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Cody by ajhous44 — agentic threat model

6.6AIVSS 6.6 · Medium

Cody is a local-centric AI coding assistant with read-access to codebases via real-time file monitoring and vector embeddings. Its primary security risk is the potential exfiltration of intellectual property or hardcoded secrets to third-party LLM providers (OpenAI) via prompt injection or insecure data handling.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 0.84Factor sum 2.4/10Threat ×1.0Mitigation ×0.9
Autonomy of Action
0.20
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.20
Persistent Memory
0.30
Contextual Awareness
0.60
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.50
Opacity & Reflexivity
0.40

Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.

MAESTRO 7-layer threat model

Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.

L1 · Foundation Models✓ mapped

Leverages OpenAI's language models. Vulnerable to prompt injection attacks that could trick the model into ignoring system instructions or leaking sensitive parts of the codebase in its responses.

L2 · Data Operations✓ mapped

Uses vector embeddings, chunking, and real-time file monitoring to build a local knowledge base. Vulnerable to local data poisoning if an attacker can introduce malicious files into the monitored repository, leading to corrupted search results or malicious code recommendations.

L3 · Agent Frameworks✓ mapped

Orchestrates interactive Q&A and codebase navigation. Vulnerable to insecure file-path handling or directory traversal if the framework does not properly sanitize user queries before matching them against the codebase index.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — likely runs as a local developer tool. If so, the primary infrastructure threats are the insecure storage of OpenAI API keys in local environment variables and lack of sandboxing for the file-monitoring process.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no evaluation, guardrails, or monitoring tools are mentioned. This creates a blind spot where malicious or anomalous queries and data leaks to the OpenAI API go undetected.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — features a customizable ignore list to exclude sensitive files, which acts as a basic data compliance control. However, there is no evidence of robust access controls, audit logging, or enterprise compliance alignments.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — Cody appears to operate as a standalone single-agent tool with no multi-agent orchestration or ecosystem marketplace integrations described.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).