Full Report
Connect all the things and watch what happens
Analysis Summary
# Vulnerability: AI Connector Scope Creep and Indirect Data Exfiltration
## CVE Details
- **CVE ID**: N/A (Architectural/Systemic Flaw)
- **CVSS Score**: N/A (Estimated 7.5 - 8.5 High Severity based on data exfiltration potential)
- **CWE**: CWE-1027 (Inadequate Enclosure), CWE-918 (Server-Side Request Forgery - Indirect), CWE-284 (Improper Access Control)
## Affected Systems
- **Products**: AI Agents utilizing Third-Party Connectors.
- **Versions**: Specifically OpenAI (ChatGPT) and Anthropic (Claude) connector ecosystems.
- **Configurations**: Enterprise environments integrating external SaaS tools (e.g., Slack, Gmail, Dropbox, Zoom) via Model Context Protocol (MCP) or native connector directories.
## Vulnerability Description
The vulnerability stems from "Scope Creep" and "Hidden Data Sub-processing" within the AI connector ecosystem. Unlike traditional APIs with static permissions, AI connectors are dynamic:
1. **Functionality Inflation**: Tools within connectors are added or modified without user re-authorization. PromptArmor observed a 37% change rate in connectors over six weeks, with some (like Dropbox) expanding from zero to four destructive tools (delete capabilities) silently.
2. **Lethal Trifecta**: The integration creates a nexus of private data access, exposure to untrusted external content (e.g., email bodies), and communication paths.
3. **Nested AI Processing**: Connectors often act as gateways to additional AI sub-processors. A request sent to a specific connector (e.g., Zoom) may be forwarded to multiple third-party AI model families and sub-processors not originally vetted by the enterprise security team.
## Exploitation
- **Status**: PoC available (demonstrated by PromptArmor regarding email-based exfiltration).
- **Complexity**: Medium
- **Attack Vector**: Network / Indirect (Prompt Injection)
## Impact
- **Confidentiality**: High (Sensitive legal/financial data can be exfiltrated to unauthorized third-party AI sub-processors).
- **Integrity**: Medium to High (Increase in "write" and "destructive" tools allows agents to modify or delete cloud data).
- **Availability**: Low to Medium (Potential for unauthorized deletion of files).
## Remediation
### Patches
- No direct software patch exists as this is a supply-chain and architectural risk.
- Users should move to **Fixed-Version MCP Servers** where possible rather than dynamic marketplace connectors.
### Workarounds
- **Strict Scoping**: Implement the principle of least privilege by using service accounts with read-only access where write access is not mission-critical.
- **Egress Filtering**: Restrict the AI agent's ability to call external URLs or unknown endpoints.
- **Manual Review**: Periodically audit the "Tool Definitions" within active connectors to check for new or modified functions.
## Detection
- **Indicators of Compromise**: Unexpected API calls to third-party AI endpoints (e.g., OpenAI/Anthropic calling Zoom or specialized AI sub-contractors); sudden increases in data volume sent via connectors.
- **Detection Methods**:
- Enable **CloudTrail/Audit Logs** for integrated SaaS platforms to monitor for unauthorized "Write" or "Delete" actions performed by the AI service account.
- Use AI security posture management (AISPM) tools to track connector permission changes.
## References
- PromptArmor Research: hxxps[://]promptarmor[.]com/
- Anthropic Connector Documentation: hxxps[://]support[.]claude[.]ai/en/articles/11176164-use-connectors-to-extend-claude-s-capabilities
- OpenAI Tool/Connector Guides: hxxps[://]developers[.]openai[.]com/api/docs/guides/tools-connectors-mcp