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{"bugzilla": {"description": "awswrangler: awswrangler: Privilege escalation via crafted column name in Apache Iceberg write component", "id": "2565298", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2565298"}, "csaw": false, "cvss3": {"cvss3_base_score": "7.9", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:L", "status": "draft"}, "cwe": "CWE-89", "details": ["Improper neutralization of quoting syntax in SQL identifier construction in the Apache Iceberg write component in AWS SDK for pandas (also published as awswrangler) 3.5.2 through 3.17.0 might allow an authenticated remote user with permission to modify AWS Glue Data Catalog metadata to read any table that a separate, more privileged principal can access and write to the table that principal is updating via a crafted column name.\nTo remediate this issue, users should upgrade to version 3.17.1 or later.", "A flaw was found in AWS SDK for pandas (awswrangler). An authenticated remote user with permissions to modify AWS Glue Data Catalog metadata can supply a crafted column name to exploit improper quoting syntax neutralization when SQL identifiers are constructed in the Apache Iceberg write component. This vulnerability allows the attacker to read tables accessible to a more privileged user and modify tables being updated by that user."], "name": "CVE-2026-119301", "public_date": "2026-11-02T16:34:53Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-119301\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-119301\nhttps://aws.amazon.com/security/security-bulletins/2026-161-aws/\nhttps://github.com/aws/aws-sdk-pandas/releases/tag/3.17.1\nhttps://github.com/aws/aws-sdk-pandas/security/advisories/GHSA-g8fh-6w6x-mhqf"], "statement": "This vulnerability is rated as having an Important severity because it enables cross-principal data access and unauthorized modifications across AWS Glue environments. In deployments utilizing the AWS SDK for pandas to interact with Apache Iceberg tables, an attacker with catalog modification privileges can manipulate table definitions to execute arbitrary SQL commands within the context of a higher-privileged user. While exploitation requires existing catalog write permissions and an execution triggered by an administrative principal, the resulting escalation across security boundaries presents a significant risk to data integrity and confidentiality.", "threat_severity": "Important"}