CVE-2026-14898 OpenAI CVE debrief

Who should care

Users of the OpenAI Codex desktop app for macOS, especially those with access to sensitive information, should be aware of this vulnerability and take necessary precautions. This includes inventorying and assessing the use of OpenAI Codex desktop app for macOS within their organization, restricting access to sensitive information and API keys within Codex sessions, and implementing monitoring to detect and respond to potential exploitation attempts.

Technical summary

The OpenAI Codex desktop app for macOS renders remote images from Markdown in model responses. An attacker can place an indirect prompt injection in content processed by Codex, inducing the model to construct a remote image URL containing sensitive data. The app automatically fetches this URL, sending the embedded data to an attacker-controlled server without a separate user click. Successful exploitation could exfiltrate secrets and other information accessible in the Codex session, including API keys, source code, and data returned by connected tools. No direct integrity or availability impact was demonstrated.

Defensive priority

Medium

Recommended defensive actions

• Inventory and assess the use of OpenAI Codex desktop app for macOS within your organization.
• Restrict access to sensitive information and API keys within Codex sessions.
• Implement monitoring to detect and respond to potential exploitation attempts.
• Apply vendor remediation as available.
• Consider compensating controls, such as network monitoring and filtering.
• Review relevant logs for exposed assets that need extra review.
• Track exceptions and retest remediated assets.

Evidence notes

The CVE record was published on 2026-07-06T20:16:30.580Z and last modified on 2026-07-07T16:16:37.877Z. The NVD entry is currently Awaiting Analysis. This vulnerability affects the OpenAI Codex desktop app for macOS, which renders remote images from Markdown in model responses. An attacker can place an indirect prompt injection in content processed by Codex, inducing the model to construct a remote image URL containing sensitive data. The app automatically fetches this URL, sending the embedded data to an attacker-controlled server without a separate user click. Successful exploitation could exfiltrate secrets and other information accessible in the Codex session, including API keys, source code, and data returned by connected tools.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.