T08 · Insecure Dependencies
- Location
requirements.txt:5- Finding
Unpinned Python Dependencies Allow Unreviewed Package Updates
- Content
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Vulnerability Details
File Location:
requirements.txt:5-19
Vulnerability Type: Open-ended dependency constraints without integrity verification
Risk Level: MediumVulnerable Code
requirements akshare>=1.15.0 pandas>=2.0.0 numpy>=1.24.0 rich>=13.0.0 tabulate>=0.9.0 requests>=2.31.0 python-dateutil>=2.8.0Technical Analysis
The project specifies only minimum dependency versions. It does not provide exact version pins, cryptographic hashes, or a lock file. Consequently, each installation may resolve to newer package releases that were not reviewed during this audit.
This is a supply-chain weakness rather than evidence that any currently named package is malicious. If a dependency release, publisher account, or configured package index is compromised, the resolver could install attacker-controlled code. Python packages can execute code during installation, and imported packages execute module initialization code when the scripts start.
Attack Path
- An attacker compromises a dependency publisher, release process, or package registry account.
- The attacker publishes a malicious version satisfying the open-ended version constraint.
- A user installs the project dependencies from the default package index.
- The resolver selects the malicious newer version because it satisfies the
>=constraint. - Malicious code executes during package installation or when a project script imports the package.
Impact Assessment
Exploited dependency code would normally run with the privileges of the user installing or executing the project. It could access files readable by that user, alter project or user files, inspect process environment data, initiate network connections, or modify generated financial-analysis results.
The scope depends on the execution environment. Running dependency installation as an administrator or privileged service account would significantly increase t ...[truncated 20 chars]
- Remediation
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Remediation Suggestions
- Pin every direct dependency to an exact, reviewed version.
- Generate a transitive dependency lock file using a controlled dependency-management tool.
- Record cryptographic hashes and install with hash enforcement, such as
pip install --require-hashes. - Configure a trusted package index or an internally controlled package mirror.
- Review dependency provenance, release signatures, maintainers, and vulnerability advisories before upgrades.
- Test dependency updates in an isolated environment before promoting them.
- Install and execute the project using a dedicated, non-privileged virtual environment.
- Remove dependencies that are not directly required by the scripts to reduce supply-chain exposure.