VAITP Dataset

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Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1890
1092
Elevation of privilege vulnerability in Azure Identity and MS Authentication libraries.

Azure Identity Libraries and Microsoft Authentication Library Elevation of Privilege Vulnerability

Function
Authentication, Authorization, and Session Management
Privilege Escalation
Remote
1091
PyMOL 2.5.0 allows RCE via unvalidated Python code in .PYM files.

PyMOL 2.5.0 contains a vulnerability in its "Run Script" function, which allows the execution of arbitrary Python code embedded within .PYM files. Attackers can craft a malicious .PYM file containing a Python reverse shell payload and exploit the function to achieve Remote Command Execution (RCE). This vulnerability arises because PyMOL treats .PYM files as Python scripts without properly validating or restricting the commands within the script, enabling attackers to run unauthorized commands in the context of the user running the application.

Checking
Input Validation and Sanitization
Command Injection
Remote
1090
NVIDIA CV-CUDA vulnerability allows uncontrolled resource consumption.

NVIDIA CV-CUDA for Ubuntu 20.04, Ubuntu 22.04, and Jetpack contains a vulnerability in Python APIs where a user may cause an uncontrolled resource consumption issue by a long running CV-CUDA Python process. A successful exploit of this vulnerability may lead to denial of service and data loss.

Function
Resource Management
Resource Exhaustion
Remote
1089
XSS vulnerability in Dash components allows data theft via manipulated links.

Versions of the package dash-core-components before 2.13.0; versions of the package dash-core-components before 2.0.0; versions of the package dash before 2.15.0; versions of the package dash-html-components before 2.0.0; versions of the package dash-html-components before 2.0.16 are vulnerable to Cross-site Scripting (XSS) when the href of the a tag is controlled by an adversary. An authenticated attacker who stores a view that exploits this vulnerability could steal the data that's visible to another user who opens that view - not just the data already included on the page, but they could also, in theory, make additional requests and access other data accessible to this user. In some cases, they could also steal the access tokens of that user, which would allow the attacker to act as that user, including viewing other apps and resources hosted on the same server. **Note:** This is only exploitable in Dash apps that include some mechanism to store user input to be reloaded by a different user.

Interface
Input Validation and Sanitization
Cross-Site Scripting (XSS)
Remote
1087
Arbitrary file read vulnerability in Python Pip Pandas v2.2.2.

Python Pip Pandas v2.2.2 was discovered to contain an arbitrary file read vulnerability.

Function
Information Leakage
Path Traversal
Remote
1086
Empty list for SSLContext.set_npn_protocols() causes buffer over-read.

CPython 3.9 and earlier doesn't disallow configuring an empty list ("[]") for SSLContext.set_npn_protocols() which is an invalid value for the underlying OpenSSL API. This results in a buffer over-read when NPN is used (see CVE-2024-5535 for OpenSSL). This vulnerability is of low severity due to NPN being not widely used and specifying an empty list likely being uncommon in-practice (typically a protocol name would be configured).

Function
Memory Corruption
Buffer Overflows
Remote
1085
Apport fails to disable Python crash handler prior to chroot execution.

Apport does not disable python crash handler before entering chroot

Checking
Configuration Issues
Security Misconfigurations
Local
1084
Local privilege escalation due to insecure Python environment setup.

Robotmk before 2.0.1 allows a local user to escalate privileges (e.g., to SYSTEM) if automated Python environment setup is enabled, because the "shared holotree usage" feature allows any user to edit any Python environment.

Interface
Configuration Issues
Privilege Escalation
Local
1083
Remote code execution vulnerability in Visual Studio Code Python extension.

Visual Studio Code Python Extension Remote Code Execution Vulnerability

Function
Input Validation and Sanitization
Command Injection
Remote
1082
Arbitrary Code Execution in langchain-experimental due to unsafe eval usage.

Versions of the package langchain-experimental from 0.0.15 and before 0.0.21 are vulnerable to Arbitrary Code Execution when retrieving values from the database, the code will attempt to call 'eval' on all values. An attacker can exploit this vulnerability and execute arbitrary python code if they can control the input prompt and the server is configured with VectorSQLDatabaseChain. **Notes:** Impact on the Confidentiality, Integrity and Availability of the vulnerable component: Confidentiality: Code execution happens within the impacted component, in this case langchain-experimental, so all resources are necessarily accessible. Integrity: There is nothing protected by the impacted component inherently. Although anything returned from the component counts as 'information' for which the trustworthiness can be compromised. Availability: The loss of availability isn't caused by the attack itself, but it happens as a result during the attacker's post-exploitation steps. Impact on the Confidentiality, Integrity and Availability of the subsequent system: As a legitimate low-privileged user of the package (PR:L) the attacker does not have more access to data owned by the package as a result of this vulnerability than they did with normal usage (e.g. can query the DB). The unintended action that one can perform by breaking out of the app environment and exfiltrating files, making remote connections etc. happens during the post exploitation phase in the subsequent system - in this case, the OS. AT:P: An attacker needs to be able to influence the input prompt, whilst the server is configured with the VectorSQLDatabaseChain plugin.

Function
Input Validation and Sanitization
Command Injection
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 ::