@nanonets/graft@0.28.1
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AI Security Review
scanned 5d ago · by lpm-firewall-aiThe install hook sends default-on telemetry without an install-time opt-in, which is suspicious under the review rules. The inspected event is limited to anonymous identifiers and package/runtime metadata, so this is warning-level telemetry rather than data exfiltration.
Static reason
One or more suspicious static signals were detected.; previous stored version diff introduced dangerous source
Trigger
npm postinstall, outside CI and when telemetry is enabled by the package's default settings.
Impact
The vendor receives an install count and limited package/runtime metadata without an explicit install-time opt-in.
Mechanism
The hook records an install event, then starts a detached child to flush the telemetry queue to the vendor's PostHog endpoint.
AI rationale
The install hook sends default-on telemetry without an install-time opt-in, which is suspicious under the review rules. The inspected event is limited to anonymous identifiers and package/runtime metadata, so this is warning-level telemetry rather than data exfiltration.
Evidence
package.jsonscripts/postinstall.mjsdist/telemetry/gate.jsdist/telemetry/track.jsdist/telemetry/send.jsdist/telemetry/key.js~/.graft/telemetry.json
Network endpoints1
events.nanonets.com
Decision evidence
public snapshotAI called this Suspicious at 96.0% confidence as Dangerous Capability with medium false-positive risk.
Evidence for warning
- The package runs scripts/postinstall.mjs from its postinstall lifecycle hook.
- The install hook records an install event and launches a detached telemetry flush.
- Telemetry is on by default unless a user disables it; CI and DO_NOT_TRACK are additional gates.
- The install event contains version and runtime facts plus a global-install flag, and is sent to the vendor's PostHog endpoint.
Evidence against
- The telemetry event uses a random install ID and does not include project files, paths, credentials, or free-form input.
- The package describes anonymous usage telemetry in its README and provides opt-out controls.
- Claude configuration writes are part of the explicit init flow, not the install hook.
Behavioral surface
ChildProcessCryptoDynamicRequireEnvironmentVarsFilesystemNetworkShell
HighEntropyStringsMinified
Source & flagged code
8 flaggedpackage.jsonView file
•scripts.postinstall = node scripts/postinstall.mjs
High
Install Time Lifecycle Scripts
Package defines install-time lifecycle scripts.
package.jsonView on unpkg•scripts.postinstall = node scripts/postinstall.mjs
Medium
Ambiguous Install Lifecycle Script
Install-time lifecycle script is not statically allowlisted and needs review.
package.jsonView on unpkgdist/claude/pre-bash.jsView file
100async function nodeFs() {
L101: return typeof process.getBuiltinModule === 'function' ? process.getBuiltinModule('node:fs') : await import('node:fs');
L102: }
Medium
Dynamic Require
Package source references dynamic require/import behavior.
dist/claude/pre-bash.jsView on unpkg · L100Findings
4 High6 Medium6 Low
HighInstall Time Lifecycle Scriptspackage.json
HighTrigger Reachable External Ai Agent Control Surface Mutationdist/claude/init.js
HighSemantic Analysis Limiteddist/app/checkout.js#virtual:normalized:round1
HighPrevious Version Dangerous Deltadist/cli.js
MediumAmbiguous Install Lifecycle Scriptpackage.json
MediumDynamic Requiredist/claude/pre-bash.js
MediumNetwork
MediumEnvironment Vars
MediumShips Native Binarydist/vendor/tree-sitter-swift/prebuilds/win32-arm64/tree-sitter-swift.node
MediumStructural Risk Force Deep Review
LowNon Install Lifecycle Scripts
LowScripts Present
LowWeak Crypto
Affected versions and remediation
This report applies to @nanonets/graft@0.28.1.
See all versions of @nanonets/graft for other recorded verdicts.
- Review the evidence and your use of @nanonets/graft@0.28.1 before allowing it. Restrict the permissions described in this report.
- Choose an independently verified alternative or release. This report does not establish that other versions are safe.
Evidence last updated: .
Think this verdict is wrong? Dispute it on GitHub or read how reports are produced.