supply chain / llamaindex

LlamaIndex (JS)

registrynpm
package namellamaindex
maintainerLlamaIndex

LlamaIndex for JavaScript is the Node.js port of the LlamaIndex data framework for LLM applications, providing document ingestion, indexing, retrieval, and query pipelines. It connects LLMs to private data stored in vector databases, object stores, and document repositories. It is used in enterprise knowledge base and RAG applications.

api usage

Checking LlamaIndex (JS)

llamaindex 0.5.0 is a clean, monitored version with no known supply chain compromise. The example response returns supply_chain_monitored: true and compromised: false with an empty sources array.

bash
curl "https://api.attestd.io/v1/check?product=llamaindex&version=0.5.0" \
  -H "Authorization: Bearer YOUR_API_KEY"
example response
json
{
  "product": "llamaindex",
  "version": "0.5.0",
  "supported": true,
  "risk_state": "none",
  "risk_factors": [],
  "actively_exploited": false,
  "remote_exploitable": false,
  "authentication_required": false,
  "patch_available": false,
  "fixed_version": null,
  "confidence": 0.9,
  "cve_ids": [],
  "cves": null,
  "max_epss": null,
  "typosquat": null,
  "supply_chain_monitored": true,
  "supply_chain": {
    "compromised": false,
    "sources": [],
    "malware_type": null,
    "description": null,
    "advisory_url": null,
    "compromised_at": null,
    "removed_at": null
  },
  "last_updated": "2026-05-01T00:00:00Z"
}
attack surface

Why this package is monitored

LlamaIndex JS ingests private documents for RAG before embeddings land in a vector store. Malicious code in the ingest or embed path can copy source documents and query context that never appear in downstream audit logs.

Attestd monitors llamaindex using the following detection sources:

registry

Manually curated advisories in the Attestd registry, verified by a human analyst. Confidence 1.0.

osv

OSV.dev malicious-package advisories with IDs prefixed MAL-. Confidence 0.95.

npm_deprecation

npm package versions with deprecation messages containing targeted attack language such as malicious, backdoor, or compromised. Confidence 0.80.

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