T08 · Insecure Dependencies
Warning
- Location
requirements.txt:2- Finding
Mutable and Unverified Third-Party Dependencies
- Content
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=1.7.4 numpy>=1.21.0 pandas>=1.3.0 ``` The documented installation command is: ```bash pip install -r requirements.txt ``` ### Technical Analysis All dependencies use open-ended minimum-version constraints. Consequently, installation may resolve to any future compatible release rather than a specific version that has been reviewed and tested. No lock file or package hashes are supplied to authenticate downloaded artifacts. Python package installation can execute package build and installation logic. If an allowed dependency release or its distribution channel is compromised, following the documented installation procedure could execute attacker-controlled code. The `pandas` dependency is not imported by any audited Python module, so it unnecessarily expands the supply-chain attack surface. This finding does not establish that any currently listed package is malicious. It identifies an unsafe dependency-management practice that creates exposure to future upstream compromise. ### Attack Path 1. An attacker compromises an upstream package account, release process, or distribution artifact for one of the dependencies. 2. The attacker publishes a malicious version satisfying the open-ended `>=` constraint. 3. A user follows the installation instructions in `SKILL.md`. 4. `pip` resolves and downloads the malicious release because no exact version or trusted hash is required. 5. Malicious build or installation code executes with the permissions of the user running `pip`. ### Impact Assessment Successful exploitation could provide arbitrary code execution with the privileges of the installing user. The resulting scope could include access to files, environment variables, credentials, and network resour ...[truncated 204 chars]- Remediation
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=`. 3. Generate and commit a reproducible lock file for the supported Python environment. 4. Record trusted hashes and install with hash enforcement, such as `pip install --require-hashes`. 5. Perform dependency vulnerability and provenance scanning in CI. 6. Install dependencies in an isolated, least-privileged virtual environment rather than as an administrative user. 7. Review and deliberately update locked dependencies on a controlled schedule. ]]>