VAITP Dataset

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Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1890
1253
NiceGUI auth bypass: Login persisted across browsers, including incognito mode.

NiceGUI is an easy-to-use, Python-based UI framework. Prior to 2.9.1, authenticating with NiceGUI logged in the user for all browsers, including browsers in incognito mode. This vulnerability is fixed in 2.9.1.

Interface
Authentication, Authorization, and Session Management
Session Management Issues
Remote
1252
Jinja template code injection via str.format bypass in custom filters. Fixed in 3.1.5.

Jinja is an extensible templating engine. Prior to 3.1.5, An oversight in how the Jinja sandboxed environment detects calls to str.format allows an attacker that controls the content of a template to execute arbitrary Python code. To exploit the vulnerability, an attacker needs to control the content of a template. Whether that is the case depends on the type of application using Jinja. This vulnerability impacts users of applications which execute untrusted templates. Jinja's sandbox does catch calls to str.format and ensures they don't escape the sandbox. However, it's possible to store a reference to a malicious string's format method, then pass that to a filter that calls it. No such filters are built-in to Jinja, but could be present through custom filters in an application. After the fix, such indirect calls are also handled by the sandbox. This vulnerability is fixed in 3.1.5.

Algorithm
Design Defects
Insecure Parsing or Deserialization
Remote
1250
Jinja template injection allows arbitrary code execution via controlled filename and content.

Jinja is an extensible templating engine. Prior to 3.1.5, a bug in the Jinja compiler allows an attacker that controls both the content and filename of a template to execute arbitrary Python code, regardless of if Jinja's sandbox is used. To exploit the vulnerability, an attacker needs to control both the filename and the contents of a template. Whether that is the case depends on the type of application using Jinja. This vulnerability impacts users of applications which execute untrusted templates where the template author can also choose the template filename. This vulnerability is fixed in 3.1.5.

Algorithm
Design Defects
Insecure Parsing or Deserialization
Remote
1249
Jinja2 template injection allows arbitrary code execution via unsanitized user input.

APTRS (Automated Penetration Testing Reporting System) is a Python and Django-based automated reporting tool designed for penetration testers and security organizations. In 1.0, there is a vulnerability in the web application's handling of user-supplied input that is incorporated into a Jinja2 template. Specifically, when user input is improperly sanitized or validated, an attacker can inject Jinja2 syntax into the template, causing the server to execute arbitrary code. For example, an attacker might be able to inject expressions like {{ config }}, {{ self.class.mro[1].subclasses() }}, or more dangerous payloads that trigger execution of arbitrary Python code. The vulnerability can be reproduced by submitting crafted input to all the template fields handled by ckeditor, that are passed directly to a Jinja2 template. If the input is rendered without sufficient sanitization, it results in the execution of malicious Jinja2 code on the server.

Interface
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
1248
iTerm2 leaks sensitive data via /tmp/framer.txt with certain SSH configs.

iTerm2 3.5.6 through 3.5.10 before 3.5.11 sometimes allows remote attackers to obtain sensitive information from terminal commands by reading the /tmp/framer.txt file. This can occur for certain it2ssh and SSH Integration configurations, during remote logins to hosts that have a common Python installation.

Interface
Information Leakage
Information Disclosure
Remote
1247
Unary operators don't escape non-Expression in python-sql.

A vulnerability was found in python-sql where unary operators do not escape non-Expression.

Algorithm
Input Validation and Sanitization
SQL Injection
Remote
1246
cbor2 can crash from long CBOR objects. Fixed in 5.6.2.

cbor2 provides encoding and decoding for the Concise Binary Object Representation (CBOR) (RFC 8949) serialization format. Starting in version 5.5.1 and prior to version 5.6.2, an attacker can crash a service using cbor2 to parse a CBOR binary by sending a long enough object. Version 5.6.2 contains a patch for this issue.

Algorithm
Resource Management
Insecure Parsing or Deserialization
Remote
1245
MiniZip heap overflow via long filename/comment/extra field in zlib through 1.3.

MiniZip in zlib through 1.3 has an integer overflow and resultant heap-based buffer overflow in zipOpenNewFileInZip4_64 via a long filename, comment, or extra field. NOTE: MiniZip is not a supported part of the zlib product. NOTE: pyminizip through 0.2.6 is also vulnerable because it bundles an affected zlib version, and exposes the applicable MiniZip code through its compress API.

Algorithm
Memory Corruption
Integer Overflows
Remote
1244
SQL injection in Redshift Python Connector v2.1.4 allows privilege escalation.

A SQL injection in the Amazon Redshift Python Connector v2.1.4 allows a user to gain escalated privileges via the get_schemas, get_tables, or get_columns Metadata APIs. Users are recommended to upgrade to the driver version 2.1.5 or revert to driver version 2.1.3.

Interface
Input Validation and Sanitization
SQL Injection
Remote
1243
djoser <2.3.0 allows authentication bypass via database query fallback, bypassing custom authentication checks.

Versions of the package djoser before 2.3.0 are vulnerable to Authentication Bypass when the authenticate() function fails. This is because the system falls back to querying the database directly, granting access to users with valid credentials, and eventually bypassing custom authentication checks such as two-factor authentication, LDAP validations, or requirements from configured AUTHENTICATION_BACKENDS.

Interface
Authentication, Authorization, and Session Management
Insecure Authentication Mechanisms
Remote
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.

The supreme art of war is to subdue the enemy without fighting.

Sun Tzu – “The Art of War”

:: Shaping the future through research and ingenuity ::