# CVE-2026-75760: ash-project ash_ai sensitive information disclosure in error messages

Source: https://junglewise.ai/threats/cve-2026-75760-ash-project-ash-ai-sensitive-information-disclosure-in-error  
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-2026-75760 · Severity: info · CVSS 0 · Published 2026-08-31

AshAi is a library that integrates AI embedding providers into Ash applications. When an embedding provider call fails, the system was returning detailed error messages to users that inadvertently exposed sensitive information, including API keys, request URLs, and provider response details. An attacker can trigger failures by sending malformed or oversized content, causing the system to leak credentials and internal request state to anyone viewing the error message.

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-2026-75760 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-75760 being exploited in the wild.

**How severe is CVE-2026-75760?** Informational severity, with a CVSS score of 0, published 31 August 2026.

**Which products and versions are affected?** Ash-Project Ash Ai 0.1.0 to before 1.0.0.

**Is there a fix for CVE-2026-75760?** 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-2026-75760 attacked?** It is attacked over the network, in a software library.

**Am I affected by CVE-2026-75760?** 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

The vulnerability exists in AshAi.Changes.Vectorize, where failed embedding provider calls generate changeset errors that include the raw error term via string interpolation (An error occurred while generating embeddings: #{inspect(error)}). These error messages are rendered back to API clients by AshJsonApi and AshGraphql without sanitization. The embedding client's error struct can contain the request URL, provider response body, and—depending on the HTTP client implementation—the outbound Authorization header containing the provider API key. Attackers can trigger failures by submitting oversized or malformed vectorized content. The fix logs the raw error server-side and returns a generic, non-revealing error message to clients.

## Affected products

- ash-project ash_ai 0.1.0 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-project ash_ai information disclosure in error messages](https://junglewise.ai/threats/cve-2026-82580-ash-project-ash-ai-information-disclosure-in-error-messages)
- [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)
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- [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)
