- 필수 기능
- 시작하기
- Glossary
- 표준 속성
- Guides
- Agent
- 통합
- 개방형텔레메트리
- 개발자
- Administrator's Guide
- API
- Datadog Mobile App
- CoScreen
- Cloudcraft
- 앱 내
- 서비스 관리
- 인프라스트럭처
- 애플리케이션 성능
- APM
- Continuous Profiler
- 스팬 시각화
- 데이터 스트림 모니터링
- 데이터 작업 모니터링
- 디지털 경험
- 소프트웨어 제공
- 보안
- AI Observability
- 로그 관리
- 관리
ID: python-flask/sqlalchemy-injection
Language: Python
Severity: Error
Category: Security
CWE: 89
Use of unsanitized data from incoming requests in SQL queries may lead to SQL injections. Instead, the data should be filtered and sanitized before use, making sure all potential SQL injections are avoided.
import flask
import requests
app = flask.Flask(__name__)
@app.route("/route/to/resource/<resource_id>")
def resource2(resource_id):
file1 = query.order_by(resource_id)
file2 = query.having(f"{resource_id}")
@app.route("/route/to/resource/<resource_id>")
def resource3(resource_id):
file3 = query.filter("{0}".format(resource_id))
@app.route("/route/to/resource")
def resource2():
resource_id = flask.request.args.get("resource_id")
file1 = query.group_by(resource_id)
import flask
import requests
app = flask.Flask(__name__)
@app.route("/route/to/resource")
def resource2():
resource_id = flask.request.args.get("resource_id")
file1 = query.group_by(sanitize(resource_id))
|
|
For more information, please read the Code Analysis documentation
Identify code vulnerabilities directly in yourVS Code editor
Identify code vulnerabilities directly inJetBrains products