VAITP Dataset

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CVE
Vulnerability
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Details
Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1438
741
CVE-2020-28463
SSRF in Reportlab via img tags

All versions of package reportlab are vulnerable to Server-side Request Forgery (SSRF) via img tags. In order to reduce risk, use trustedSchemes & trustedHosts (see in Reportlab's documentation) Steps to reproduce by Karan Bamal: 1. Download and install the latest package of reportlab 2. Go to demos -> odyssey -> dodyssey 3. In the text file odyssey.txt that needs to be converted to pdf inject <img src="http://127.0.0.1:5000" valign="top"/> 4. Create a nc listener nc -lp 5000 5. Run python3 dodyssey.py 6. You will get a hit on your nc showing we have successfully proceded to send a server side request 7. dodyssey.py will show error since there is no img file on the url, but we are able to do SSRF

Function
Configuration Issues
Server-Side Request Forgery (SSRF)
Remote
740
CVE-2023-1306
Jinja template code execution via resource.db method

An authenticated attacker can leverage an exposed resource.db() accessor method to smuggle Python method calls via a Jinja template, which can lead to code execution. This issue was resolved in the Managed and SaaS deployments on February 1, 2023, and in version 23.2.1 of the Self-Managed version of InsightCloudSec.

Function
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
739
CVE-2013-1665
XML libraries in Python 3.4 and earlier versions are vulnerable to XXE attacks

The XML libraries for Python 3.4, 3.3, 3.2, 3.1, 2.7, and 2.6, as used in OpenStack Keystone Essex and Folsom, Django, and possibly other products allow remote attackers to read arbitrary files via an XML external entity declaration in conjunction with an entity reference, aka an XML External Entity (XXE) attack.

Function
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
738
CVE-2012-5825
Tweepy SSL certificate verification bypass

Tweepy does not verify that the server hostname matches a domain name in the subject's Common Name (CN) or subjectAltName field of the X.509 certificate, which allows man-in-the-middle attackers to spoof SSL servers via an arbitrary valid certificate, related to use of the Python httplib library.

Function
Cryptographic
Improper SSL/TLS Certificate Validation
Remote
737
CVE-2012-0215
Improper access control in Trytond before 2.4.0 allows remote authenticated users to modify user privileges via certain RPC calls

model/modelstorage.py in the Tryton application framework (trytond) before 2.4.0 for Python does not properly restrict access to the Many2Many field in the relation model, which allows remote authenticated users to modify the privileges of arbitrary users via a (1) create, (2) write, (3) delete, or (4) copy rpc call.

Checking
Authentication, Authorization, and Session Management
Privilege Escalation
Remote
736
CVE-2019-15796
Python-apt versions 1.9.3ubuntu2 and earlier don't check for signed hashes in certain functions, allowing downloads from unsigned repositories

Python-apt doesn't check if hashes are signed in `Version.fetch_binary()` and `Version.fetch_source()` of apt/package.py or in `_fetch_archives()` of apt/cache.py in version 1.9.3ubuntu2 and earlier. This allows downloads from unsigned repositories which shouldn't be allowed and has been fixed in verisions 1.9.5, 1.9.0ubuntu1.2, 1.6.5ubuntu0.1, 1.1.0~beta1ubuntu0.16.04.7, 0.9.3.5ubuntu3+esm2, and 0.8.3ubuntu7.5.

Checking
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
735
CVE-2019-3558
Python Facebook Thrift servers < v2019.02.18.00: Parsing DoS via unknown type containers

Python Facebook Thrift servers would not error upon receiving messages with containers of fields of unknown type. As a result, malicious clients could send short messages which would take a long time for the server to parse, potentially leading to denial of service. This issue affects Facebook Thrift prior to v2019.02.18.00.

Timing/Serialization
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
734
CVE-2022-25882
onnx < 1.13.0: Directory Traversal in external_data field

Versions of the package onnx before 1.13.0 are vulnerable to Directory Traversal as the external_data field of the tensor proto can have a path to the file which is outside the model current directory or user-provided directory, for example "../../../etc/passwd"

Function
Input Validation and Sanitization
Path Traversal
Local
733
CVE-2013-1629
Insecure package retrieval in pre-1.3 pip allows code execution via crafted response

pip before 1.3 uses HTTP to retrieve packages from the PyPI repository, and does not perform integrity checks on package contents, which allows man-in-the-middle attackers to execute arbitrary code via a crafted response to a "pip install" operation.

Function
Cryptographic
Unencrypted communication
Remote
732
CVE-2018-0015
AppFormix debug console allows root command execution

A malicious user with unrestricted access to the AppFormix application management platform may be able to access a Python debug console and execute system commands with root privilege. The AppFormix Agent exposes the debug console on a host where AppFormix Agent is executing. If the host is executing AppFormix Agent, an attacker may access the debug console and execute Python commands with root privilege. Affected AppFormix releases are: All versions up to and including 2.7.3; 2.11 versions prior to 2.11.3; 2.15 versions prior to 2.15.2. Juniper SIRT is not aware of any malicious exploitation of this vulnerability, however, the issue has been seen in a production network. No other Juniper Networks products or platforms are affected by this issue.

Function
Authentication, Authorization, and Session Management
Privilege Escalation
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.

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