T08 · Insecure Dependencies
Warning
- Location
requirements.txt:1- Finding
Unpinned Third-Party Dependency Permits Unreviewed Supply-Chain Updates
- Content
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=0.4.0 ``` `SKILL.md:13-16`: ```bash ```bash pip install scrapling ``` ``` `README.md:69-72`: ```bash # Install Scrapling pip install scrapling ``` ### Technical Analysis The project permits any Scrapling release equal to or newer than version 0.4.0. Its documented installation commands do not specify a version or validate package hashes. Consequently, installation results depend on whichever package version the package index serves at that time rather than on a reviewed, reproducible dependency set. The application imports and executes the dependency directly: ```python from scrapling import Fetcher, StealthyFetcher, DynamicFetcher ``` It subsequently invokes all three imported fetcher implementations. A compromised upstream account, malicious future release, package-index compromise, or dependency-resolution attack could therefore introduce attacker-controlled behavior without any modification to this repository. This finding does not establish that the current Scrapling package is malicious. The vulnerability is the project's unrestricted trust in future, unreviewed package versions and lack of integrity verification. ### Attack Path 1. An attacker compromises the upstream package, its publishing credentials, or a package distribution channel and publishes a malicious version satisfying `>=0.4.0`. 2. A user follows the documented `pip install scrapling` instruction or installs from `requirements.txt`. 3. The package resolver selects the malicious or compromised release because no exact version or hash is required. 4. The malicious dependency executes during an applicable installation hook or when `flowcrawl.py` imports and invokes S ...[truncated 775 chars]- Remediation
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``` 2. Generate a lock file containing cryptographic hashes and install with hash enforcement, for example: ```bash pip install --require-hashes -r requirements.txt ``` 3. Pin and hash transitive dependencies as well, using a reproducible dependency-management tool such as `pip-tools`, Poetry, or uv. 4. Update `SKILL.md` and `README.md` so users install from the reviewed lock file rather than running an unconstrained `pip install scrapling` command: ```bash python -m pip install --require-hashes -r requirements.txt ``` 5. Configure trusted package indexes explicitly and prevent unintended fallback to untrusted or internal-conflicting indexes. 6. Review dependency updates before changing the lock file. Incorporate automated vulnerability scanning, dependency provenance checks, and controlled update testing into the release process. 7. Recommend installation and execution in an isolated virtual environment under a non-privileged account to reduce the impact of a compromised dependency. ]]>