T08 · Insecure Dependencies
- Location
requirements.txt:1- Finding
Unpinned Third-Party Dependencies Permit Unreviewed Package Updates
- Content
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=1.30.0 numpy>=1.26.0 requests>=2.31.0 ``` ### Technical Analysis All dependencies use lower-bound-only version constraints. Consequently, future installations may retrieve package versions that were not available or reviewed when the Skill was audited. There is no lock file, upper version boundary, or package hash verification. The package names correspond to legitimate dependencies, and no evidence of typosquatting or a currently malicious package was found. The weakness is that the effective installed code can change over time without any change to this repository. Python packages execute code with the privileges of the installing or running process. If an upstream release, package index account, or dependency chain is compromised, malicious package code could execute during installation or import. ### Attack Path 1. An upstream package account, release process, or transitive dependency is compromised. 2. A malicious version is published that still satisfies the declared lower-bound constraint. 3. A user runs `pip install -r requirements.txt` at a later date. 4. The package manager retrieves the compromised version. 5. Malicious installation or import-time code executes with the privileges of the Python environment. ### Impact Assessment Successful exploitation could provide arbitrary code execution under the account installing or running the Skill. Depending on that account's permissions, an attacker could access project files, environment variables such as `UPSTAGE_API_KEY`, network resources, and writable user data. The declarations themselves do not request elevated system privileges, and no automatic privilege escalation was identified. ]]>- Remediation
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