Evidence used
- No CISA KEV confirmation is currently recorded.
- EPSS is 0.51% for the current model date.
BlackTreeCVE IntelligenceEclipse Foundation · Eclipse Theia
High technical severity; prioritise exposed affected systems while verifying vendor guidance.
These OSV and GitHub advisory ranges apply only to the named package and ecosystem. A listed fixed version is not a universal product patch or proof that an update is installed.
| Ecosystem and package | Affected range | First fixed version | Evidence |
|---|---|---|---|
| npm@theia/ai-chat | < 1.71.0 | 1.71.0 | GitHub advisory ↗github reviewed aggregator · 19 Jun 2026 |
| npm@theia/ai-chat | SEMVER: introduced 0; fixed 1.71.0 | 1.71.0 | OSV record ↗aggregator derived · 10 Sep 2026 |
| npm@theia/ai-chat-ui | < 1.71.0 | 1.71.0 | GitHub advisory ↗github reviewed aggregator · 19 Jun 2026 |
| npm@theia/ai-chat-ui | SEMVER: introduced 0; fixed 1.71.0 | 1.71.0 | OSV record ↗aggregator derived · 10 Sep 2026 |
| npm@theia/ai-claude-code | < 1.71.0 | 1.71.0 | GitHub advisory ↗github reviewed aggregator · 19 Jun 2026 |
| npm@theia/ai-claude-code | SEMVER: introduced 0; fixed 1.71.0 | 1.71.0 | OSV record ↗aggregator derived · 10 Sep 2026 |
| npm@theia/ai-code-completion | < 1.71.0 | 1.71.0 | GitHub advisory ↗github reviewed aggregator · 19 Jun 2026 |
| npm@theia/ai-code-completion | SEMVER: introduced 0; fixed 1.71.0 | 1.71.0 | OSV record ↗aggregator derived · 10 Sep 2026 |
| npm@theia/ai-core | < 1.71.0 | 1.71.0 | GitHub advisory ↗github reviewed aggregator · 19 Jun 2026 |
| npm@theia/ai-core | SEMVER: introduced 0; fixed 1.71.0 | 1.71.0 | OSV record ↗aggregator derived · 10 Sep 2026 |
| npm@theia/ai-editor | < 1.71.0 | 1.71.0 | GitHub advisory ↗github reviewed aggregator · 19 Jun 2026 |
| npm@theia/ai-editor | SEMVER: introduced 0; fixed 1.71.0 | 1.71.0 | OSV record ↗aggregator derived · 10 Sep 2026 |
| npm@theia/ai-ide | < 1.71.0 | 1.71.0 | GitHub advisory ↗github reviewed aggregator · 19 Jun 2026 |
| npm@theia/ai-ide | SEMVER: introduced 0; fixed 1.71.0 | 1.71.0 | OSV record ↗aggregator derived · 10 Sep 2026 |
High technical severity; prioritise exposed affected systems while verifying vendor guidance.
Patch availableIn 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 with adversarial directory or file names that, when analyzed by the AI agent, would cause the agent to follow attacker-controlled instructions (indirect prompt injection). Combined with other AI chat features available in untrusted workspaces, this enabled attack chains leading to data exfiltration via Markdown image rendering or arbitrary command execution via task definitions.
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 with adversarial directory or file names that, when analyzed by the AI agent, would cause the agent to follow attacker-controlled instructions (indirect prompt injection). Combined with other AI chat features available in untrusted workspaces, this enabled attack chains leading to data exfiltration via Markdown image rendering or arbitrary command execution via task definitions.
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.
An attacker operating through local access may attempt exploitation when the stated preconditions are met. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
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 with adversarial directory or file names that, when analyzed by the AI agent, would cause the agent to follow attacker-controlled instructions (indirect prompt injection). Combined with other AI chat features available in untrusted workspaces, this enabled attack chains leading to data exfiltration via Markdown image rendering or arbitrary command execution via task definitions.
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.
An attacker operating through local access may attempt exploitation when the stated preconditions are met. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
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.
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NCommon Vulnerability Scoring System 4.0: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 18 Jun 2026 · Last source change 19 Jun 2026, 03:55 UTC · CWE-1427 · Improper Neutralization of Input Used for LLM Prompting
Core structured fields are present and their contributing authorities are shown above.
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.