T08 · Insecure Dependencies
Warning
- Location
SKILL.md:67- Finding
Unpinned Third-Party Package Installation
- Content
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= 3.11, `OPENAI_API_KEY` set (used by the LLM runtime). **Install:** `pip install ganglion` ``` Related installation instructions include: ```bash pip install openai>=1.0 # or reinstall ganglion with all deps pip install ganglion ``` ### Technical Analysis The instructions install executable Python packages without exact version constraints, integrity hashes, or a reviewed lock file. Consequently, the code installed can change after the Skill itself has been audited. This is security-sensitive because Ganglion is instructed to: - Load and execute project Python configuration, tools, and agents. - Start an HTTP service. - Execute autonomous pipelines. - Operate in an environment containing `OPENAI_API_KEY`. Although the package name appears intentional and there is no evidence that the package is currently malicious, installing an unpinned release from the default package index leaves users exposed to upstream account compromise, malicious future releases, or unexpected dependency changes. ### Attack Path 1. An attacker compromises the publisher account, distribution infrastructure, or an indirect dependency used by a future Ganglion or OpenAI package release. 2. The attacker publishes a malicious version that still satisfies the unpinned installation command. 3. A user follows the documented `pip install ganglion` or `pip install openai>=1.0` instruction. 4. Pip resolves and installs the attacker-controlled version. 5. Malicious code executes during installation, import, or later invocation of the Ganglion CLI. 6. The payload operates with the invoking user's permissions and may acce ...[truncated 779 chars]- Remediation
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