VAITP Dataset

Dataset Statistics
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CVE
Vulnerability
ODC
Category
Subcategory
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Details
Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1612
425
CVE-2023-31143
Mage-ai versions 0.8.34 to 0.8.71, with user authentication enabled, have unauthorized terminal access

mage-ai is an open-source data pipeline tool for transforming and integrating data. Those who use Mage starting in version 0.8.34 and prior to 0.8.72 with user authentication enabled may be affected by a vulnerability. The terminal could be accessed by users who are not signed in or do not have editor permissions. Version 0.8.72 contains a fix for this issue.

Function
Authentication, Authorization, and Session Management
Insecure Authentication Mechanisms
Remote
424
CVE-2022-38792
Exotel-py v0.1.6: Backdoor code execution vulnerability

The exotel (aka exotel-py) package in PyPI as of 0.1.6 includes a code execution backdoor inserted by a third party.

Function
Authentication, Authorization, and Session Management
Privilege Escalation
Remote
423
CVE-2021-25951
XXE vulnerability in 'XML2Dict' 0.2.2 = Denial of Service

XXE vulnerability in 'XML2Dict' version 0.2.2 allows an attacker to cause a denial of service.

Function
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
422
CVE-2023-41626
Gradio v3.27.0 /upload interface allows arbitrary file uploads, a severe security vulnerability

Gradio v3.27.0 was discovered to contain an arbitrary file upload vulnerability via the /upload interface.

Function
Information Leakage
Insecure Handling of Sensitive Data
Remote
421
CVE-2022-1930
eth-account PyPI package: Exponential ReDoS in "encode_structured_data" method

An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the eth-account PyPI package, when an attacker is able to supply arbitrary input to the encode_structured_data method

Function
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
420
CVE-2018-1000518
Websockets v4 improper handling of compressed data DoS via memory exhaustion

aaugustin websockets version 4 contains a CWE-409: Improper Handling of Highly Compressed Data (Data Amplification) vulnerability in Servers and clients, unless configured with compression=None that can result in Denial of Service by memory exhaustion. This attack appear to be exploitable via Sending a specially crafted frame on an established connection. This vulnerability appears to have been fixed in 5.

Function
Resource Management
Resource Exhaustion
Remote
419
CVE-2023-39662
Llama_index v.0.7.13 and earlier: Remote code execution via 'exec' parameter in PandasQueryEngine function

An issue in llama_index v.0.7.13 and before allows a remote attacker to execute arbitrary code via the `exec` parameter in PandasQueryEngine function.

Function
Input Validation and Sanitization
Command Injection
Remote
418
CVE-2023-39661
Pandas-ai v0.9.1 and earlier have a remote code execution vulnerability via the _is_jailbreak function

An issue in pandas-ai v.0.9.1 and before allows a remote attacker to execute arbitrary code via the _is_jailbreak function.

Function
Input Validation and Sanitization
Command Injection
Remote
417
CVE-2023-40267
GitPython < 3.1.32 has an insecure fix for , allowing insecure options in cloning

GitPython before 3.1.32 does not block insecure non-multi options in clone and clone_from. NOTE: this issue exists because of an incomplete fix for CVE-2022-24439.

Function
Input Validation and Sanitization
Insecure Direct Object References (IDOR)
Remote
416
CVE-2022-45907
PyTorch eval vulnerability allows arbitrary code execution

In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely.

Function
Input Validation and Sanitization
Insecure Parsing or Deserialization
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”

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