MalwarePublished 8 Jun 2026Updated 9 Jul 2026

nhmpy (PyPI) · Malicious Code

Affects nhmpySource GCVE Database

Malicious package : remove nhmpy and rotate any secrets on hosts that installed it.

Data as of 11 Jul 2026, 09:43 UTC

Classification

Malicious package

Published to PyPI · OSV MAL-2026-5302

What to do

Remove nhmpy from every project, lockfile and image that pulls it in. Treat any host that installed it as compromised: rotate the credentials, tokens and keys it could read, from a clean machine.

Affected software

Product	Affected	Fixed in
PyPInhmpy	Affected =2.4.6 =2.4.7	Fixed in–

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Description

--- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (34db1950ee9bdf9c75ae9bb2436085bbb443107321d8d7056a0bf3b8fae36978) The package is published as 'nhmpy' on PyPI but its contents are a verbatim copy of NumPy 2.4.6: the same source tree, docstrings, and license files. The distribution metadata falsely identifies the package as authored by 'Travis E. Oliphant et al.' and maintained by 'NumPy Developers <numpy-discussion@python.org>', with Project-URL pointing at https://numpy.org. Internal modules still import from the real 'numpy' namespace (e.g., nhmpy/__init__.py line 788: `from numpy._pytesttester import PytestTester`), so the package masquerades as numpy and depends on numpy being installed alongside it. The current 2.4.6 contents do not execute install scripts, perform network I/O at import, or contain obfuscated code — there is no active exfiltration or RCE payload in this version. However, the name is a one-character edit from 'numpy' (a top-tier PyPI package) and the metadata is deliberately deceptive about authorship, which is the precondition for a future malicious release under the same name. Routing for human review of the name-confusion claim and possible registry takedown. ## Source: kam193 (0b2d6b794431c52ef6b905eb676d70274a792cbca1b266a3405734a7a900860b) 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): - 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

Impact

Users who install the 'nhmpy' package risk having sensitive credentials and secrets exfiltrated, including API keys, cloud tokens, password manager data, and cryptocurrency assets. The infostealer can also attempt to maintain persistence and spread by publishing additional infected packages using stolen credentials. There is a potential for destructive actions such as data wiping if certain conditions are met. This compromises the confidentiality and integrity of affected systems and credentials. The deceptive naming and metadata increase the risk of accidental installation by users expecting the legitimate 'numpy' package.

Defensive guidance

Users should avoid installing the 'nhmpy' package and verify package names carefully before installation to prevent typosquatting attacks. Since this is a malicious package published from a compromised account, the PyPI registry maintainers should be contacted to remove the package and prevent further distribution. Users who have installed 'nhmpy' should perform a thorough security audit of their environment, including credential rotation and malware scanning. Cleanup should be done cautiously due to the potential destructive payload.

Summary

The 'nhmpy' package is a malicious typosquatting package on PyPI that mimics the legitimate 'numpy' package by copying its source code and metadata to deceive users. Although the initial 2.4.6 version does not execute malicious code, subsequent analysis revealed that the package was published from a compromised account and contains a heavily obfuscated JavaScript infostealer executed via the Bun runtime on Python startup. This infostealer harvests a wide range of sensitive information including environment variables, cloud tokens, credentials, cryptocurrency assets, and password manager data. It also attempts to maintain persistence, propagate by publishing infected packages using stolen credentials, and exfiltrates data likely through GitHub. The code includes sandbox detection and may perform destructive actions such as wiping user data if invalid GitHub tokens are detected. This campaign is associated with the Mini Shai Hulud threat actor group and represents a high-risk supply chain attack vector.

References

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What to do

Affected software

Description

AI analysisMachine-generated, updated 9 Jul 2026, 09:52 UTC

Technical details

References

Community reviews