CVE-2024-48919 (GCVE-0-2024-48919)
Vulnerability from cvelistv5 – Published: 2024-10-22 20:58 – Updated: 2024-10-23 14:49
VLAI
EPSS
VEX
Title
RCE via Prompt Injection Into Cursor's Terminal Cmd-K
Summary
Cursor is a code editor built for programming with AI. Prior to Sep 27, 2024, if a user generated a terminal command via Cursor's Terminal Cmd-K/Ctrl-K feature and if the user explicitly imported a malicious web page into the Terminal Cmd-K prompt, an attacker with control over the referenced web page could have a significant chance of influencing a language model to output arbitrary commands for execution in the user's terminal. This scenario would require the user explicitly opt-in to including the contents of a compromised webpage, and it would require that the attacker display prompt injection text in the the contents of the compromised webpage.
A server-side patch to not stream back newlines or control characters was released on September 27, 2024, within two hours of the issue being reported. Additionally, Cursor 0.42 includes client-side mitigations to prevent any newline or control character from being streamed into the terminal directly. It also contains a new setting, `"cursor.terminal.usePreviewBox"`, which, if set to true, streams the response into a preview box whose contents then have to be manually accepted before being inserted into the terminal. This setting is useful if you're working in a shell environment where commands can be executed without pressing enter or any control character. The patch has been applied server-side, so no additional action is needed, even on older versions of Cursor. Separately, Cursor's maintainers also recommend, as best practice, to only include trusted pieces of context in prompts.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-23 14:45 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
GitHub_M
CNA
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/getcursor/cursor/security/advi… | x_refsource_CONFIRM |
Impacted products
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"vendor": "cursor",
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}
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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}
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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