Python — высокоуровневый язык программирования общего назначения. Его философия дизайна делает акцент на читаемости кода.

Multiple buffer overflows in Python 2.5.2 and earlier on 32bit platforms allow context-dependent attackers to cause a denial of service (crash) or have unspecified other impact via a long string that leads to incorrect memory allocation during Unicode string processing, related to the unicode_resize function and the PyMem_RESIZE macro.

Multiple integer overflows in the PyOS_vsnprintf function in Python/mysnprintf.c in Python 2.5.2 and earlier allow context-dependent attackers to cause a denial of service (memory corruption) or have unspecified other impact via crafted input to string formatting operations. NOTE: the handling of certain integer values is also affected by related integer underflows and an off-by-one error.

Multiple integer overflows in Python before 2.5.2 might allow context-dependent attackers to have an unknown impact via vectors related to (1) Include/pymem.h; (2) _csv.c, (3) _struct.c, (4) arraymodule.c, (5) audioop.c, (6) binascii.c, (7) cPickle.c, (8) cStringIO.c, (9) cjkcodecs/multibytecodec.c, (10) datetimemodule.c, (11) md5.c, (12) rgbimgmodule.c, and (13) stropmodule.c in Modules/; (14) bufferobject.c, (15) listobject.c, and (16) obmalloc.c in Objects/; (17) Parser/node.c; and (18) asdl.c, (19) ast.c, (20) bltinmodule.c, and (21) compile.c in Python/, as addressed by "checks for integer overflows, contributed by Google."

Multiple integer overflows in the PyOS_vsnprintf function in Python/mysnprintf.c in Python 2.5.2 and earlier allow context-dependent attackers to cause a denial of service (memory corruption) or have unspecified other impact via crafted input to string formatting operations. NOTE: the handling of certain integer values is also affected by related integer underflows and an off-by-one error.

Multiple buffer overflows in Python 2.5.2 and earlier on 32bit platforms allow context-dependent attackers to cause a denial of service (crash) or have unspecified other impact via a long string that leads to incorrect memory allocation during Unicode string processing, related to the unicode_resize function and the PyMem_RESIZE macro.

Multiple integer overflows in Python before 2.5.2 might allow context-dependent attackers to have an unknown impact via vectors related to (1) Include/pymem.h; (2) _csv.c, (3) _struct.c, (4) arraymodule.c, (5) audioop.c, (6) binascii.c, (7) cPickle.c, (8) cStringIO.c, (9) cjkcodecs/multibytecodec.c, (10) datetimemodule.c, (11) md5.c, (12) rgbimgmodule.c, and (13) stropmodule.c in Modules/; (14) bufferobject.c, (15) listobject.c, and (16) obmalloc.c in Objects/; (17) Parser/node.c; and (18) asdl.c, (19) ast.c, (20) bltinmodule.c, and (21) compile.c in Python/, as addressed by "checks for integer overflows, contributed by Google."

Multiple integer overflows in Python 2.5.2 and earlier allow context-dependent attackers to have an unknown impact via vectors related to the (1) stringobject, (2) unicodeobject, (3) bufferobject, (4) longobject, (5) tupleobject, (6) stropmodule, (7) gcmodule, and (8) mmapmodule modules. NOTE: The expandtabs integer overflows in stringobject and unicodeobject in 2.5.2 are covered by CVE-2008-5031.

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 the PyOS_vsnprintf function in Python/my ...

Integer overflow in _hashopenssl.c in the hashlib module in Python 2.5 ...