adf-ml-analytics
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Audited by Socket on Sep 20, 2026
1 alert found:
SecuritySecurityreferences/sql-archival-patterns.md
MEDIUMSecurityMEDIUM
references/sql-archival-patterns.md
The fragment is primarily legitimate Azure SQL ML and archival automation, with no clear malicious payload or obfuscation. Security concerns are significant: unsafe pickle deserialization, SQL injection exposure from unvalidated dynamic archive parameters, broad sensitive-data export, and a caller-controlled HTTP logging destination. Restrict model and pipeline parameter write access, validate and quote identifiers, parameterize values, constrain the logging endpoint, and enforce storage encryption, ACLs, and retention.
Confidence: 94%Severity: 72%
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