{"id":"GHSA-fprp-p869-w6q2","summary":"LangChain vulnerable to code injection","details":"In LangChain through 0.0.131, the `LLMMathChain` chain allows prompt injection attacks that can execute arbitrary code via the Python `exec()` method.","aliases":["CVE-2023-29374","PYSEC-2023-18"],"modified":"2025-02-12T18:46:17.038098Z","published":"2023-04-05T03:30:17Z","database_specific":{"nvd_published_at":"2023-04-05T02:15:00Z","cwe_ids":["CWE-74","CWE-94"],"severity":"CRITICAL","github_reviewed":true,"github_reviewed_at":"2023-04-05T19:39:41Z"},"references":[{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2023-29374"},{"type":"WEB","url":"https://github.com/hwchase17/langchain/issues/1026"},{"type":"WEB","url":"https://github.com/hwchase17/langchain/issues/814"},{"type":"WEB","url":"https://github.com/hwchase17/langchain/pull/1119"},{"type":"PACKAGE","url":"https://github.com/langchain-ai/langchain"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/langchain/PYSEC-2023-18.yaml"},{"type":"WEB","url":"https://twitter.com/rharang/status/1641899743608463365/photo/1"}],"affected":[{"package":{"name":"langchain","ecosystem":"PyPI","purl":"pkg:pypi/langchain"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"last_affected":"0.0.131"}]}],"versions":["0.0.1","0.0.10","0.0.100","0.0.101","0.0.101rc0","0.0.102","0.0.102rc0","0.0.103","0.0.104","0.0.105","0.0.106","0.0.107","0.0.108","0.0.109","0.0.11","0.0.110","0.0.111","0.0.112","0.0.113","0.0.114","0.0.115","0.0.116","0.0.117","0.0.118","0.0.119","0.0.12","0.0.120","0.0.121","0.0.122","0.0.123","0.0.124","0.0.125","0.0.126","0.0.127","0.0.128","0.0.129","0.0.13","0.0.130","0.0.131","0.0.14","0.0.15","0.0.16","0.0.17","0.0.18","0.0.19","0.0.2","0.0.20","0.0.21","0.0.22","0.0.23","0.0.24","0.0.25","0.0.26","0.0.27","0.0.28","0.0.29","0.0.3","0.0.30","0.0.31","0.0.32","0.0.33","0.0.34","0.0.35","0.0.36","0.0.37","0.0.38","0.0.39","0.0.4","0.0.40","0.0.41","0.0.42","0.0.43","0.0.44","0.0.45","0.0.46","0.0.47","0.0.48","0.0.49","0.0.5","0.0.50","0.0.51","0.0.52","0.0.53","0.0.54","0.0.55","0.0.56","0.0.57","0.0.58","0.0.59","0.0.6","0.0.60","0.0.61","0.0.63","0.0.64","0.0.65","0.0.66","0.0.67","0.0.68","0.0.69","0.0.7","0.0.70","0.0.71","0.0.72","0.0.73","0.0.74","0.0.75","0.0.76","0.0.77","0.0.78","0.0.79","0.0.8","0.0.80","0.0.81","0.0.82","0.0.83","0.0.84","0.0.85","0.0.86","0.0.87","0.0.88","0.0.89","0.0.9","0.0.90","0.0.91","0.0.92","0.0.93","0.0.94","0.0.95","0.0.96","0.0.97","0.0.98","0.0.99","0.0.99rc0"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/04/GHSA-fprp-p869-w6q2/GHSA-fprp-p869-w6q2.json"}}],"schema_version":"1.9.0","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"},{"type":"CVSS_V4","score":"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"}]}