ai-textsnpm
ai-texts is a confirmed malicious npm package (MAL-2026-14217) that executes malicious code on install (malicious version 1.0.1). Do not install it — remove it immediately and rotate any exposed credentials.
Malicious code in ai-texts (npm)
What this malware does
The package advertises itself as text helpers for AI pipelines (toText/normalizeText) but src/index.js unconditionally invokes a dropper at module top level on require()/import. The dropper downloads a platform-specific installer from https://anymeetvia.com/download/{win|mac-x86_64|linux}/install1[.ps1] into the OS temp directory, chmods it 0755 on macOS/Linux, and executes it via powershell -File on Windows or bash on Unix, then calls process.exit. There is no version pinning, no hash or signature verification, and the download endpoint is an author-controlled domain unrelated to the advertised functionality. The remote installer content is not present in the package and can be changed by whoever controls anymeetvia.com at any time. The README and module.exports document only the text-helper API; the dropper is undocumented.
Malicious versions
Indicators of compromise (SHA-256)
Detection & response playbook
Malicious packageFind it
Scan your lockfiles (package-lock.json, pnpm-lock.yaml, yarn.lock, requirements.txt, poetry.lock, etc.) and build artifacts for ai-texts (version 1.0.1). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging ai-texts across your stack and pipelines.
If you installed it — respond
Remove ai-texts from your project and lockfile, then assume any secrets accessible to the build or runtime were exposed: rotate API keys, tokens, and credentials, and audit for unexpected outbound activity or persistence.
Did it already run?
If ai-texts was ever installed, its post-install/runtime payload may have already executed. O3's L7 egress monitoring and runtime eBPF sensors detect the credential exfiltration or command-and-control callback after install and block the malicious outbound channel, so you catch and contain the actual compromise — not just the presence of the package.
How O3 protects you
O3 blocks ai-texts before install through its supply-chain scanner, and if it has already run, detects and severs the exfiltration or C2 callback at runtime through L7 egress monitoring and eBPF.
Frequently asked questions
Campaign
References
Credits
- Amazon Inspector · finder
Detect & block this
O3 blocks ai-texts-class packages before install and in CI — and if it already ran, its runtime egress monitoring catches the malicious outbound activity and severs the channel.