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Graph/untrusted-predicate-sql-injection

AntiPattern

Untrusted Predicate Injection

untrusted-predicate-sql-injection

Untrusted input gets turned directly into SQL predicate logic (or encrypted column comparisons), so placeholders or equality checks don’t stop attackers from altering semantics—leading to injected WHERE clauses like or 1 = 1 and broken indexing expectations.

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Updated7/28/2026

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30 linked nodes

MATCHESSolution

Added an early clause in isReplayableMigration's per-statement check. Tension: wrapping `DROP TABLE` in BEGIN/COMMIT does NOT launder it past the classifier. Outcome: Also gated the script's top-level DB-connect side effects behind an IS_ENTRYPOINT check.

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the existing validate.ts had four hand-built UNION ALL queries hardcoding q/a/c/kr — For the SQL refactor itself. Tension: each query has different per-table column projections. Outcome: The cleanest pattern.

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either (a) drop the param from the array when the clause is omitted — when building SQL with optional clauses. Tension: requires dynamic position recomputation, error-prone. Outcome: (b) is safer for most cases.

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You want to use the "NULL AS" parameter to COPY. — If you really need to distinguish between ,, and ,"",. Tension: you will need to not use CSV, read the quotes in and post-process your data. Outcome: "NULL AS" is likely the easier path.

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`injected` is not the solution — there is a projection type of `injected`. Tension: it requires the query to provide the values to replace the placeholders in the location template. Outcome: it won't automatically get them from S3 prefixes.

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More complex, multi-statement queries, or things like `insert..on conflict` and `merge`.

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You need dynamic SQL to do this properly. — in PostgreSQL, I am trying to have SQL which orders by multiple columns. Tension: You cannot switch those per value of a column or parameter input in a prepared statement.

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The only ways to avoid the problem are — define the view with the default `security_invoker = off`. Tension: create a view that only selects the "allowed" columns. Outcome: The only ways to avoid the problem are.

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You'll have to add policies that allow the inserting role unconditional updates and selects: — So it is the `FOR SELECT` policy and the (missing) `FOR UPDATE` policy that give you trouble here. Outcome: CREATE POLICY inserter_may_select ON contacts FOR SELECT TO inserter USING (TRUE); CREATE POLICY inserter_may_update ON contacts FOR UPDATE TO inserter USING (TRUE);.

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I like doing subqueries based on the business id instead of trying to retrieve the newly inserted id val. — INSERT INTO Course_Content(section_title) values ('A pretty awesome crash course');. Tension: you can't insert directly into. Outcome: INSERT INTO Course_Content (section_title, content_id) values ('A pretty awesome crash course', (SELECT id FROM Courses where title = '')).

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Avoid patching pandas directly; instead validate and sanitize/whitelist user input in application code before calling query() to prevent injection while minimizing long-term maintenance and compatibility risks.

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Do not pass untrusted user input to `DataFrame.query()` (treat it as unsafe as `eval()`); instead use safe filtering approaches or restrict inputs to trusted string literals/validated expressions rather than attempting to patch/override `query()`.

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Use blind indexing: store an additional column containing a salted secure hash of the plaintext (hash computed at insert via trigger or in application) and query by hashing the input and comparing against the hash column for exact matches. For more complex pattern searches (LIKE/substring), use specialized encrypted-search approaches/third-party solutions since they require advanced indexing structures beyond basic hashing.

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Marking a function as direct only disqualifies it from being run in those situations — trigger programs, check constraints, view definitions, etc. Outcome: it has to be directly in the SQL code that you have in your program.

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Avoid `select('*')` and instead explicitly select only the allowed columns (e.g., `select('public_col1, public_col2')`), or otherwise restrict exposure via backend/database controls.

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Solution: Always use `prepared` statements to mitigate this risk. — `$stmt = $db->prepare("SELECT image_file01 FROM test WHERE User=? LIMIT 1");. Tension: You're currently inserting the `username` directly from the `session` into the `SQL` query. Outcome: $stmt->bind_param("s", $user);.

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must be examined carefully because it can contain false positives — OWASP dependency check tool. Tension: false positives (very common with the OWASP tool) and "disputed" vulnerabilities. Outcome: must be examined carefully.

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Create a controlled DSL, validate allowed fields and operators, and build the query back using parameterization

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use `Seqlelize.Op.eq` to prevent SQL injection — I'm using nodejs, express and sequlize to display a form and save it to a databse. Tension: or should some other technique (such as normalize) also be used? Outcome: Also is there something else I need to watch out for?

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Or you can increment value in one query — for READ_COMMITTED. Tension: There are solutions for READ_COMMITTED:.

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if you use derived queries.

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Ensure the parameter type matches the indexed column (use VARCHAR parameter types or explicitly CAST/CONVERT the parameter/column to VARCHAR in the predicate). After type alignment, the query should use the nonclustered index and revert to the lighter, seek-based locking behavior.

MATCHESSolution

StringBuilder sql = new StringBuilder ( "SELECT * FROM user WHERE username = ? " ) ; — One option is simple string manipulation. Your SQL command is just text in Java. Tension: if ( Objects.nonNull ( email ) ) { sql.append ( " AND email = ? " ) ; }. Outcome: PreparedStatement stm = conn.prepareCall( sql.toString() );.

MATCHESSolution

you can pass any data type to it, explicitly — If you're creating fields from identifiers manually. Tension: avoid jOOQ's auto-discovering field types from JDBC `DatabaseMetaData`. Outcome: you can avoid jOOQ's auto-discovering field types from JDBC `DatabaseMetaData` by using `ResultQuery.coerce()`.

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you can use subqueries like this: — if you plan to remove that to support non-unique names. Tension: Although this can be a bit slow, so make sure you have the indexes setup.

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false positives are cheap (dedup catches them), false negatives are expensive (lost knowledge) — Abstract types like Pattern need 3-4 shot examples in the prompt. Tension: When uncertain, extract it. Outcome: downstream dedup will handle false positives.

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legacy-imported nodes without `createdAt`. Tension: Relying on implicit null propagation means correctness depends on Cypher's null semantics in two places instead of one. Outcome: Coerce the string in the WHERE clause + explicit null guard so legacy-imported nodes without `createdAt` aren't accidentally mass-deleted on the next run:.

MATCHESSolution

In server-to-server callers of signUpEmail, do an explicit pre-flight email + username uniqueness check against the `user` table before invoking signUpEmail — server-to-server callers of signUpEmail. Tension: Bypassing the enumeration mitigation is correct on internal-secret-gated routes because there is no untrusted caller to defend against. Outcome: return a clean 409 on collision. Add a belt-and-braces post-call check: SELECT user.id WHERE id = result.user.id — if the row doesn't exist, refuse to use the id.

MATCHESSolution

Three techniques applied together: — any enforcement module (DOM assertion, CSP checker, sanitizer) that must reference the same patterns its surrounding CI gate scans for. Tension: split the forbidden literal at any point that breaks the contiguous match without altering the runtime string value.

MATCHESSolution

Coerce the nullable property to a non-null sentinel before the string operation — NOT coalesce(n.extractionSource, '') STARTS WITH $prefix AND (trustedSource OR n.reinforcementCount > 0). Tension: `coalesce(null, '')` is '', `'' STARTS WITH 'quarantined:'` is FALSE, `NOT FALSE` is TRUE. Outcome: the guard behaves as intended for unstamped nodes.

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