PyPI Supply Chain Attack Uncovered: Colorama and Colorizr Name Confusion
A malicious package campaign targeting Python and NPM users on Windows and Linux has been discovered. The attack uses typo-squatting and name-confusion tactics against the popular colorama Python package and the similar colorizr JavaScript package. Multiple packages with risky payloads were uploaded to PyPI, using names similar to legitimate packages in both PyPI and NPM. The unusual tactic of using an NPM package name to attack PyPI users was observed. The payloads allow remote access, control of desktops and servers, and exfiltration of sensitive data. Windows payloads attempt to bypass antivirus protection. The campaign's sophistication suggests targeted adversarial activity, although attribution remains unclear.
AI Analysis
Technical Summary
This threat describes a sophisticated supply chain attack campaign targeting developers using Python and JavaScript ecosystems, specifically through the PyPI and NPM package repositories. The attackers employed typo-squatting and name confusion techniques by uploading malicious packages with names closely resembling the legitimate and widely used 'colorama' Python package and the 'colorizr' JavaScript package. Notably, the campaign uses an unusual cross-ecosystem tactic by leveraging the similarity between package names in two different package managers (PyPI for Python and NPM for JavaScript) to confuse developers and automated dependency management systems into installing malicious packages. These malicious packages contain payloads capable of establishing remote access and control over infected desktops and servers, as well as exfiltrating sensitive data. The Windows-targeted payloads include mechanisms to evade antivirus detection, indicating a high degree of sophistication and persistence. The campaign aligns with multiple MITRE ATT&CK techniques such as process injection, obfuscated files or information, remote file copy, command and scripting interpreter usage, and persistence mechanisms. No specific affected versions of legitimate packages are listed, implying the attack relies on user installation of malicious packages rather than exploiting vulnerabilities in the legitimate packages themselves. Although no known exploits in the wild have been reported yet, the presence of hashes for malicious packages facilitates detection and response efforts. This campaign highlights the inherent risks in open-source software supply chains, especially given the widespread use of automated dependency management tools that may not adequately verify package authenticity or provenance. The attack targets development environments, raising the risk that compromised software could propagate downstream to customers and partners, amplifying the impact beyond initial victims.
Potential Impact
European organizations that rely heavily on Python and JavaScript ecosystems for software development and deployment are at risk of inadvertent compromise through this supply chain attack. The potential impacts include unauthorized remote access to critical systems, data theft, and disruption of services due to execution of malicious payloads. Sectors with high reliance on software development such as finance, manufacturing, telecommunications, and government are particularly vulnerable to operational and reputational damage. The ability of the payloads to evade antivirus detection on Windows systems increases the likelihood of prolonged undetected presence, enabling extensive data exfiltration and lateral movement within networks. Given the cross-platform nature of the attack affecting both Windows and Linux environments, a broad range of infrastructure components could be compromised. The campaign threatens the integrity of software supply chains, potentially undermining trust in open-source components widely used across European industries. This could lead to increased costs and delays as organizations implement additional verification and security measures. Furthermore, the targeting of development environments raises the risk of compromised software being propagated downstream to customers and partners, thereby amplifying the impact beyond the initial victims and potentially affecting the broader European digital ecosystem.
Mitigation Recommendations
1. Implement strict package verification by enforcing cryptographic signature validation and verifying package provenance before installation, especially for packages with names similar to popular libraries like 'colorama' and 'colorizr'. 2. Employ advanced dependency scanning tools capable of detecting typosquatting and name confusion attacks, integrating these tools into CI/CD pipelines to prevent malicious packages from entering build environments. 3. Restrict developer and build system permissions to limit the ability of malicious code to execute or propagate, including sandboxing build and testing environments to contain potential infections. 4. Maintain up-to-date antivirus and endpoint detection and response (EDR) solutions with behavior-based detection capabilities to identify evasive payloads, particularly on Windows systems. 5. Educate developers and DevOps teams about supply chain risks and encourage vigilance when adding new dependencies, particularly those with unfamiliar or suspicious names. 6. Monitor network traffic for unusual outbound connections indicative of data exfiltration or command and control activity, using network detection and response (NDR) tools. 7. Use allowlists for approved packages and versions in organizational repositories or private mirrors to reduce reliance on public repositories and prevent accidental installation of malicious packages. 8. Regularly audit installed packages and dependencies for unexpected or unauthorized additions, employing automated tools to detect anomalies. 9. Collaborate with security communities and threat intelligence providers to stay informed about emerging supply chain threats and indicators of compromise, leveraging shared intelligence for proactive defense. 10. Implement multi-factor authentication and strict access controls on package publishing accounts within organizational contexts to prevent adversary package uploads and reduce the risk of insider threats.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Italy, Spain, Poland
Indicators of Compromise
- hash: d30c78c64985a42c34ef142fd8754a776c8db81228bafc385c5bd429252e4612
- hash: daef5255eac4a4d16940e424c97492c6bad8fdafd2420632c371b9d18df3b47f
PyPI Supply Chain Attack Uncovered: Colorama and Colorizr Name Confusion
Description
A malicious package campaign targeting Python and NPM users on Windows and Linux has been discovered. The attack uses typo-squatting and name-confusion tactics against the popular colorama Python package and the similar colorizr JavaScript package. Multiple packages with risky payloads were uploaded to PyPI, using names similar to legitimate packages in both PyPI and NPM. The unusual tactic of using an NPM package name to attack PyPI users was observed. The payloads allow remote access, control of desktops and servers, and exfiltration of sensitive data. Windows payloads attempt to bypass antivirus protection. The campaign's sophistication suggests targeted adversarial activity, although attribution remains unclear.
AI-Powered Analysis
Technical Analysis
This threat describes a sophisticated supply chain attack campaign targeting developers using Python and JavaScript ecosystems, specifically through the PyPI and NPM package repositories. The attackers employed typo-squatting and name confusion techniques by uploading malicious packages with names closely resembling the legitimate and widely used 'colorama' Python package and the 'colorizr' JavaScript package. Notably, the campaign uses an unusual cross-ecosystem tactic by leveraging the similarity between package names in two different package managers (PyPI for Python and NPM for JavaScript) to confuse developers and automated dependency management systems into installing malicious packages. These malicious packages contain payloads capable of establishing remote access and control over infected desktops and servers, as well as exfiltrating sensitive data. The Windows-targeted payloads include mechanisms to evade antivirus detection, indicating a high degree of sophistication and persistence. The campaign aligns with multiple MITRE ATT&CK techniques such as process injection, obfuscated files or information, remote file copy, command and scripting interpreter usage, and persistence mechanisms. No specific affected versions of legitimate packages are listed, implying the attack relies on user installation of malicious packages rather than exploiting vulnerabilities in the legitimate packages themselves. Although no known exploits in the wild have been reported yet, the presence of hashes for malicious packages facilitates detection and response efforts. This campaign highlights the inherent risks in open-source software supply chains, especially given the widespread use of automated dependency management tools that may not adequately verify package authenticity or provenance. The attack targets development environments, raising the risk that compromised software could propagate downstream to customers and partners, amplifying the impact beyond initial victims.
Potential Impact
European organizations that rely heavily on Python and JavaScript ecosystems for software development and deployment are at risk of inadvertent compromise through this supply chain attack. The potential impacts include unauthorized remote access to critical systems, data theft, and disruption of services due to execution of malicious payloads. Sectors with high reliance on software development such as finance, manufacturing, telecommunications, and government are particularly vulnerable to operational and reputational damage. The ability of the payloads to evade antivirus detection on Windows systems increases the likelihood of prolonged undetected presence, enabling extensive data exfiltration and lateral movement within networks. Given the cross-platform nature of the attack affecting both Windows and Linux environments, a broad range of infrastructure components could be compromised. The campaign threatens the integrity of software supply chains, potentially undermining trust in open-source components widely used across European industries. This could lead to increased costs and delays as organizations implement additional verification and security measures. Furthermore, the targeting of development environments raises the risk of compromised software being propagated downstream to customers and partners, thereby amplifying the impact beyond the initial victims and potentially affecting the broader European digital ecosystem.
Mitigation Recommendations
1. Implement strict package verification by enforcing cryptographic signature validation and verifying package provenance before installation, especially for packages with names similar to popular libraries like 'colorama' and 'colorizr'. 2. Employ advanced dependency scanning tools capable of detecting typosquatting and name confusion attacks, integrating these tools into CI/CD pipelines to prevent malicious packages from entering build environments. 3. Restrict developer and build system permissions to limit the ability of malicious code to execute or propagate, including sandboxing build and testing environments to contain potential infections. 4. Maintain up-to-date antivirus and endpoint detection and response (EDR) solutions with behavior-based detection capabilities to identify evasive payloads, particularly on Windows systems. 5. Educate developers and DevOps teams about supply chain risks and encourage vigilance when adding new dependencies, particularly those with unfamiliar or suspicious names. 6. Monitor network traffic for unusual outbound connections indicative of data exfiltration or command and control activity, using network detection and response (NDR) tools. 7. Use allowlists for approved packages and versions in organizational repositories or private mirrors to reduce reliance on public repositories and prevent accidental installation of malicious packages. 8. Regularly audit installed packages and dependencies for unexpected or unauthorized additions, employing automated tools to detect anomalies. 9. Collaborate with security communities and threat intelligence providers to stay informed about emerging supply chain threats and indicators of compromise, leveraging shared intelligence for proactive defense. 10. Implement multi-factor authentication and strict access controls on package publishing accounts within organizational contexts to prevent adversary package uploads and reduce the risk of insider threats.
Affected Countries
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Technical Details
- Author
- AlienVault
- Tlp
- white
- References
- ["https://checkmarx.com/zero-post/python-pypi-supply-chain-attack-colorama/"]
- Adversary
- null
- Pulse Id
- 683e1f7f063d60138cc2ccf6
- Threat Score
- null
Indicators of Compromise
Hash
Value | Description | Copy |
---|---|---|
hashd30c78c64985a42c34ef142fd8754a776c8db81228bafc385c5bd429252e4612 | — | |
hashdaef5255eac4a4d16940e424c97492c6bad8fdafd2420632c371b9d18df3b47f | — |
Threat ID: 683e2204182aa0cae257e951
Added to database: 6/2/2025, 10:13:24 PM
Last enriched: 7/3/2025, 5:43:05 PM
Last updated: 8/1/2025, 4:26:51 PM
Views: 25
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