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GptPanda — agentic threat model

8.2AIVSS 8.2 · High

GptPanda is a Slack-integrated AI assistant presenting moderate risk, primarily driven by its access to workspace channels and private messages, where a compromise could lead to unauthorized exposure of sensitive organizational conversations.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.73Factor sum 2.8/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.30
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.40
Contextual Awareness
0.50
Dynamic Identity
0.10
Multi-Agent Interactions
0.10
Non-Determinism
0.60
Opacity & Reflexivity
0.50

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

Uses the latest OpenAI foundation models. It is susceptible to standard LLM vulnerabilities such as prompt injection, jailbreaking, and adversarial inputs designed to bypass safety guardrails.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The premium tier offers 'context recognition,' implying it processes and potentially stores Slack message history, but the exact data retention, storage, and RAG architecture are unspecified.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework managing the Slack API interactions, session state, and context window is not disclosed.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosting infrastructure, containerization, and the security of Slack OAuth token storage are not detailed in the public directory.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of input/output filtering, automated guardrails, or logging mechanisms to detect malicious prompt injections or data exfiltration attempts.

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

Not certain from the listing — While it is tagged as open source, specific compliance certifications (e.g., SOC 2, GDPR) and fine-grained authorization policies within Slack are not documented.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The agent operates within a shared Slack workspace ecosystem, but its ability to interact with or trigger other Slack bots and integrations is not defined.

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