T08 · Insecure Dependencies
- Location
scripts/tesla.py:3- Finding
Unbounded Third-Party Dependency Can Introduce Unreviewed Code
- Content
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Vulnerability Details
File Location:
scripts/tesla.py:3-6
Vulnerability Type: Unbounded third-party dependency
Risk Level: MediumVulnerable Code:
python # /// script # requires-python = ">=3.10" # dependencies = [ # "teslapy>=2.0.0", # ]Technical Analysis
The PEP 723 dependency declaration permits any current or future
teslapyrelease from version 2.0.0 onward. The project provides no exact version pin, dependency lockfile, package hash, or other integrity constraint. Consequently, a compatible release published after this audit may be downloaded and executed without its code having been reviewed.The package is imported at runtime and handles Tesla OAuth authentication, token caching, network communication, vehicle information, and physical vehicle commands. Python package initialization code executes during import, so a compromised dependency release could run arbitrary code with the privileges of the user invoking the Skill.
The direct
tesla.fetch_token()call atscripts/tesla.py:35is consistent with the declared OAuth authentication workflow and is not, by itself, evidence of malicious exfiltration. However, the network and token-handling implementation resides in the external dependency and was not included in the audited project.Attack Path
- An attacker compromises the upstream
teslapyproject, its maintainer account, or the package publication process. - The attacker publishes a malicious release whose version satisfies
teslapy>=2.0.0. - A PEP 723-compatible runner resolves and installs that release when the Skill is executed.
scripts/tesla.pyimportsteslapy, causing attacker-controlled package initialization code to execute.- The malicious code runs with the invoking user's local permissions and may read
~/.tesla_cache.json, capture OAuth data, contact attacker-controlled infrastructure, or invoke Tesla account and vehicle operations. 6 ...[truncated 1033 chars]
- An attacker compromises the upstream
- Remediation
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Remediation Suggestions
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Replace the open-ended version range with an exact, reviewed version, for example:
python # dependencies = [ # "teslapy==2.0.0", # ]Select the exact version only after verifying its source and release provenance.
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Use a reproducible dependency lock mechanism with cryptographic hashes. Require package hash verification during installation so a substituted artifact is rejected.
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Restrict dependency resolution to an explicitly trusted package index and disable unintended fallback indexes to reduce dependency-confusion exposure.
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Review dependency updates before changing the pinned version, including package ownership, release history, source changes, transitive dependencies, and published artifact integrity.
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Run the Skill with a dedicated, least-privileged operating-system account or sandbox. Restrict filesystem access to the required token cache and limit network access to documented Tesla authentication and API endpoints where operationally feasible.
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Protect
~/.tesla_cache.jsonwith owner-only permissions and document immediate Tesla token revocation procedures for suspected compromise. -
Consider isolating authentication from routine vehicle commands so the long-lived refresh token is not unnecessarily exposed to every execution context.
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