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CVE-2026-119613

5.3 medium

Medium (5.3).

On this page
Generation of Error Message Containing Sensitive Information vulnerability in ash-project ash_ai allows a caller of an AshAi tool to read internal error details, including module names and data values, by making a tool call fail. AshAi.ToToolError gained an implementation for Ash.Error.Unknown.UnknownError that returns the error's error field as is, and AshAi.Tool.Errors.format/1 sends that text to MCP clients (tool calls and resource reads in AshAi.Mcp.Server) and to the model in AshAi.ToolLoop. Ash stores the full Exception.format/2 output of a raised exception, or inspect/1 of a bare {:error, term} return, in that field. A tool result that cannot be JSON-encoded raises a Protocol.UndefinedError whose text includes the inspected value, which can be a whole record with fields the tool never returns. None of these errors were logged. The fix logs them under an error id and returns only that id to the caller. This issue affects ash_ai: from 1.5.0 before 1.5.1.

Severity

CVSS 4.0

5.3 medium
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N
CWE
CWE-209 Generation of Error Message Containing Sensitive Information
OWASP Top 10
A10:2025 Mishandling of Exceptional Conditions
Published
Record from
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Versions

From the CNA's record in the CVE List.

ProductAffected
ash-project ash_aifrom 1.5.0 before 1.5.1

Attack patterns (CAPEC)

  • CAPEC-7 Blind SQL Injection Likelihood: High · Severity: High
  • CAPEC-54 Query System for Information Likelihood: High · Severity: Low
  • CAPEC-215 Fuzzing for application mapping Likelihood: High · Severity: Low
  • CAPEC-463 Padding Oracle Crypto Attack Severity: High

The attack patterns MITRE's CAPEC relates to this record's weaknesses, as MITRE names them. Credits.

References

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