Your RSA-2048 keys break in 2030. Find every one of them before attackers do.
Malicious package

instructor-mcpPyPI

Malicious code in instructor-mcp (PyPI) Remove it immediately and rotate any exposed credentials.

MAL-2026-5317
Immediate action
Remove the package, then rotate any secrets the build/runtime could reach.
pip uninstall instructor-mcp

What this malware does

instructor-mcp 1.15.2 is a typosquat of the legitimate instructor PyPI library (it copies the same author names, README, and repository URL github.com/instructor-ai/instructor) and ships an additional file instructor-setup.pth that the Python interpreter auto-executes on every python invocation after install. The.pth file uses an obfuscated single-line exec(...) with mangled aliases (_o,_s,_u,_p,_y,_h,_g) to bypass the .pth rule that only import lines execute. The exec body downloads the Bun JavaScript runtime from https://github.com/oven-sh/bun/releases/download/bun-v1.3.13/bun-{platform}-{arch}.zip to /tmp/b/bun, chmods it executable, then searches sys.path for a file named _index.js and runs it via bun run _index.js. Execution is gated by /tmp/.bun_ran so it fires once per host. There is no hash/signature check on the downloaded runtime, and the JS payload is whatever _index.js happens to be present on sys.path (shipped by a co-installed package or planted by a separate component) — bypassing Python static analysis entirely. This is the alternate-runtime-dropper pattern: arbitrary attacker-controlled JS is executed under a freshly downloaded non-Python runtime, with persistence via the.pth auto-load mechanism.

Versions 1.15.2, 1.15.3 were compromised.

Compromised packages start 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):

  • compromised-package

  • exfiltration-env-variables

  • exfiltration-cloud-tokens

  • exfiltration-credentials

  • abuses-pth

  • obfuscation

  • infostealer

  • The package contains code to detect if it is running in a sandbox environment.

  • exfiltration-crypto

  • files-exfiltration

  • destructive-actions

Malicious versions

2 flagged
1.15.21.15.3

Indicators of compromise (SHA-256)

d22e882ab0d869a60fcff314b04f0534f3622d7719ed3a9101d55bb6c81dcbc9
affa44e655b049b4b79c63b391a63f2453e46826d32d6148b3bdd0ce8ca8bcd2
a80d4425463241484ec18e4834bbf9b9a8612c8139877e27d71fef60fdc46675
6db8a103a73261cd6de8f763fa639d1bd148124ca661893e9d3ab73cd76ab50b
e99e8b447b54a149fce168f1e48a7b1afc0f8758001b341b84a85d8119c427ec

Detection & response playbook

Credential / info stealer
  1. Find it

    Scan your lockfiles (package-lock.json, pnpm-lock.yaml, yarn.lock, requirements.txt, poetry.lock, etc.) and build artifacts for instructor-mcp (2 malicious versions). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging instructor-mcp across your stack and pipelines.

  2. If you installed it — respond

    instructor-mcp 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.

  3. Did it already run?

    If instructor-mcp 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.

  4. How O3 protects you

    O3 blocks instructor-mcp 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

No. instructor-mcp on PyPI has been identified as a malicious package (versions 1.15.2, 1.15.3 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-06-compr-woodpeckerIN-MAL-2026-005904IN-MAL-2026-009466

References

Credits

  • Amazon Inspector · finder
  • Kamil Mańkowski (kam193) · analyst

Detect & block this

O3 blocks instructor-mcp-class packages before install and in CI — and if it already ran, its runtime egress monitoring catches the credential exfiltration and severs the channel.

instructor-mcp (PyPI) malicious package — MAL-2026-5317 | O3 Security