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Langroid: SQLChatAgent dangerous-function blocklist can be bypassed with quoted or schema-qualified pg_read_file calls (CVE-2026-54760)

0
Critical
Published: 07/06/2026 (07/06/2026, 20:39:02 UTC)
Source: GCVE Database
Product: langroid

Description

# SQLChatAgent `_validate_query` dangerous-pattern regex is bypassable via quoted/commented/qualified function names ## Summary The `SQLChatAgent` SQL-injection mitigation, with default `allow_dangerous_operations=False`, combines a raw-text regex blocklist (`_DANGEROUS_SQL_PATTERNS`) with a `sqlglot` SELECT-only statement allowlist. The blocklist entries that target callable functions require the function name to be immediately followed by `\s*\(`. PostgreSQL accepts the same call with the name separated from `(` by a quoted identifier, an inline comment, or schema qualification. These forms evade the regex, still parse as `SELECT`, and execute the same PostgreSQL function. This restores the `pg_read_file` server-side file-read primitive that the prior CVE-2026-25879 / GHSA-pmch-g965-grmr fix was meant to block: the parent advisory fixed a missing `pg_read_file` blocklist entry, while this report shows that the added regex is bypassable. ## Affected Code Tested against current `main` commit: `6e8e7b2bb23ec04c1c25be479f16b8cc9a4f8796` The current source still contains: ```python re.compile(r"\bpg_(read|stat|ls|current_logfile)[A-Za-z0-9_]*\s*\(", re.IGNORECASE) ``` `_validate_query` checks the raw query against `_DANGEROUS_SQL_PATTERNS`, then parses with `sqlglot` and allows `SELECT` statements. The dangerous-call check is raw text, not normalized AST function-name matching. ## Root Cause The current mitigation treats dangerous PostgreSQL function calls as a raw-text regex problem. The regex requires the `pg_...` function token to be followed directly by optional whitespace and `(`, but PostgreSQL accepts equivalent calls through quoted identifiers, comments, and schema-qualified names. Because `_validate_query` only uses `sqlglot` to enforce the top-level statement type, those normalized function names are never checked after parsing. ## Auth Boundary The boundary is the default `SQLChatAgent` safety policy between attacker-influenced SQL generation and database operations that can read server-side files. With `allow_dangerous_operations=False`, a user or prompt that influences generated SQL should not be able to bypass the guard and execute PostgreSQL file-read functions such as `pg_read_file`. This is not a new unauthenticated endpoint or product-wide SQL injection; it applies when untrusted user content can influence SQLChatAgent's generated SQL. ## Reproduction The local harness uses the current `sql_chat_agent.py`, extracts the real shipped dangerous regex list, validates the queries with real `sqlglot==30.8.0`, then executes the accepted bypasses against a local throwaway PostgreSQL 16 container. Transcript excerpt: ```text CONTROL "SELECT pg_read_file('/etc/passwd')" -> REJECTED: matches '\\bpg_(read|stat|ls|current_logfile)[A-Za-z0-9_]*\\s*\\(' BYPASS 'SELECT "pg_read_file"(\'/etc/passwd\')' -> ALLOWED (validator returned None -> would execute) BYPASS "SELECT pg_read_file/**/('/etc/passwd')" -> ALLOWED (validator returned None -> would execute) BYPASS 'SELECT pg_catalog."pg_read_file"(\'/etc/passwd\')' -> ALLOWED (validator returned None -> would execute) === Part B: real PostgreSQL execution of the bypass === connected; is_superuser=t executed bypass 'SELECT "pg_read_file"(\'<file>\')' -> file contents returned: 'LANGROID_SAFE_MARKER_...' executed bypass "SELECT pg_read_file/**/('<file>')" -> file contents returned: 'LANGROID_SAFE_MARKER_...' executed bypass 'SELECT pg_catalog."pg_read_file"(\'<file>\')' -> file contents returned: 'LANGROID_SAFE_MARKER_...' RESULT: VULNERABLE ``` The control query is blocked by the current regex, while all three equivalent PostgreSQL forms are allowed by the validator and return the mounted proof file contents from a real PostgreSQL server. The `LANGROID_SAFE_MARKER_...` value is a harmless marker generated inside the throwaway local container for this proof. ## Impact On a deployment using `SQLChatAgent` against PostgreSQL with a role able to call `pg_read_file` (superuser, or a role granted `pg_read_server_files`), an attacker who can influence LLM-generated SQL can coerce the agent into emitting one of the obfuscated queries and read files accessible to the PostgreSQL server process through `pg_read_file`. This is the same impact and precondition shape as the published `pg_read_file` advisory, but it targets the bypassability of the current regex-based fix rather than the pre-fix absence of a `pg_read_file` block. Severity: High by parity with the published parent advisory; not Critical. CWE-184 leading to server-side file read. ## Suggested Fix Do not rely on raw-text regex matching for dangerous-call detection. After the existing `sqlglot` parse, walk the AST and reject any function invocation whose normalized, unquoted, schema-stripped, case-folded name is in a dangerous set such as `pg_read_file`, `pg_read_binary_file`, `pg_ls_dir`, `pg_stat_file`, `lo_import`, `lo_export`, `load_file`, or `load_extension`. Also

CVSS v4.0

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
None
User Interaction
None
Vuln. Confidentiality
High
Vuln. Integrity
High
Vuln. Availability
High
Subsq. Confidentiality
None
Subsq. Integrity
None
Subsq. Availability
None
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

Affected software

PyPIghsa
langroid
Affected versions
<0.65.1

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/06/2026, 23:14:30 UTC

Technical Analysis

Langroid's SQLChatAgent uses a regex-based blocklist combined with a sqlglot SELECT-only allowlist to prevent dangerous SQL operations by default. However, the regex requires the function name to be immediately followed by optional whitespace and an opening parenthesis, which PostgreSQL does not require. PostgreSQL allows function calls with quoted identifiers, inline comments, or schema qualifications, which bypass the regex check. This enables attackers who can influence SQL generation to execute functions like pg_read_file and read server-side files, despite the mitigation. The vulnerability was demonstrated against PostgreSQL 16 and affects Langroid versions before 0.65.1. The root cause is reliance on raw-text regex rather than normalized AST function name checks after parsing.

Potential Impact

An attacker able to influence SQL generated by SQLChatAgent on a PostgreSQL database with roles permitted to call pg_read_file or similar functions can bypass the regex-based filter and read arbitrary files accessible to the database server process. This leads to unauthorized disclosure of server-side files, which can include sensitive information. The impact severity is high, consistent with the parent advisory for pg_read_file misuse. This is not a new unauthenticated endpoint or general SQL injection but a bypass of an existing mitigation in a specific SQL generation context.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. The suggested fix is to avoid relying on raw-text regex for dangerous function detection. Instead, after parsing SQL with sqlglot, the AST should be walked to reject any function invocation whose normalized, unquoted, schema-stripped, and case-folded name matches a dangerous set (e.g., pg_read_file, pg_read_binary_file, pg_ls_dir, pg_stat_file, lo_import, lo_export, load_file, load_extension). Until an official fix is released, users should be cautious about allowing untrusted input to influence SQLChatAgent-generated queries when using PostgreSQL with elevated privileges.

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Technical Details

Gcve Source
db.gcve.eu
Osv Id
GHSA-6xc5-4r68-67fc
Osv Schema Version
1.4.0
Aliases
["CVE-2026-54760"]
Ecosystems
["PyPI"]
Database Specific Severity
CRITICAL
Cvss Version
4.0

Threat ID: 6a4c340527e9c797195f64bd

Added to database: 07/06/2026, 23:02:29 UTC

Last enriched: 07/06/2026, 23:14:30 UTC

Last updated: 07/31/2026, 19:22:59 UTC

Views: 33

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