Vulnerability-Lookup

CVE-2026-50548 (GCVE-0-2026-50548)

Vulnerability from cvelistv5 – Published: 2026-06-25 18:47 – Updated: 2026-06-25 19:02

Title

Cursor Desktop sandbox escape via agent-controlled working directory

Summary

Cursor is a code editor built for programming with AI. Prior to 3.0, Cursor runs agent terminal commands in a sandbox by default, and the sandbox grants write access to the command's working directory. A flaw was identified in how the agent could modify the working_directory parameter, which could cause the sandbox to include writable paths outside the intended workspace. A malicious agent could set working_directory to a sensitive location and write arbitrary files outside the workspace under the user's privileges. This enables non-sandboxed Remote Code Execution — for example by overwriting the cursorsandbox helper so later commands run unsandboxed — with no user interaction beyond a benign prompt. This vulnerability is fixed in 3.0.

Severity

9.3 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-06-25 19:02 UTC

CWE

CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Assigner

GitHub_M mitre root

References

1 reference

URL	Tags
https://github.com/cursor/cursor/security/advisor…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version	CPE status
cursor	cursor	Affected: < 3.0	guessed

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2026-50548

Vulnerability from fkie_nvd - Published: 2026-06-25 19:16 - Updated: 2026-06-26 16:51

Severity

9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Summary

References

	URL	Tags
	security-advisories@github.com	https://github.com/cursor/cursor/security/advisories/GHSA-3p48-7v9f-v5cw	Vendor Advisory

Impacted products

	Vendor	Product	Version
	anysphere	cursor	*

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "cursor",
          "vendor": "cursor",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 3.0"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "configurations": [
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              "versionEndExcluding": "3.0",
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            }
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    {
      "lang": "en",
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    }
  ],
  "id": "CVE-2026-50548",
  "lastModified": "2026-06-26T16:51:25.290",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
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          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
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          "userInteraction": "NONE",
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          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
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.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.