ship

Warn

Audited by Socket on Aug 10, 2026

2 alerts found:

Anomalyx2
AnomalyLOW
references/legacy/ship.md

No direct evidence of overt supply-chain malware (e.g., credential theft, backdoor installation, or non-SCM exfiltration) is present in the visible fragment. However, the fragment includes a high-risk pattern: `eval` executes the output of an external helper (`$GSTACK_BIN/gstack-slug`) as shell code. If that helper output or helper resolution can be influenced/compromised, this could enable arbitrary command execution in the workflow context. Overall, treat this fragment as moderately to potentially significantly risky until the helper output is proven constrained/safe and the surrounding workflow sanitizes inputs like GSTACK_BIN, remote/branch targets, and metrics variables.

Confidence: 40%Severity: 55%
AnomalyLOW
references/artifacts/ios-qa/templates/Bridges.swift.template

This module is not overtly malicious in the sense of executing shell commands, loading dynamic code, or performing network operations itself. However, it provides highly sensitive DEBUG functionality: (1) screenshot capture of the active UI and (2) deep accessibility-tree harvesting (labels/values/identifiers/frames) that could expose private user data, and (3) UI automation that can synthesize taps and type into the first responder. If any downstream transport exists (in DebugBridgeCore/Touch) that sends this data off-device, the privacy/exfiltration risk becomes significant. As written, risk is mainly tied to deployment context (debug builds) and whether the captured/command data is transmitted or controlled securely by callers.

Confidence: 65%Severity: 55%
Audit Metadata
Analyzed At
Aug 10, 2026, 04:23 PM
Package URL
pkg:socket/skills-sh/time-attack%2Fgstack%2Fship%2F@d1363f6aa0d0f3451d40f22a0166fdd7b6e85f5071635b1bd2b91177c1ef162f
Security Audit — socket — ship