@tachybase/module-cloud-component@1.6.54
Cloud component
AI Security Review
scanned 1d ago · by lpm-firewall-aiThis is a credential-forwarding vulnerability in the remote-library fetch flow, not evidence of deliberate package malware. It requires a configured and enabled remote library, so the appropriate verdict is suspicious with a warning.
Static reason
No blocking static signals were detected.
Trigger
On application startup, when a configured cloud library is enabled, uses a remote source, and has no cached code; an explicit remote sync can also fetch code.
Impact
A redirect to a third-party host can expose the configured repository token, potentially granting access to private source code.
Mechanism
The fetcher attaches the configured token to the request, follows redirects, and recursively sends the same credentials to the redirect URL without restricting its host.
AI rationale
This is a credential-forwarding vulnerability in the remote-library fetch flow, not evidence of deliberate package malware. It requires a configured and enabled remote library, so the appropriate verdict is suspicious with a warning.
Evidence
dist/server/services/remote-code-fetcher.jsdist/server/services/cloud-libraries-service.jsdist/server/collections/cloud-libraries.js
Network endpoints2
Configured codeUrl over HTTP or HTTPSUnrestricted HTTP or HTTPS redirect destinations
Decision evidence
public snapshotAI called this Suspicious at 91.0% confidence as Critical Vulnerability with medium false-positive risk.
Evidence for warning
- The remote fetcher adds the configured bearer token to the HTTP Authorization header.
- It follows redirects and passes the same authentication credentials to the redirect URL without checking its host, which can expose the token to a third party.
- At application startup, the service fetches remote code for enabled libraries when no cached code is available.
- Remote libraries are disabled by default, so this requires a library to be configured and enabled.
Evidence against
- The remote code fetch and execution support is part of the package’s cloud-library feature.
- The manifest has no install scripts and no runtime dependencies.
Behavioral surface
Network
HighEntropyStringsMinifiedTelemetryUrlStrings
NoLicense
Source & flagged code
6 flaggeddist/server/services/cloud-libraries-service.jsView file
47var desc = k && (!p && !s && (target = target.prototype), k < 5 && (k > 3 || !p) && __getOwnPropDesc(k < 4 ? target : { get [name]() {
L48: return __privateGet(this, extra);
L49: }, set [name](x) {
Medium
Unsafe Vm Context
Package source executes code through a VM context API.
dist/server/services/cloud-libraries-service.jsView on unpkg · L47dist/client/index.jsView file
•path = dist/client/index.js
kind = oversized_source_file
sizeBytes = 8254994
magicHex = [redacted]
Medium
Oversized Source File
Package contains source files above the normal full-analysis size ceiling.
dist/client/index.jsView on unpkgdist/node_modules/@babel/core/lib/config/files/plugins.js#virtual:normalized:round1
Findings
1 Critical1 High6 Medium4 Low
CriticalManifest Confusionpackage.json
HighSemantic Analysis Limiteddist/node_modules/@babel/core/lib/config/files/plugins.js#virtual:normalized:round1
MediumUnsafe Vm Contextdist/server/services/cloud-libraries-service.js
MediumNetwork
MediumOversized Source Filedist/client/index.js
MediumStructural Risk Force Deep Review
MediumStripped Provenance Metadatadist/server/services/remote-code-fetcher.js
MediumAi Review Evidencedist/server/services/remote-code-fetcher.js
LowHigh Entropy Strings
LowTelemetry
LowUrl Strings
LowNo License
Affected versions and remediation
This report applies to @tachybase/module-cloud-component@1.6.54.
See all versions of @tachybase/module-cloud-component for other recorded verdicts.
- Review the evidence and your use of @tachybase/module-cloud-component@1.6.54 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.