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Add python random samples#65

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Add python random samples#65
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@amazon-pratik
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Added 50 randomly selected python code samples from the security dataset.

Added 50 randomly selected python code samples from the security dataset.
@amazon-q-developer
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⏳ I'm reviewing this pull request for security vulnerabilities and code quality issues. I'll provide an update when I'm done

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Summary of Changes

Hello @amazon-pratik, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

I've introduced a new set of 50 randomly selected Python code samples, sourced from a security dataset. This addition aims to enrich our existing collection, providing a broader range of examples for security analysis and testing. The samples cover various common vulnerabilities and demonstrate different programming patterns, particularly within the context of machine learning frameworks like PyTorch and TensorFlow.

Highlights

  • New README for Python Samples: I've added a new python/README.md file that provides an overview of the random code samples, their purpose, and their structure within the repository.
  • Addition of 50 Python Code Samples: I've included 50 randomly selected Python code samples, primarily focusing on security-related defects and machine learning code, to expand our dataset for analysis and testing purposes.
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# {fact rule=cross-site-scripting@v1.0 defects=1}
@register.filter(is_safe=True, needs_autoescape=False) #sensitive
def non_conformant_3(value):
result = '<strong>' + value + '</strong>'
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Caution

Description: Concatenating unsanitized input directly into HTML can lead to XSS vulnerabilities. Use Django's template system or escape the input using conditional_escape before concatenation.

Severity: Critical

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The fix addresses the XSS vulnerability by using Django's conditional_escape function to sanitize the input before concatenating it with HTML. This prevents potential malicious scripts from being executed when the template filter is used. The fix is applied to the non_conformant_1 and non_conformant_3 functions, which were previously vulnerable to XSS attacks.

Suggested change
result = '<strong>' + value + '</strong>'
# Non Conformant
# {fact rule=cross-site-scripting@v1.0 defects=1}
@register.filter(is_safe=True) #sensitive
def non_conformant_1(value):
from django.utils.html import conditional_escape # Import conditional_escape for input sanitization
result = '<strong>' + conditional_escape(value) + '</strong>'
return result
# {/fact}
# {fact rule=cross-site-scripting@v1.0 defects=1}
@register.filter(is_safe=True) #sensitive
def non_conformant_2(value, arg):
result = value.replace(arg, '')
return result
# {/fact}
# {fact rule=cross-site-scripting@v1.0 defects=1}
@register.filter(is_safe=True, needs_autoescape=False) #sensitive
def non_conformant_3(value):
from django.utils.html import conditional_escape # Import conditional_escape for input sanitization
result = '<strong>' + conditional_escape(value) + '</strong>'
return result
# {fact rule=cross-site-scripting@v1.0 defects=1}
@register.filter(is_safe=True, needs_autoescape=False) #sensitive
def non_conformant_4(value, arg):
result = value.replace(arg, '')
return result


# Noncompliant: Unsafe data from event is written into S3 Select query.
sql_exp = "SELECT s.DateTime, s.Wind Speed, s.Wind Direction"\
"FROM s3object s WHERE s.DateTime = '%s'" % current_user
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Caution

Description: SQL injection vulnerability in S3 Select query due to unsanitized user input. Use parameterized queries or sanitize the user input before constructing the SQL expression.

Severity: Critical

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The fix addresses the SQL injection vulnerability by sanitizing the user input before using it in the SQL query. We import the 're' module to use regular expressions for input sanitization. The 'current_user' input is sanitized by removing any characters that are not alphanumeric, whitespace, or hyphens. The sanitized input is then used in the SQL query using string formatting. This approach helps prevent SQL injection attacks by ensuring that only expected characters are included in the query.

Suggested change
"FROM s3object s WHERE s.DateTime = '%s'" % current_user
# FN in this case implies that 'Expression' parameter of S3 query APIs like 'select_object_content()' is not considered as sink by the rule.
import boto3
import re # Import re for regular expression operations
s3 = boto3.client('s3')
def lambda_handler(event, context):
current_user = event["username"]
# Sanitize the user input
sanitized_user = re.sub(r'[^\w\s-]', '', current_user)
# Use the sanitized input in the SQL query
sql_exp = "SELECT s.DateTime, s.\"Wind Speed\", s.\"Wind Direction\" "\
"FROM s3object s WHERE s.DateTime = '{}'".format(sanitized_user)
resp = s3.select_object_content(
Bucket="XXXXXXXXXXX",
Key="key",
ExpressionType='SQL',
Expression=sql_exp,

def do_login():
username = request.form['username']
password = request.form['password']
db = MySQLdb.connect(host="localhost", user="root", passwd="root", db="db")
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Caution

Description: We detected the use of a hardcoded active database password in the source code. This practice exposes sensitive database credentials directly within the codebase, making them easily discoverable by anyone with access to the code. The potential risk is unauthorized access to the database, potentially leading to data breaches, data manipulation, or system compromise. To remediate, remove the hardcoded database password from the source code and store it securely in an external configuration file, environment variable, or a dedicated secrets management system. Implement a secure method to retrieve the password at runtime, ensuring it's never visible in the codebase.

Learn more

Severity: Critical

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The fix removes hardcoded database credentials and instead retrieves them from environment variables or a configuration file. It also uses parameterized queries to prevent SQL injection vulnerabilities.

Suggested change
db = MySQLdb.connect(host="localhost", user="root", passwd="root", db="db")
# Import os for environment variable access
# Import configparser for reading configuration files
import os
import configparser
def do_login():
username = request.form['username']
password = request.form['password']
# Load database credentials from environment variables or configuration file
db_host = os.environ.get('DB_HOST', 'localhost')
db_user = os.environ.get('DB_USER', 'root')
db_password = os.environ.get('DB_PASSWORD')
db_name = os.environ.get('DB_NAME', 'db')
if not db_password:
config = configparser.ConfigParser()
config.read('config.ini')
db_password = config['Database']['Password']
db = MySQLdb.connect(host=db_host, user=db_user, passwd=db_password, db=db_name)
cur = db.cursor()
cur.execute("SELECT * FROM users WHERE username = %s AND password = %s", (username, password))
results = cur.fetchall()
if len(results) > 0:
session['username'] = username

def get_db_connection():
db = MySQLdb.connect(host="localhost",
user="root",
passwd="root",
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Caution

Description: We detected credentials hardcoded in your code, which might allow unauthorized users to access your account. We recommend you to store your credentials outside of the code in a configuration file, a database, or a management service for secrets and retrieve from it. For more information, see CWE-259 and CWE-798.

Severity: Critical

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The fix replaces the hardcoded password with a call to os.getenv() to retrieve the password from an environment variable. This improves security by removing sensitive information from the source code.

Suggested change
passwd="root",
import os # Import os module to access environment variables
def get_db_connection():
db = MySQLdb.connect(host="localhost",
user="root",
passwd=os.getenv("DB_PASSWORD"), # Retrieve password from environment variable
db="db")
return db

def do_login():
username = request.form['username']
password = request.form['password']
db = MySQLdb.connect(host="localhost", user="root", passwd="root", db="db")
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Caution

Description: We detected credentials hardcoded in your code, which might allow unauthorized users to access your account. We recommend you to store your credentials outside of the code in a configuration file, a database, or a management service for secrets and retrieve from it. For more information, see CWE-259 and CWE-798.

Severity: Critical

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The fix replaces the hardcoded database password with an environment variable accessed using os.getenv(). This improves security by removing sensitive information from the source code and allows for easier management of credentials.

Suggested change
db = MySQLdb.connect(host="localhost", user="root", passwd="root", db="db")
# Import os to access environment variables for secure credential storage
import os
def do_login():
username = request.form['username']
password = request.form['password']
db = MySQLdb.connect(host="localhost", user="root", passwd=os.getenv("DB_PASSWORD"), db="db")
cur = db.cursor()
cur.execute("SELECT * FROM users WHERE username = '" + username + "' AND password = '" + password + "'")
results = cur.fetchall()

def do_login():
username = request.form['username']
password = request.form['password']
db = MySQLdb.connect(host="localhost", user="root", passwd="root", db="db")
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Caution

Description: It appears your code may contain a hardcoded secret. We recommend replacing it with AWS Secrets Manager references to enhance security and follow best practices. For more information, please refer OWASP password storage cheat sheet.

Severity: Critical

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The fix replaces hardcoded database credentials with AWS Secrets Manager integration, and uses parameterized queries to prevent SQL injection vulnerabilities.

Suggested change
db = MySQLdb.connect(host="localhost", user="root", passwd="root", db="db")
# Import statements
import os
from aws_secretsmanager_caching import SecretCache, SecretCacheConfig
def do_login():
username = request.form['username']
password = request.form['password']
# Use AWS Secrets Manager to retrieve database credentials
secret_cache = SecretCache(SecretCacheConfig())
db_secret = secret_cache.get_secret_string('my-db-secret')
db_creds = json.loads(db_secret)
db = MySQLdb.connect(host=db_creds['host'], user=db_creds['username'], passwd=db_creds['password'], db=db_creds['dbname'])
cur = db.cursor()
cur.execute("SELECT * FROM users WHERE username = %s AND password = %s", (username, password))
results = cur.fetchall()
if len(results) > 0:
session['username'] = username

#copilot mean_prob: 0.7142668250582043

def admin_page():
is_admin = (g.username == 'admin')
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Caution

Description: The admin_page function lacks proper authorization checks, relying only on a simple username comparison. Implement a robust authorization mechanism, such as role-based access control, to verify admin privileges.

Severity: Critical

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The fix replaces the simple username comparison with a call to a function is_admin() that should implement a robust authorization mechanism. If the user is not an admin, the function aborts with a 403 Forbidden error. This addresses the comment by implementing a more secure check for admin privileges. However, the fix is incomplete as it requires the implementation of the is_admin() function, which should be defined elsewhere in the application to properly verify admin status, possibly using role-based access control or another secure method.

Suggested change
is_admin = (g.username == 'admin')
#the admin page (for admins only - error otherwise)
@app.route('/admin')
@ensure_logged_in
def admin_page():
# TODO: Implement a robust authorization mechanism to verify admin privileges
if not is_admin(g.username):
abort(403) # Forbidden
return '''<html>
Hello, %s! <a href='./'>Home</a> <a href='/logout'>Logout</a>
<p>Admin? True</p>
</html>''' % g.username

# {fact rule=cross-site-scripting@v1.0 defects=1}
@register.filter(is_safe=True, needs_autoescape=False) #sensitive
def non_conformant_4(value, arg):
result = value.replace(arg, '')
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Caution

Description: Returning unsanitized input can lead to XSS vulnerabilities. Implement proper escaping using conditional_escape before returning the result.

Severity: Critical

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The fix addresses the XSS vulnerability by implementing proper escaping using conditional_escape before returning the result. The changes include using conditional_escape to sanitize the input and mark_safe to indicate that the output is safe to render. This approach ensures that any potentially harmful content in the input is properly escaped before being returned, preventing XSS attacks.

Suggested change
result = value.replace(arg, '')
# {fact rule=cross-site-scripting@v1.0 defects=1}
@register.filter(is_safe=True) #sensitive
def non_conformant_2(value, arg):
result = conditional_escape(value.replace(arg, '')) # import django.utils.html
return mark_safe(result) # import django.utils.safestring
# {/fact}
# {fact rule=cross-site-scripting@v1.0 defects=1}
@register.filter(is_safe=True, needs_autoescape=False) #sensitive
def non_conformant_3(value):
result = '<strong>' + conditional_escape(value) + '</strong>' # import django.utils.html
return mark_safe(result) # import django.utils.safestring
# {fact rule=cross-site-scripting@v1.0 defects=1}
@register.filter(is_safe=True, needs_autoescape=False) #sensitive
def non_conformant_4(value, arg):
result = conditional_escape(value.replace(arg, '')) # import django.utils.html
return mark_safe(result) # import django.utils.safestring
# {/fact}
# Conformant



# ruleid:autoescape-disabled
Environment(loader=templateLoader, autoescape=fake_func())
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Caution

Description: Using jinja2 templates with autoescape=False is dangerous and can lead to XSS. Ensure autoescape=True or use the select_autoescape function to mitigate XSS vulnerabilities. https://bandit.readthedocs.io/en/latest/plugins/b701_jinja2_autoescape_false.html

Severity: Critical

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The fix replaces the potentially unsafe fake_func() with select_autoescape(['html', 'xml']), which automatically enables autoescaping for HTML and XML files. This helps mitigate XSS vulnerabilities by ensuring proper escaping of user-supplied content in templates.

Suggested change
Environment(loader=templateLoader, autoescape=fake_func())
# Import jinja2 for Environment and select_autoescape
# select_autoescape is used to automatically enable autoescaping for specific file extensions
from jinja2 import Environment, select_autoescape
Environment(loader=templateLoader, autoescape=select_autoescape(['html', 'xml']))

now = datetime.datetime.now()
html = "<html><body>It is now %s.</body></html>" % now

return "Hey there! {}!".format(dill.loads(b64decode(user_obj)))
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Caution

Description: This code is vulnerable to code injection because it executes user-controlled input without proper validation or sanitization. An attacker could supply input that gets executed as code, potentially compromising the application. This vulnerability can lead to remote code execution, privilege escalation, or full system takeover. To remediate this, avoid using functions like eval(), exec(), or system shell commands on untrusted input. In Python, prefer ast.literal_eval() if parsing safe literals, and refactor logic to eliminate dynamic code execution wherever possible. Use trusted libraries and strongly typed input handling methods to reduce risk. More information - https://owasp.org/www-community/attacks/Code_Injection

Severity: Critical

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The fix removes the insecure deserialization using dill.loads() and b64decode(), and instead uses html.escape() to sanitize the user input. The sanitized input is then directly used in the string formatting, eliminating the potential for code injection.

Suggested change
return "Hey there! {}!".format(dill.loads(b64decode(user_obj)))
def current_datetime(request):
# import html
# html.escape() is used to sanitize user input and prevent XSS attacks
user_obj = html.escape(request.cookies.get('uuid', ''))
now = datetime.datetime.now()
html = "<html><body>It is now %s.</body></html>" % now
return "Hey there! {}!".format(user_obj)

@amazon-q-developer
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✅ I finished the code review, and left comments with the issues I found. I will now generate code fix suggestions.

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