🛡️ Sentinel: [CRITICAL] Fix SQL injection in PostgresAdapter#823
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🛡️ Sentinel: [CRITICAL] Fix SQL injection in PostgresAdapter#823
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🚨 Severity: CRITICAL 💡 Vulnerability: SQL injection vulnerability in `PostgresAdapter` due to dynamic identifier interpolation in raw f-strings. 🎯 Impact: High. An attacker could potentially inject arbitrary SQL or bypass intended queries via unvalidated column mapping. 🔧 Fix: Used `psycopg.sql` variables (SQL, Identifier) and `_validate_column_name` regex validation logic to guarantee safe construction. ✅ Verification: Ran unit tests via `pytest tests/models/test_postgres_adapter.py`. Co-authored-by: georgi <19498+georgi@users.noreply.github.com>
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🚨 Severity: CRITICAL 💡 Vulnerability: SQL injection vulnerability in `PostgresAdapter` due to dynamic identifier interpolation in raw f-strings. 🎯 Impact: High. An attacker could potentially inject arbitrary SQL or bypass intended queries via unvalidated column mapping. 🔧 Fix: Used `psycopg.sql` variables (SQL, Identifier) and `_validate_column_name` regex validation logic to guarantee safe construction. ✅ Verification: Ran unit tests via `pytest tests/models/test_postgres_adapter.py`. Co-authored-by: georgi <19498+georgi@users.noreply.github.com>
🚨 Severity: CRITICAL 💡 Vulnerability: SQL injection vulnerability in `PostgresAdapter` due to dynamic identifier interpolation in raw f-strings. 🎯 Impact: High. An attacker could potentially inject arbitrary SQL or bypass intended queries via unvalidated column mapping. 🔧 Fix: Used `psycopg.sql` variables (SQL, Identifier) and `_validate_column_name` regex validation logic to guarantee safe construction. ✅ Verification: Ran unit tests via `pytest tests/models/test_postgres_adapter.py`. Co-authored-by: georgi <19498+georgi@users.noreply.github.com>
🚨 Severity: CRITICAL 💡 Vulnerability: SQL injection vulnerability in `PostgresAdapter` due to dynamic identifier interpolation in raw f-strings. 🎯 Impact: High. An attacker could potentially inject arbitrary SQL or bypass intended queries via unvalidated column mapping. 🔧 Fix: Used `psycopg.sql` variables (SQL, Identifier) and `_validate_column_name` regex validation logic to guarantee safe construction. ✅ Verification: Ran unit tests via `pytest tests/models/test_postgres_adapter.py`. Co-authored-by: georgi <19498+georgi@users.noreply.github.com>
🚨 Severity: CRITICAL 💡 Vulnerability: SQL injection vulnerability in `PostgresAdapter` due to dynamic identifier interpolation in raw f-strings. 🎯 Impact: High. An attacker could potentially inject arbitrary SQL or bypass intended queries via unvalidated column mapping. 🔧 Fix: Used `psycopg.sql` variables (SQL, Identifier) and `_validate_column_name` regex validation logic to guarantee safe construction. ✅ Verification: Ran unit tests via `pytest tests/models/test_postgres_adapter.py`. Co-authored-by: georgi <19498+georgi@users.noreply.github.com>
🚨 Severity: CRITICAL 💡 Vulnerability: SQL injection vulnerability in `PostgresAdapter` due to dynamic identifier interpolation in raw f-strings. 🎯 Impact: High. An attacker could potentially inject arbitrary SQL or bypass intended queries via unvalidated column mapping. 🔧 Fix: Used `psycopg.sql` variables (SQL, Identifier) and `_validate_column_name` regex validation logic to guarantee safe construction. ✅ Verification: Ran unit tests via `pytest tests/models/test_postgres_adapter.py`. Co-authored-by: georgi <19498+georgi@users.noreply.github.com>
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🚨 Severity: CRITICAL
💡 Vulnerability: SQL injection vulnerability in
PostgresAdapterdue to dynamic identifier interpolation in raw f-strings.🎯 Impact: High. An attacker could potentially inject arbitrary SQL or bypass intended queries via unvalidated column mapping.
🔧 Fix: Used
psycopg.sqlvariables (SQL,Identifier) and_validate_column_nameregex validation logic to guarantee safe construction.✅ Verification: Ran unit tests via
pytest tests/models/test_postgres_adapter.py.PR created automatically by Jules for task 14404075670817611442 started by @georgi