Malicious code in nhmpy (PyPI)
--- _-= 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 <[email protected]>', 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
AI Analysis
Technical 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.
Potential 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.
Mitigation Recommendations
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. No official patch or fix exists for this malicious package; remediation relies on removal and credential management.
Malicious code in nhmpy (PyPI)
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 <[email protected]>', 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
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
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.
Potential 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.
Mitigation Recommendations
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. No official patch or fix exists for this malicious package; remediation relies on removal and credential management.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-5302
- Osv Schema Version
- 1.7.4
- Aliases
- []
- Ecosystems
- ["PyPI"]
- Database Specific Severity
- null
- Cvss Version
- null
Threat ID: 6a4f6c3968715ace431588d9
Added to database: 07/09/2026, 09:39:05 UTC
Last enriched: 07/09/2026, 09:52:39 UTC
Last updated: 07/29/2026, 18:25:36 UTC
Views: 9
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