T08 · Insecure Dependencies
Warning
- Location
- requirements.txt:1
- Finding
- Unpinned Third-Party Dependencies Without Integrity Verification## Vulnerability Details **File Location**: `requirements.txt:1-3` **Related Installation Instruction**: `SKILL.md:203-205` **Vulnerability Type**: T08: Insecure Dependencies **Risk Level**: Medium ### Vulnerable Code `requirements.txt:1-3`: ```text matplotlib numpy pandas ``` `SKILL.md:203-205`: ```bash # Python dependencies pip install -r requirements.txt ``` ### Technical Analysis The project declares third-party packages without exact version constraints or cryptographic hashes. Consequently, every installation may resolve to different package releases that were not reviewed as part of this audit. Although the listed package names appear legitimate and there is no direct evidence that they are currently malicious, the dependency installation process lacks reproducibility and integrity enforcement. If an upstream package, release artifact, package index, or dependency account were compromised, the documented installation command could retrieve and install attacker-controlled code. ### Attack Path 1. An attacker compromises a declared package, one of its transitive dependencies, its release process, or the package index used by the victim. 2. The attacker publishes or substitutes a malicious release that satisfies the unconstrained dependency declaration. 3. A user follows the installation instruction in `SKILL.md` and runs `pip install -r requirements.txt`. 4. Pip resolves and installs the malicious or compromised release because no reviewed version or artifact hash is enforced. 5. Malicious package code can execute during installation or when imported by `scripts/main.py:11-14`. 6. That code executes with the privileges of the user or automation account running the installation or plotting script. ### Impact Assessment Successful exploitation could provide arbitrary code execution within the installing user's security context. Depending on that account's permissions, the attacker could access project files, input datasets, generated outputs, e ...[truncated 357 chars]
- Remediation
- ## Remediation Suggestions 1. Pin every direct dependency to an exact, reviewed version rather than leaving versions unconstrained. 2. Generate a lock file that includes all transitive dependencies. 3. Record cryptographic hashes for approved distribution artifacts and install them with: ```bash pip install --require-hashes -r requirements.txt ``` 4. Obtain packages only from an explicitly configured, trusted package index. 5. Perform dependency vulnerability and provenance checks as part of CI before approving updates. 6. Apply dependency upgrades through a reviewed process instead of resolving arbitrary current releases during deployment. 7. Install dependencies and run the script in a least-privileged virtual environment or sandbox. 8. Reconcile the documentation with the dependency manifest: `SKILL.md:158` states that `openpyxl` is required for Excel support, but it is absent from `requirements.txt`.