Malicious code in magique (PyPI)
--- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (b441b436c1f6aeba65c2af68c71655ed5aac95b0eb2ae4c402fc090c475ba887) The package was found to contain malicious code or consuming dependency that contains malicious code ## Source: kam193 (f5d3bf9e3bbd5c258d251ade5a15f3383a47a53ddd399d7cd3db2aee5cec45c4) Versions 0.6.8, 0.6.9 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
AI Analysis
Technical Summary
The 'magique' PyPI package versions 0.6.8 and 0.6.9 were compromised to include an obfuscated JavaScript infostealer executed with the Bun runtime at Python startup. This malware collects a wide range of sensitive information such as environment variables, cloud tokens, credentials, and cryptocurrency data. It actively queries online services to gather additional secrets and attempts to maintain persistence and spread by publishing infected packages using stolen credentials. Data exfiltration is likely conducted via GitHub. The malicious code also includes destructive capabilities, threatening to wipe user data if invalid GitHub tokens are detected. The campaign is associated with the Mini Shai Hulud threat actor group and employs sandbox evasion techniques.
Potential Impact
Users of 'magique' versions 0.6.8 and 0.6.9 risk exposure of sensitive information including API keys, credentials for package repositories, cryptocurrency assets, and password manager data. The malware's persistence and propagation mechanisms increase the risk of further infections and supply chain compromise. Data exfiltration through GitHub can lead to widespread credential leakage. The destructive payload may result in data loss if triggered. Overall, this represents a significant compromise of confidentiality, integrity, and availability for affected users.
Mitigation Recommendations
No official patch or remediation is currently documented. Users should immediately discontinue use of 'magique' versions 0.6.8 and 0.6.9. Conduct thorough system and environment scans for the presence of the malicious code and related artifacts. Exercise extreme caution during cleanup due to the destructive potential of the malware. Review and rotate all potentially exposed credentials, API keys, and tokens. Monitor for unauthorized package publishing activity in repositories. Follow updates from the package maintainers or PyPI security teams for any official advisories or fixes. Patch status is not yet confirmed — check the vendor advisory or PyPI security notices for current remediation guidance.
Malicious code in magique (PyPI)
Description
--- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (b441b436c1f6aeba65c2af68c71655ed5aac95b0eb2ae4c402fc090c475ba887) The package was found to contain malicious code or consuming dependency that contains malicious code ## Source: kam193 (f5d3bf9e3bbd5c258d251ade5a15f3383a47a53ddd399d7cd3db2aee5cec45c4) Versions 0.6.8, 0.6.9 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
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The 'magique' PyPI package versions 0.6.8 and 0.6.9 were compromised to include an obfuscated JavaScript infostealer executed with the Bun runtime at Python startup. This malware collects a wide range of sensitive information such as environment variables, cloud tokens, credentials, and cryptocurrency data. It actively queries online services to gather additional secrets and attempts to maintain persistence and spread by publishing infected packages using stolen credentials. Data exfiltration is likely conducted via GitHub. The malicious code also includes destructive capabilities, threatening to wipe user data if invalid GitHub tokens are detected. The campaign is associated with the Mini Shai Hulud threat actor group and employs sandbox evasion techniques.
Potential Impact
Users of 'magique' versions 0.6.8 and 0.6.9 risk exposure of sensitive information including API keys, credentials for package repositories, cryptocurrency assets, and password manager data. The malware's persistence and propagation mechanisms increase the risk of further infections and supply chain compromise. Data exfiltration through GitHub can lead to widespread credential leakage. The destructive payload may result in data loss if triggered. Overall, this represents a significant compromise of confidentiality, integrity, and availability for affected users.
Mitigation Recommendations
No official patch or remediation is currently documented. Users should immediately discontinue use of 'magique' versions 0.6.8 and 0.6.9. Conduct thorough system and environment scans for the presence of the malicious code and related artifacts. Exercise extreme caution during cleanup due to the destructive potential of the malware. Review and rotate all potentially exposed credentials, API keys, and tokens. Monitor for unauthorized package publishing activity in repositories. Follow updates from the package maintainers or PyPI security teams for any official advisories or fixes. Patch status is not yet confirmed — check the vendor advisory or PyPI security notices for current remediation guidance.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-5296
- Osv Schema Version
- 1.7.4
- Aliases
- []
- Ecosystems
- ["PyPI"]
- Database Specific Severity
- null
- Cvss Version
- null
Threat ID: 6a50ba4568715ace4357e5b1
Added to database: 07/10/2026, 09:24:21 UTC
Last enriched: 07/10/2026, 09:35:51 UTC
Last updated: 07/31/2026, 09:40:21 UTC
Views: 6
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