bandit

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Selected rules from Bandit, a security checker for Python, rewritten in Semgrep.

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Rules (58)

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Detected a Jinja2 environment without autoescaping. Jinja2 does not autoescape by default. This is dangerous if you are rendering to a browser because this allows for cross-site scripting (XSS) attacks. If you are in a web context, enable autoescaping by setting 'autoescape=True.' You may also consider using 'jinja2.select_autoescape()' to only enable automatic escaping for certain file extensions.

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A hard-coded credential was detected. It is not recommended to store credentials in source-code, as this risks secrets being leaked and used by either an internal or external malicious adversary. It is recommended to use environment variables to securely provide credentials or retrieve credentials from a secure vault or HSM (Hardware Security Module).

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The Python documentation recommends using `defusedxml` instead of `xml` because the native Python `xml` library is vulnerable to XML External Entity (XXE) attacks. These attacks can leak confidential data and "XML bombs" can cause denial of service.

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QuerySet.extra' does not provide safeguards against SQL injection and requires very careful use. SQL injection can lead to critical data being stolen by attackers. Instead of using '.extra', use the Django ORM and parameterized queries such as `People.objects.get(name='Bob')`.

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The marshal module is not intended to be secure against erroneous or maliciously constructed data. Never unmarshal data received from an untrusted or unauthenticated source. See more details: https://docs.python.org/3/library/marshal.html?highlight=security

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Avoid using `cPickle`, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format.

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Avoid using `dill`, which uses `pickle`, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format.

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Avoid using `pickle`, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format.

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Avoid using `shelve`, which uses `pickle`, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format.

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The Connection.recv() method automatically unpickles the data it receives, which can be a security risk unless you can trust the process which sent the message. Therefore, unless the connection object was produced using Pipe() you should only use the recv() and send() methods after performing some sort of authentication. See more dettails: https://docs.python.org/3/library/multiprocessing.html?highlight=security#multiprocessing.connection.Connection

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Detected the use of 'RawSQL' or 'raw' indicating the execution of a non-parameterized SQL query. This could lead to a SQL injection and therefore protected information could be leaked. Instead, use Django ORM and parameterized queries before raw SQL. An example of using the Django ORM is: `People.objects.get(name='Bob')`

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Detected the use of eval(). eval() can be dangerous if used to evaluate dynamic content. If this content can be input from outside the program, this may be a code injection vulnerability. Ensure evaluated content is not definable by external sources.

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Detected the use of exec(). exec() can be dangerous if used to evaluate dynamic content. If this content can be input from outside the program, this may be a code injection vulnerability. Ensure evaluated content is not definable by external sources.

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Detected use of the wildcard character in a system call that spawns a shell. This subjects the wildcard to normal shell expansion, which can have unintended consequences if there exist any non-standard file names. Consider a file named '-e sh script.sh' -- this will execute a script when 'rsync' is called. See https://www.defensecode.com/public/DefenseCode_Unix_WildCards_Gone_Wild.txt for more information.

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Detected Flask app with debug=True. Do not deploy to production with this flag enabled as it will leak sensitive information. Instead, consider using Flask configuration variables or setting 'debug' using system environment variables.

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The HTTPSConnection API has changed frequently with minor releases of Python. Ensure you are using the API for your version of Python securely. For example, Python 3 versions prior to 3.4.3 will not verify SSL certificates by default. See https://docs.python.org/3/library/http.client.html#http.client.HTTPSConnection for more information.

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Detected a possible YAML deserialization vulnerability. `yaml.unsafe_load`, `yaml.Loader`, `yaml.CLoader`, and `yaml.UnsafeLoader` are all known to be unsafe methods of deserializing YAML. An attacker with control over the YAML input could create special YAML input that allows the attacker to run arbitrary Python code. This would allow the attacker to steal files, download and install malware, or otherwise take over the machine. Use `yaml.safe_load` or `yaml.SafeLoader` instead.