Conversation
| password_hash = _hash_password(password) | ||
|
|
||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | ||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" |
There was a problem hiding this comment.
Detected user input used to manually construct a SQL string. This is usually bad practice because manual construction could accidentally result in a SQL injection. An attacker could use a SQL injection to steal or modify contents of the database. Instead, use a parameterized query which is available by default in most database engines. Alternatively, consider using the Django object-relational mappers (ORM) instead of raw SQL queries.
View Dataflow Graph
flowchart LR
classDef invis fill:white, stroke: none
classDef default fill:#e7f5ff, color:#1c7fd6, stroke: none
subgraph File0["<b>sql_injection_login.py</b>"]
direction LR
%% Source
subgraph Source
direction LR
v0["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L14 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 14] request.form</a>"]
end
%% Intermediate
subgraph Traces0[Traces]
direction TB
v2["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L14 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 14] form</a>"]
v3["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L16 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 16] username</a>"]
end
v2 --> v3
%% Sink
subgraph Sink
direction LR
v1["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L21 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 21] f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'"</a>"]
end
end
%% Class Assignment
Source:::invis
Sink:::invis
Traces0:::invis
File0:::invis
%% Connections
Source --> Traces0
Traces0 --> Sink
⚪️ This finding does not block your pull request.
Ignore this finding from tainted-sql-string
There was a problem hiding this comment.
Semgrep Assistant suggests the following fix: Use parameterized queries instead of manually constructing SQL strings.
View step-by-step instructions
- Replace the SQL query construction with a parameterized query to prevent SQL injection.
- Use a database library that supports parameterized queries, such as SQLAlchemy or the database library you are using.
- Modify the SQL query to use placeholders for the parameters. For example, change the query to:
sql = "SELECT * FROM users WHERE username=:username AND password=:password". - Pass the parameters as a dictionary to the
execute_readmethod. For example:db_result = app.db_helper.execute_read(sql, {"username": username, "password": password_hash}).
Alternatively, if you are using Django, consider using the Django ORM to handle database queries, which automatically uses parameterized queries.
This code change should be a good starting point:
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | |
| sql = "SELECT * FROM users WHERE username=:username AND password=:password" | |
| db_result = app.db_helper.execute_read(sql, {"username": username, "password": password_hash}) |
Leave feedback with a 👍 / 👎. Save a memory with /remember <your custom instructions>.
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | ||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | ||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | ||
| flask.render_template_string(username) |
There was a problem hiding this comment.
Found a template created with string formatting. This is susceptible to server-side template injection and cross-site scripting attacks.
⚪️ This finding does not block your pull request.
Ignore this finding from render-template-string
There was a problem hiding this comment.
Semgrep Assistant suggests the following fix: Use render_template with a predefined template file instead of render_template_string with user input.
View step-by-step instructions
- Avoid using
render_template_stringwith user input directly. Instead, userender_templatewith a predefined template file. - If you need to pass the
usernameto the template, ensure it is properly escaped to prevent injection attacks. You can pass it as a variable torender_template. - Replace
flask.render_template_string(username)withreturn render_template('your_template.html', username=username), where'your_template.html'is the path to your HTML template file. - In your HTML template file, use Jinja2's autoescaping feature to safely display the
usernamevariable, like this:{{ username }}. This will automatically escape any HTML special characters inusername.
This code change should be a good starting point:
| flask.render_template_string(username) | |
| return render_template('your_template.html', username=username) |
Leave feedback with a 👍 / 👎. Save a memory with /remember <your custom instructions>.
|
|
||
| username = form.get('username') | ||
| password = form.get('password') | ||
| password_hash = _hash_password(password) |
There was a problem hiding this comment.
It looks like MD5 is used as a password hash. MD5 is not considered a secure password hash because it can be cracked by an attacker in a short amount of time. Use a suitable password hashing function such as scrypt. You can use hashlib.scrypt.
View Dataflow Graph
flowchart LR
classDef invis fill:white, stroke: none
classDef default fill:#e7f5ff, color:#1c7fd6, stroke: none
subgraph File0["<b>sql_injection_login.py</b>"]
direction LR
%% Source
subgraph Source
direction LR
v0["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L47 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 47] hashlib.md5</a>"]
end
%% Intermediate
subgraph Traces0[Traces]
direction TB
v2["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L47 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 47] md5_pass</a>"]
v3["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L18 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 18] _hash_password</a>"]
end
v2 --> v3
%% Sink
subgraph Sink
direction LR
v1["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L18 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 18] _hash_password(password)</a>"]
end
end
%% Class Assignment
Source:::invis
Sink:::invis
Traces0:::invis
File0:::invis
%% Connections
Source --> Traces0
Traces0 --> Sink
⚪️ This finding does not block your pull request.
Ignore this finding from md5-used-as-password
There was a problem hiding this comment.
Semgrep Assistant suggests the following fix: Use hashlib.scrypt for password hashing instead of MD5.
View step-by-step instructions
- Replace the use of MD5 with a more secure hashing algorithm. You can use
hashlib.scryptfor password hashing. - Modify the
_hash_passwordfunction to usehashlib.scryptinstead ofhashlib.md5. For example:import os import hashlib def _hash_password(password): salt = os.urandom(16) scrypt_pass = hashlib.scrypt(password.encode('utf-8'), salt=salt, n=16384, r=8, p=1) return scrypt_pass
- Ensure that the salt is stored alongside the hash in your database, as it is needed for verifying passwords later.
- Update any code that verifies passwords to use
hashlib.scryptwith the stored salt to check the password against the stored hash.
This code change should be a good starting point:
| password_hash = _hash_password(password) | |
| import os | |
| import hashlib | |
| def _hash_password(password): | |
| # Generate a random salt | |
| salt = os.urandom(16) | |
| # Use scrypt for hashing the password with the generated salt | |
| scrypt_pass = hashlib.scrypt(password.encode('utf-8'), salt=salt, n=16384, r=8, p=1) | |
| # Return both the salt and the hash, as the salt is needed for verification | |
| return salt + scrypt_pass |
Leave feedback with a 👍 / 👎. Save a memory with /remember <your custom instructions>.
| password = form.get('password') | ||
| password_hash = _hash_password(password) | ||
|
|
||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" |
There was a problem hiding this comment.
Detected user input used to manually construct a SQL string. This is usually bad practice because manual construction could accidentally result in a SQL injection. An attacker could use a SQL injection to steal or modify contents of the database. Instead, use a parameterized query which is available by default in most database engines. Alternatively, consider using the Django object-relational mappers (ORM) instead of raw SQL queries.
View Dataflow Graph
flowchart LR
classDef invis fill:white, stroke: none
classDef default fill:#e7f5ff, color:#1c7fd6, stroke: none
subgraph File0["<b>sql_injection_login.py</b>"]
direction LR
%% Source
subgraph Source
direction LR
v0["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L14 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 14] request.form</a>"]
end
%% Intermediate
subgraph Traces0[Traces]
direction TB
v2["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L14 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 14] form</a>"]
v3["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L16 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 16] username</a>"]
end
v2 --> v3
%% Sink
subgraph Sink
direction LR
v1["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L20 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 20] f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'"</a>"]
end
end
%% Class Assignment
Source:::invis
Sink:::invis
Traces0:::invis
File0:::invis
%% Connections
Source --> Traces0
Traces0 --> Sink
⚪️ This finding does not block your pull request.
Ignore this finding from tainted-sql-string
There was a problem hiding this comment.
Semgrep Assistant suggests the following fix: Use parameterized queries instead of string interpolation to prevent SQL injection.
View step-by-step instructions
- Replace the SQL query string with a parameterized query to prevent SQL injection. Change the line
sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'"tosql = "SELECT * FROM users WHERE username=%s AND password=%s". - Pass the parameters as a tuple to the
execute_readmethod. Update the call todb_result = app.db_helper.execute_read(sql, (username, password_hash)). - Ensure that your database helper method
execute_readsupports parameterized queries. If it uses a library likepsycopg2orMySQLdb, it should already support this.
This code change should be a good starting point:
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | |
| def sql_injection_login_api(request, app): | |
| form = request.form | |
| username = form.get('username') | |
| password = form.get('password') | |
| password_hash = _hash_password(password) | |
| # Use parameterized query to prevent SQL injection | |
| sql = "SELECT * FROM users WHERE username=%s AND password=%s" | |
| # Pass parameters as a tuple | |
| db_result = app.db_helper.execute_read(sql, (username, password_hash)) | |
| user = list( | |
| map( | |
| lambda u: { | |
| 'id': u[0], | |
| 'username': u[1], | |
| 'password': u[2] | |
| }, | |
| db_result | |
| ) | |
| )[0] if len(db_result) > 0 else None | |
| return render_template( | |
| 'sql_injection/login.html', | |
| sql=sql, | |
| logged=user is not None | |
| ) |
Leave feedback with a 👍 / 👎. Save a memory with /remember <your custom instructions>.
|
|
||
|
|
||
| def _hash_password(password): | ||
| md5_pass = hashlib.md5(password.encode('utf-8')).hexdigest() |
There was a problem hiding this comment.
Detected MD5 hash algorithm which is considered insecure. MD5 is not collision resistant and is therefore not suitable as a cryptographic signature. Use SHA256 or SHA3 instead.
⚪️ This finding does not block your pull request.
Ignore this finding from insecure-hash-algorithm-md5
There was a problem hiding this comment.
Semgrep Assistant suggests the following fix: Use SHA-256 instead of MD5 for hashing passwords.
View step-by-step instructions
- Replace the MD5 hashing algorithm with a more secure algorithm such as SHA-256. Change the line
md5_pass = hashlib.md5(password.encode('utf-8')).hexdigest()tosha256_pass = hashlib.sha256(password.encode('utf-8')).hexdigest(). - Update the return statement in the
_hash_passwordfunction to returnsha256_passinstead ofmd5_pass. This means changingreturn md5_passtoreturn sha256_pass.
Using SHA-256 provides better security because it is more resistant to collision attacks compared to MD5.
This code change should be a good starting point:
| md5_pass = hashlib.md5(password.encode('utf-8')).hexdigest() | |
| def _hash_password(password): | |
| sha256_pass = hashlib.sha256(password.encode('utf-8')).hexdigest() | |
| return sha256_pass |
Leave feedback with a 👍 / 👎. Save a memory with /remember <your custom instructions>.
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | ||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | ||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | ||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" |
There was a problem hiding this comment.
Detected user input used to manually construct a SQL string. This is usually bad practice because manual construction could accidentally result in a SQL injection. An attacker could use a SQL injection to steal or modify contents of the database. Instead, use a parameterized query which is available by default in most database engines. Alternatively, consider using the Django object-relational mappers (ORM) instead of raw SQL queries.
View Dataflow Graph
flowchart LR
classDef invis fill:white, stroke: none
classDef default fill:#e7f5ff, color:#1c7fd6, stroke: none
subgraph File0["<b>sql_injection_login.py</b>"]
direction LR
%% Source
subgraph Source
direction LR
v0["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L14 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 14] request.form</a>"]
end
%% Intermediate
subgraph Traces0[Traces]
direction TB
v2["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L14 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 14] form</a>"]
v3["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L16 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 16] username</a>"]
end
v2 --> v3
%% Sink
subgraph Sink
direction LR
v1["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L23 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 23] f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'"</a>"]
end
end
%% Class Assignment
Source:::invis
Sink:::invis
Traces0:::invis
File0:::invis
%% Connections
Source --> Traces0
Traces0 --> Sink
⚪️ This finding does not block your pull request.
Ignore this finding from tainted-sql-string
There was a problem hiding this comment.
Semgrep Assistant suggests the following fix: Use parameterized queries instead of manually constructing SQL strings.
View step-by-step instructions
- Replace the SQL string construction with a parameterized query to prevent SQL injection.
- Use a parameterized query syntax provided by your database library. For example, if using a library like
sqlite3, you can use placeholders like?or named placeholders like:username. - Modify the SQL query to use placeholders:
sql = "SELECT * FROM users WHERE username=:username AND password=:password_hash". - Pass the parameters as a dictionary to the
execute_readmethod:db_result = app.db_helper.execute_read(sql, {"username": username, "password_hash": password_hash}).
This change ensures that user inputs are safely handled by the database engine, preventing SQL injection attacks.
This code change should be a good starting point:
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | |
| sql = "SELECT * FROM users WHERE username=:username AND password=:password_hash" | |
| db_result = app.db_helper.execute_read(sql, {"username": username, "password_hash": password_hash}) |
Leave feedback with a 👍 / 👎. Save a memory with /remember <your custom instructions>.
|
|
||
|
|
||
| def _hash_password(password): | ||
| md5_pass = hashlib.md5(password.encode('utf-8')).hexdigest() |
There was a problem hiding this comment.
It looks like MD5 is used as a password hash. MD5 is not considered a secure password hash because it can be cracked by an attacker in a short amount of time. Use a suitable password hashing function such as scrypt. You can use hashlib.scrypt.
View Dataflow Graph
flowchart LR
classDef invis fill:white, stroke: none
classDef default fill:#e7f5ff, color:#1c7fd6, stroke: none
subgraph File0["<b>sql_injection_login.py</b>"]
direction LR
%% Source
subgraph Source
direction LR
v0["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L47 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 47] hashlib.md5</a>"]
end
%% Intermediate
%% Sink
subgraph Sink
direction LR
v1["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L47 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 47] hashlib.md5(password.encode('utf-8')).hexdigest()</a>"]
end
end
%% Class Assignment
Source:::invis
Sink:::invis
File0:::invis
%% Connections
Source --> Sink
⚪️ This finding does not block your pull request.
Ignore this finding from md5-used-as-password
There was a problem hiding this comment.
Semgrep Assistant suggests the following fix: Use hashlib.scrypt with a secure salt instead of MD5 for password hashing.
View step-by-step instructions
- Replace the MD5 hashing function with a more secure hashing function. You can use
hashlib.scryptfor this purpose. - Modify the
_hash_passwordfunction to usehashlib.scrypt. First, importosandhashlibat the top of your file if they are not already imported. - Generate a salt using
os.urandom(16)and store it securely. For demonstration, you can usesalt = os.urandom(16). - Update the
_hash_passwordfunction to usescryptas follows:def _hash_password(password): salt = os.urandom(16) scrypt_pass = hashlib.scrypt(password.encode('utf-8'), salt=salt, n=16384, r=8, p=1) return scrypt_pass.hex()
- Ensure that the salt is stored alongside the hashed password in your database, as it will be needed for password verification.
- Update any password verification logic to use the same
scryptparameters and the stored salt to verify passwords.
This code change should be a good starting point:
| md5_pass = hashlib.md5(password.encode('utf-8')).hexdigest() | |
| import os | |
| import hashlib | |
| def _hash_password(password): | |
| # Generate a secure random salt | |
| salt = os.urandom(16) | |
| # Use scrypt for password hashing with the generated salt | |
| scrypt_pass = hashlib.scrypt(password.encode('utf-8'), salt=salt, n=16384, r=8, p=1) | |
| # Return the salt and hashed password as a hex string | |
| return salt.hex() + scrypt_pass.hex() |
Leave feedback with a 👍 / 👎. Save a memory with /remember <your custom instructions>.
|
|
||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | ||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | ||
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" |
There was a problem hiding this comment.
Detected user input used to manually construct a SQL string. This is usually bad practice because manual construction could accidentally result in a SQL injection. An attacker could use a SQL injection to steal or modify contents of the database. Instead, use a parameterized query which is available by default in most database engines. Alternatively, consider using the Django object-relational mappers (ORM) instead of raw SQL queries.
View Dataflow Graph
flowchart LR
classDef invis fill:white, stroke: none
classDef default fill:#e7f5ff, color:#1c7fd6, stroke: none
subgraph File0["<b>sql_injection_login.py</b>"]
direction LR
%% Source
subgraph Source
direction LR
v0["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L14 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 14] request.form</a>"]
end
%% Intermediate
subgraph Traces0[Traces]
direction TB
v2["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L14 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 14] form</a>"]
v3["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L16 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 16] username</a>"]
end
v2 --> v3
%% Sink
subgraph Sink
direction LR
v1["<a href=https://github.com/bandarisantosh/bad-python-app/commit/94974cb05250d6f66c19ce59611530fbf6942c86/sql_injection_login.py#L22 target=_blank style='text-decoration:none; color:#1c7fd6'>[Line: 22] f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'"</a>"]
end
end
%% Class Assignment
Source:::invis
Sink:::invis
Traces0:::invis
File0:::invis
%% Connections
Source --> Traces0
Traces0 --> Sink
⚪️ This finding does not block your pull request.
Ignore this finding from tainted-sql-string
There was a problem hiding this comment.
Semgrep Assistant suggests the following fix: Use parameterized queries instead of manually constructing SQL strings.
View step-by-step instructions
- Replace the SQL query string with a parameterized query to prevent SQL injection. Change the line
sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'"tosql = "SELECT * FROM users WHERE username=%s AND password=%s". - Pass the parameters
usernameandpassword_hashas a tuple to theexecute_readmethod. Update the call todb_result = app.db_helper.execute_read(sql, (username, password_hash)). - Ensure that the
execute_readmethod in your database helper supports parameterized queries. If it doesn't, modify it to use parameterized queries with your database library (e.g., usingcursor.execute(sql, params)in a library likepsycopg2for PostgreSQL).
This code change should be a good starting point:
| sql = f"SELECT * FROM users WHERE username='{username}' AND password='{password_hash}'" | |
| sql = "SELECT * FROM users WHERE username=%s AND password=%s" | |
| db_result = app.db_helper.execute_read(sql, (username, password_hash)) |
Leave feedback with a 👍 / 👎. Save a memory with /remember <your custom instructions>.
No description provided.