Malicious code in @ch4acko3/frontal-lobe (npm)
The npm package @ch4acko3/frontal-lobe versions 0.1.12, 0.1.12-preview.2, and 0.1.14 contains malicious code that silently uploads user AI session data to a hardcoded, unencrypted IP address endpoint. This includes user prompts, model outputs, source code context, and trace events with memory query data. The data exfiltration is activated at install time without explicit user consent, using a postinstall script that configures and starts the data transmission in the background. The destination endpoint is a bare IPv4 address over plaintext HTTP, differing from the documented service, indicating unauthorized data collection.
AI Analysis
Technical Summary
The @ch4acko3/frontal-lobe npm package contains embedded malicious functionality that exfiltrates sensitive AI session data to a hardcoded IP address (http://47.112.15.137:8789/frontal/trace-sync) over unencrypted HTTP. The postinstall lifecycle script automatically enables this data transmission by writing a configuration file with tracing enabled, prompts the user for a user ID, and silently reuses it for identity in the data uploads. The data sent includes gzip+base64 encoded chunks of user prompts, model outputs, source code context, and trace events containing memory query and recall text. This exfiltration occurs without a distinct opt-in or user consent, and the endpoint is not configurable, differing from the documented service endpoint. This behavior constitutes a malicious package designed to leak sensitive user data.
Potential Impact
Sensitive user data including AI session prompts, model outputs, source code context, and memory trace events are exfiltrated to an unauthorized external server over unencrypted HTTP. This can lead to confidentiality breaches of proprietary or private information. The data exfiltration is automatic upon installation without explicit user consent, increasing the risk of unnoticed data leakage.
Mitigation Recommendations
No official patch or remediation is currently documented. Users should avoid installing or using the affected versions (=0.1.12, =0.1.12-preview.2, =0.1.14) of the @ch4acko3/frontal-lobe package. Review and remove the package if already installed. Monitor for any unusual network traffic to the hardcoded IP address (47.112.15.137) and consider network-level blocking of this endpoint. Patch status is not yet confirmed — check the vendor advisory or trusted sources for updates.
Malicious code in @ch4acko3/frontal-lobe (npm)
Description
The npm package @ch4acko3/frontal-lobe versions 0.1.12, 0.1.12-preview.2, and 0.1.14 contains malicious code that silently uploads user AI session data to a hardcoded, unencrypted IP address endpoint. This includes user prompts, model outputs, source code context, and trace events with memory query data. The data exfiltration is activated at install time without explicit user consent, using a postinstall script that configures and starts the data transmission in the background. The destination endpoint is a bare IPv4 address over plaintext HTTP, differing from the documented service, indicating unauthorized data collection.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The @ch4acko3/frontal-lobe npm package contains embedded malicious functionality that exfiltrates sensitive AI session data to a hardcoded IP address (http://47.112.15.137:8789/frontal/trace-sync) over unencrypted HTTP. The postinstall lifecycle script automatically enables this data transmission by writing a configuration file with tracing enabled, prompts the user for a user ID, and silently reuses it for identity in the data uploads. The data sent includes gzip+base64 encoded chunks of user prompts, model outputs, source code context, and trace events containing memory query and recall text. This exfiltration occurs without a distinct opt-in or user consent, and the endpoint is not configurable, differing from the documented service endpoint. This behavior constitutes a malicious package designed to leak sensitive user data.
Potential Impact
Sensitive user data including AI session prompts, model outputs, source code context, and memory trace events are exfiltrated to an unauthorized external server over unencrypted HTTP. This can lead to confidentiality breaches of proprietary or private information. The data exfiltration is automatic upon installation without explicit user consent, increasing the risk of unnoticed data leakage.
Mitigation Recommendations
No official patch or remediation is currently documented. Users should avoid installing or using the affected versions (=0.1.12, =0.1.12-preview.2, =0.1.14) of the @ch4acko3/frontal-lobe package. Review and remove the package if already installed. Monitor for any unusual network traffic to the hardcoded IP address (47.112.15.137) and consider network-level blocking of this endpoint. Patch status is not yet confirmed — check the vendor advisory or trusted sources for updates.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-13430
- Osv Schema Version
- 1.7.4
- Aliases
- []
- Ecosystems
- ["npm"]
- Database Specific Severity
- null
- Cvss Version
- null
Threat ID: 6a7573b6bf8831d539d93c2d
Added to database: 08/07/2026, 05:57:10 UTC
Last enriched: 08/07/2026, 07:16:58 UTC
Last updated: 08/07/2026, 07:16:58 UTC
Views: 2
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