# CVE-2026-82580: ash-project ash_ai information disclosure in error messages

Source: https://junglewise.ai/threats/cve-2026-82580-ash-project-ash-ai-information-disclosure-in-error-messages  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-08-31. Updated: 2026-09-25  
License: CC BY 4.0 with a link back

CVE-2026-82580 · Severity: info · CVSS 3.7 · Published 2026-08-31

ash_ai is an Elixir library that powers AI-driven chat functionality, allowing applications to execute tools and relay results back to users. When a tool execution fails, unfiltered error messages containing sensitive internals (database constraints, query fragments, policy details) are exposed directly to chat users, risking disclosure of implementation details and data leakage.

Technologies: [Ash-Project Ash Ai](https://junglewise.ai/threats/technologies/ash-ai). Vendors: [Ash-Project](https://junglewise.ai/threats/vendors/ash-project).

## Quick answers

**Is CVE-2026-82580 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-82580 being exploited in the wild.

**How severe is CVE-2026-82580?** Informational severity, with a CVSS score of 3.7, published 31 August 2026.

**Which products and versions are affected?** Ash-Project Ash Ai 0.6.0 to before 1.0.0.

**Is there a fix for CVE-2026-82580?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**How is CVE-2026-82580 attacked?** It is attacked over the network, in a software library.

**Am I affected by CVE-2026-82580?** Check whether you run Ash-Project Ash Ai at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

This is an information disclosure vulnerability in the AshAi.ToolLoop and AshAi.Tools modules. When a tool callback or lifecycle hook raises an exception, the exception message is serialized verbatim via Exception.message/1 into the tool-result content, appended to the conversation history, emitted as a {:tool_result, ...} stream event, and sent to the language model—which typically relays it to the end user. No filtering occurs, so sensitive details (database errors, adapter exceptions, query fragments, policy/validation internals) leak directly. A chat user who can craft tool arguments to trigger an exception receives raw internal error text. The fix applies a safe error formatter consistent with other tool error handling.

## Affected products

- ash-project ash_ai 0.6.0 to before 1.0.0

## Timeline

- 2026-08-31: disclosed

## References

- [https://repo.hex.pm/](https://repo.hex.pm/)
- [https://github.com/](https://github.com/)

## Related threats

- [ash-project ash_ai sensitive information disclosure in error messages](https://junglewise.ai/threats/cve-2026-119613-generation-of-error-message-containing-sensitive-information)
- [Ash AI tool loop infinite loop via prompt injection](https://junglewise.ai/threats/cve-2026-82579-ash-ai-tool-loop-infinite-loop-via-prompt-injection)
- [ash-project ash_ai authorization bypass in identity-configured tools](https://junglewise.ai/threats/cve-2026-82564-ash-project-ash-ai-authorization-bypass-in-identity-configured)
- [ash-project ash_ai sensitive information disclosure in error messages](https://junglewise.ai/threats/cve-2026-75760-ash-project-ash-ai-sensitive-information-disclosure-in-error)
- [ash-project ash_ai origin validation bypass in MCP server](https://junglewise.ai/threats/cve-2026-81315-ash-project-ash-ai-origin-validation-bypass-in-mcp-server)