Notes: The analyzed code is a standard Axios defaults/module implementation with no malicious behavior detected. It handles request/response transformations and content-type management in a typical, safe manner. No data exfiltration, backdoors, or privacy-invasive actions are present within this fragment.

Confidence: 1.00

Severity: 0.60

From: scripts/js/package.json → npm/axios@1.13.5

ℹ Read more on: This package | This alert | What is an AI-detected potential code anomaly?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: An AI system found a low-risk anomaly in this package. It may still be fine to use, but you should check that it is safe before proceeding.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore npm/axios@1.13.5. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Notes: The code is a legitimate, self-contained throttling transformer designed for Axios-like streaming workflows. It throttles data output based on maxRate and timeWindow, preserves data integrity by splitting chunks when necessary, and emits optional progress telemetry. No malicious activity or data leakage is detected in this fragment. Security risk remains moderate due to throttling complexity and potential misconfiguration in real deployments, but the module itself does not introduce obvious security flaws.

Confidence: 1.00

Severity: 0.60

From: scripts/js/package.json → npm/axios@1.13.5

ℹ Read more on: This package | This alert | What is an AI-detected potential code anomaly?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: An AI system found a low-risk anomaly in this package. It may still be fine to use, but you should check that it is safe before proceeding.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore npm/axios@1.13.5. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Notes: The code appears to be a standard, well-scoped progress-event utility used to report progress (upload/download) to a consumer listener. It reads input from the event object and computes metrics, then forwards a structured payload to a listener. A minor data exposure risk exists due to passing the raw event object to the listener; mitigations include sanitizing the payload or removing the event object before emission. Overall security risk remains modest, with malware likelihood negligible in this isolated module.

Confidence: 1.00

Severity: 0.60

From: scripts/js/package.json → npm/axios@1.13.5

ℹ Read more on: This package | This alert | What is an AI-detected potential code anomaly?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: An AI system found a low-risk anomaly in this package. It may still be fine to use, but you should check that it is safe before proceeding.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore npm/axios@1.13.5. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Notes: The code provides a simple, non-obfuscated data-format normalization transform that prepends a zlib header when the incoming first byte is not 0x78. While this can enable downstream consumers that expect a zlib-like header, it can also corrupt data streams that are already compressed or use a different framing. There is no malicious activity detected, but the transformation should be used with clear data-format expectations and possibly a configurable option to enable/disable header insertion.

Confidence: 1.00

Severity: 0.60

From: scripts/js/package.json → npm/axios@1.13.5

ℹ Read more on: This package | This alert | What is an AI-detected potential code anomaly?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: An AI system found a low-risk anomaly in this package. It may still be fine to use, but you should check that it is safe before proceeding.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore npm/axios@1.13.5. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.