T08 · Insecure Dependencies
- Location
SKILL.md:27- Finding
Unpinned Third-Party Dependencies and Implicit Package Execution
- Content
View full analysis
Vulnerability Details
File Location:
SKILL.md:27-28,SKILL.md:567, andSKILL.md:582
Vulnerability Type: Unpinned dependency installation and execution
Risk Level: MediumVulnerable Code
markdown * Python: `pip install openai-agents` * TypeScript: `npm install @openai/agents`bash # With tsx (recommended for quick testing) npx tsx your-file.tsbash # NPM npm install @openai/agentsTechnical Analysis
The installation commands do not pin reviewed package versions or require integrity verification. Consequently, package resolution depends on mutable registry state at installation time rather than on an audited release.
The
npx tsx your-file.tsinstruction presents an additional risk: iftsxis not installed locally,npxcan retrieve the current package version from the configured npm registry and immediately execute it. Installation may also invoke package lifecycle or build logic. A compromised package release, registry account, dependency, or configured registry could therefore introduce code that was not present when this Skill was reviewed.No evidence shows that the named packages are currently malicious. The vulnerability is the unsafe dependency acquisition and execution process.
Attack Path
- An attacker compromises a referenced package, one of its transitive dependencies, a package publisher account, or the package registry used by the victim.
- The attacker publishes a malicious version that satisfies the unpinned dependency request.
- A user follows the Skill and runs
pip install openai-agents,npm install @openai/agents, ornpx tsx your-file.ts. - The package manager retrieves the attacker-controlled release because no reviewed version or integrity constraint is specified.
- Malicious installation, build, lifecycle, or runtime code executes under the user's account.
- That code may read accessible project files and envir ...[truncated 735 chars]
- Remediation
View remediation
Remediation Suggestions
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Pin every direct dependency to an explicitly reviewed version, for example:
bash pip install "openai-agents==<reviewed-version>" npm install --save-exact "@openai/agents@<reviewed-version>" npm install --save-dev --save-exact "tsx@<reviewed-version>" -
Generate and commit lockfiles:
- Use a hash-locked Python requirements file produced by a tool such as
pip-compile --generate-hashes. - Commit
package-lock.json,npm-shrinkwrap.json, or an equivalent lockfile and usenpm ciin reproducible environments.
- Use a hash-locked Python requirements file produced by a tool such as
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Replace implicit
npxretrieval with execution of a previously installed, pinned local dependency:bash npm exec --offline -- tsx your-file.tsAlternatively, invoke the pinned binary from
node_modules/.bin. -
Verify package provenance and registry configuration before installation. Use a trusted registry, review publisher and release metadata, and enable package-manager integrity and provenance controls where available.
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Audit transitive dependencies and package lifecycle scripts before upgrades. Perform upgrades through a controlled review process rather than automatically accepting the newest release.
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Run dependency installation and test commands in an isolated, least-privileged environment without production API keys. Supply narrowly scoped, revocable test credentials only when required.
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