
If you installed it — respond
tlask 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 tlask was ever installed, its post-install/runtime payload may have already executed. O3's L7 egress monitoring and runtime eBPF sensors detect the credential exfiltration or command-and-control callback after install and block the malicious outbound channel, so you catch and contain the actual compromise — not just the presence of the package.
How O3 protects you
O3 blocks tlask before install through its supply-chain scanner, and if it has already run, detects and severs the exfiltration or C2 callback at runtime through L7 egress monitoring and eBPF.
Frequently asked questions
Campaign
References
Credits
- Amazon Inspector · finder
- Kamil Mańkowski (kam193) · reporter
Detect & block this
O3 blocks tlask-class packages before install and in CI — and if it already ran, its runtime egress monitoring catches the credential exfiltration and severs the channel.