{"id":"GHSA-mq3x-qgwx-3rfw","summary":"Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection","details":"### Impact\nThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file.\n\nSuccessful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data.\n\n### Patches\nUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch\n\n### Workarounds\nApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually.\n\n### References\nhttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/\n","aliases":["CVE-2023-2629"],"modified":"2026-08-24T00:35:26.385948093Z","published":"2023-05-11T20:41:24Z","database_specific":{"cwe_ids":["CWE-1236"],"severity":"HIGH","github_reviewed":true,"github_reviewed_at":"2023-05-11T20:41:24Z","nvd_published_at":"2023-05-10T16:15:10Z"},"references":[{"type":"WEB","url":"https://github.com/pimcore/customer-data-framework/security/advisories/GHSA-mq3x-qgwx-3rfw"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2023-2629"},{"type":"WEB","url":"https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803"},{"type":"PACKAGE","url":"https://github.com/pimcore/customer-data-framework"},{"type":"WEB","url":"https://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01"}],"affected":[{"package":{"name":"pimcore/customer-management-framework-bundle","ecosystem":"Packagist","purl":"pkg:composer/pimcore/customer-management-framework-bundle"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"3.3.9"}]}],"versions":["1.3.17","2.4.5","v1.0.0","v1.0.1","v1.1.0","v1.1.1","v1.10.0","v1.10.1","v1.11.0","v1.12.0","v1.12.1","v1.13.0","v1.13.1","v1.14.0","v1.14.1","v1.14.2","v1.14.3","v1.14.4","v1.2.0","v1.2.1","v1.2.2","v1.2.3","v1.2.4","v1.2.5","v1.2.6","v1.3.0","v1.3.1","v1.3.10","v1.3.11","v1.3.12","v1.3.13","v1.3.14","v1.3.15","v1.3.16","v1.3.18","v1.3.19","v1.3.2","v1.3.20","v1.3.21","v1.3.3","v1.3.4","v1.3.5","v1.3.6","v1.3.7","v1.3.8","v1.3.9","v1.4.0","v1.4.1","v1.4.10","v1.4.11","v1.4.12","v1.4.2","v1.4.3","v1.4.4","v1.4.5","v1.4.6","v1.4.7","v1.4.8","v1.4.9","v1.5.0","v1.5.1","v1.5.2","v1.5.3","v1.5.4","v1.5.5","v1.6.0","v1.6.1","v1.6.2","v1.6.3","v1.6.4","v1.6.5","v1.6.6","v1.6.7","v1.7.0","v1.7.1","v1.7.2","v1.7.3","v1.7.4","v1.8.0","v1.9.0","v1.9.1","v2.0.0","v2.0.1","v2.1.0","v2.2.0","v2.2.1","v2.3.0","v2.3.1","v2.3.2","v2.3.3","v2.4.0","v2.4.1","v2.4.2","v2.4.3","v2.4.4","v2.4.6","v2.4.7","v2.5.0","v2.5.1","v2.5.2","v2.5.3","v2.5.4","v2.5.5","v2.5.6","v2.5.7","v2.6.0","v2.6.1","v2.6.2","v3.0.0","v3.0.1","v3.0.2","v3.0.3","v3.1.0","v3.1.1","v3.2.0","v3.2.1","v3.2.10","v3.2.11","v3.2.12","v3.2.13","v3.2.14","v3.2.2","v3.2.3","v3.2.4","v3.2.5","v3.2.6","v3.2.7","v3.2.8","v3.2.9","v3.3.0","v3.3.1","v3.3.2","v3.3.3","v3.3.4","v3.3.5","v3.3.6","v3.3.7","v3.3.8"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/05/GHSA-mq3x-qgwx-3rfw/GHSA-mq3x-qgwx-3rfw.json"}}],"schema_version":"1.9.0","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"}]}