T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:461
- Finding
- Unpinned Third-Party Dependency Installation## Vulnerability Details **File Location**: `SKILL.md`, lines 461-465 **Vulnerability Type**: Unpinned third-party dependency and insufficient supply-chain verification **Risk Level**: Medium ### Vulnerable Code ```markdown ## Dependencies ```bash pip install pandas ``` ``` ### Technical Analysis The installation instruction retrieves the latest version of `pandas` and its transitive dependencies available when the command is executed. The project does not specify an approved version, lock transitive dependencies, verify package hashes, or require an isolated environment. Consequently, installations are not reproducible and may consume an unexpectedly changed or compromised package release. If the package distribution account, package index, or a transitive dependency is compromised, installation may execute attacker-controlled package build or installation logic in the context of the user running `pip`. No evidence indicates that `pandas` itself is malicious. The risk arises from unconstrained dependency resolution and the absence of integrity verification. ### Attack Path 1. A user follows the dependency instructions in `SKILL.md`. 2. The user runs `pip install pandas`. 3. `pip` resolves the current `pandas` release and its transitive dependencies without consulting a reviewed lockfile or verifying project-provided hashes. 4. An unexpectedly changed or compromised release is downloaded from the configured package index. 5. Malicious package build or installation logic executes with the permissions of the user running `pip`. 6. The malicious dependency could access or modify resources available to that user. Exploitation therefore requires compromise or manipulation of the dependency supply chain, or use of an untrusted package index. ### Impact Assessment Successful exploitation could execute arbitrary code with the privileges of the account running the installation command. Depending on that account ...[truncated 358 chars]
- Remediation
- ## Remediation Suggestions 1. Pin `pandas` and every transitive dependency to reviewed versions in a lockfile. 2. Record and verify cryptographic hashes by installing with `pip install --require-hashes -r requirements.txt`. 3. Generate the lockfile from a trusted package index and review dependency updates before adoption. 4. Recommend installation inside a dedicated virtual environment rather than a global or privileged Python environment. 5. Configure pip to use an explicitly trusted HTTPS index and avoid untrusted additional indexes. 6. Add automated dependency vulnerability and integrity scanning to the maintenance process.