CWE-1427— Improper Neutralization of Input Used for LLM Prompting
The product uses externally-provided data to build prompts provided to large language models (LLMs), but the way these prompts are constructed causes the LLM to fail to distinguish between user-supplied inputs and developer provided system directives.— MITRE CWE catalog
4 active CVEs classified under this weakness category. Sourced from NVD, GHSA, and vendor advisories. Full definition on MITRE →
CVEs classified under CWE-1427page 1 of 1
- CVE-2026-15077MEDIUMCVSS 4.3EG 4.32026-07-29
GitLab has remediated an issue in GitLab EE affecting all versions from 19.1 before 19.1.3 and 19.2 before 19.2.1 that under certain conditions could have allowed an authenticated user to access information from unauthorized projects due t…
- CVE-2026-18733HIGHCVSS 8.8EG 8.82026-08-03
A prompt injection vulnerability in the shell tool in Amazon Strands Agents Tools before 0.8.0 might allow remote actors to execute arbitrary operating system commands on the agent's host via a crafted prompt that sets the non_interactive …
- CVE-2026-44688HIGHCVSS 8.8EG 8.82026-06-18
In Eclipse Theia versions prior to 1.71.0, the AI chat agent processed workspace file and directory names as part of its prompt context without distinguishing them from system instructions. An attacker could craft a malicious repository wi…
- CVE-2026-46580HIGHCVSS 8.8EG 8.82026-06-18
In Eclipse Theia versions prior to 1.71.0, files matching the pattern .prompts/*.prompttemplate in a workspace were automatically loaded and could override or extend the AI agent's system prompts. An attacker could craft a malicious reposi…
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