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telegram — agentic threat model

6.6AIVSS 6.6 · Medium

This agent plugin acts as a bridge between Claude Code and Telegram, introducing a high-risk vector where bypass of the built-in allowlist or pairing mechanism could allow unauthorized remote users to execute commands on the host system.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.72Factor sum 2.9/10Threat ×1.0Mitigation ×0.8
Autonomy of Action
0.40
Goal-Driven Planning
0.20
Self-Modification
0.10
Dynamic Tool Use
0.50
Persistent Memory
0.30
Contextual Awareness
0.30
Dynamic Identity
0.40
Multi-Agent Interactions
0.20
Non-Determinism
0.30
Opacity & Reflexivity
0.20

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⚠ not certain from listing

Not certain from the listing — The plugin relies on Claude Code's underlying foundation model for message generation and command parsing, but does not directly manage or modify the model itself.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — No explicit RAG, vector database, or training data operations are mentioned, though it handles transient message data relayed to and from Telegram.

L3 · Agent Frameworks✓ mapped

The plugin integrates directly with the Claude Code framework to expose commands and relay messages. Vulnerabilities in the pairing or command parsing logic could lead to tool misuse, allowing unauthorized Telegram users to trigger local agent actions.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The bridge runs within the Claude Code environment and connects to Telegram's external API, requiring secure management of API tokens and network egress, but specific sandboxing details are omitted.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of built-in logging, monitoring, or anomaly detection to identify brute-force pairing attempts or malicious message payloads.

L6 · Security & Compliance (cross-cutting)✓ mapped

The plugin implements explicit security controls including built-in access control, pairing, allowlist management, and a dedicated policy command (/telegram:access) to restrict access to authorized users.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — While it connects Claude Code to the external Telegram ecosystem (which may contain other bots or agents), it does not explicitly define multi-agent orchestration or marketplace trust boundaries.

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