Malicious OpenAPI Document in openapi-python-client < 0.5.3 allows arbitrary Python code execution
In openapi-python-client before version 0.5.3, clients generated with a maliciously crafted OpenAPI Document can generate arbitrary Python code. Subsequent execution of this malicious client is arbitrary code execution.
Remote code execution via SimpleXMLRPCServer
The SimpleXMLRPCServer library module in Python 2.2, 2.3 before 2.3.5, and 2.4, when used by XML-RPC servers that use the register_instance method to register an object without a _dispatch method, allows remote attackers to read or modify globals of the associated module, and possibly execute arbitrary code, via dotted attributes.
Stack-based buffer overflow in Python < 2.4.2
Stack-based buffer overflow in Python 2.4.2 and earlier, running on Linux 2.6.12.5 under gcc 4.0.3 with libc 2.3.5, allows local users to cause a "stack overflow," and possibly gain privileges, by running a script from a current working directory that has a long name, related to the realpath function. NOTE: this might not be a vulnerability. However, the fact that it appears in a programming language interpreter could mean that some applications are affected, although attack scenarios might be limited because the attacker might already need to cross privilege boundaries to cause an exploitable program to be placed in a directory with a long name; or, depending on the method that Python uses to determine the current working directory, setuid applications might be affected.
Directory traversal vulnerability in the (1) extract and (2) extractall functions in the tarfile module in Python
Directory traversal vulnerability in the (1) extract and (2) extractall functions in the tarfile module in Python allows user-assisted remote attackers to overwrite arbitrary files via a .. (dot dot) sequence in filenames in a TAR archive, a related issue to CVE-2001-1267.
Multiple integer overflows in the imageop module in Python 2.5.1 and earlier
Multiple integer overflows in the imageop module in Python 2.5.1 and earlier allow context-dependent attackers to cause a denial of service (application crash) and possibly obtain sensitive information (memory contents) via crafted arguments to (1) the tovideo method, and unspecified other vectors related to (2) imageop.c, (3) rbgimgmodule.c, and other files, which trigger heap-based buffer overflows.
Multiple integer overflows in imageop.c in Python before 2.5.3
Multiple integer overflows in imageop.c in Python before 2.5.3 allow context-dependent attackers to cause a denial of service (crash) and possibly execute arbitrary code via crafted images that trigger heap-based buffer overflows. NOTE: this issue is due to an incomplete fix for CVE-2007-4965.
Integer signedness error in the zlib extension module in Python 2.5.2 and earlier
Integer signedness error in the zlib extension module in Python 2.5.2 and earlier allows remote attackers to execute arbitrary code via a negative signed integer, which triggers insufficient memory allocation and a buffer overflow.
Integer overflow in hashlib module
Integer overflow in _hashopenssl.c in the hashlib module in Python 2.5.2 and earlier might allow context-dependent attackers to defeat cryptographic digests, related to "partial hashlib hashing of data exceeding 4GB."
Multiple integer overflows in imageop.c
Multiple integer overflows in imageop.c in the imageop module in Python 1.5.2 through 2.5.1 allow context-dependent attackers to break out of the Python VM and execute arbitrary code via large integer values in certain arguments to the crop function, leading to a buffer overflow, a different vulnerability than CVE-2007-4965 and CVE-2008-1679.
Denial of Service in asyncore module
The asyncore module in Python before 3.2 does not properly handle unsuccessful calls to the accept function, and does not have accompanying documentation describing how daemon applications should handle unsuccessful calls to the accept function, which makes it easier for remote attackers to conduct denial of service attacks that terminate these applications via network connections.
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