Accepting request 1182484 from devel:languages:python:Factory

- Add CVE-2023-52425-libexpat-2.6.0-backport.patch to fix tests with
  patched libexpat below 2.6.0 that doesn't update the version number,
  just in SLE.
- Remove old-libexpat.patch, of course.

    across multiple threads (bsc#1226447, CVE-2024-0397)

OBS-URL: https://build.opensuse.org/request/show/1182484
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python310?expand=0&rev=43
This commit is contained in:
Ana Guerrero 2024-06-24 18:50:16 +00:00 committed by Git OBS Bridge
commit 346624a8d5
6 changed files with 187 additions and 769 deletions

View File

@ -0,0 +1,57 @@
---
Lib/test/test_pyexpat.py | 4 ++++
Lib/test/test_sax.py | 3 +++
Lib/test/test_xml_etree.py | 7 +++++++
3 files changed, 14 insertions(+)
--- a/Lib/test/test_pyexpat.py
+++ b/Lib/test/test_pyexpat.py
@@ -766,6 +766,10 @@ class ReparseDeferralTest(unittest.TestC
self.assertEqual(started, ['doc'])
def test_reparse_deferral_disabled(self):
+ if expat.version_info < (2, 6, 0):
+ self.skipTest(f'Expat {expat.version_info} does not '
+ 'support reparse deferral')
+
started = []
def start_element(name, _):
--- a/Lib/test/test_sax.py
+++ b/Lib/test/test_sax.py
@@ -1240,6 +1240,9 @@ class ExpatReaderTest(XmlTestBase):
self.assertEqual(result.getvalue(), start + b"<doc></doc>")
+ @unittest.skipIf(pyexpat.version_info < (2, 6, 0),
+ f'Expat {pyexpat.version_info} does not '
+ 'support reparse deferral')
def test_flush_reparse_deferral_disabled(self):
result = BytesIO()
xmlgen = XMLGenerator(result)
--- a/Lib/test/test_xml_etree.py
+++ b/Lib/test/test_xml_etree.py
@@ -1420,9 +1420,13 @@ class XMLPullParserTest(unittest.TestCas
self.assert_event_tags(parser, [('end', 'root')])
self.assertIsNone(parser.close())
+ @unittest.skipIf(pyexpat.version_info < (2, 6, 0),
+ f'Fail with patched version of Expat {pyexpat.version_info}')
def test_simple_xml_chunk_1(self):
self.test_simple_xml(chunk_size=1, flush=True)
+ @unittest.skipIf(pyexpat.version_info < (2, 6, 0),
+ f'Fail with patched version of Expat {pyexpat.version_info}')
def test_simple_xml_chunk_5(self):
self.test_simple_xml(chunk_size=5, flush=True)
@@ -1648,6 +1652,9 @@ class XMLPullParserTest(unittest.TestCas
self.assert_event_tags(parser, [('end', 'doc')])
+ @unittest.skipIf(pyexpat.version_info < (2, 6, 0),
+ f'Expat {pyexpat.version_info} does not '
+ 'support reparse deferral')
def test_flush_reparse_deferral_disabled(self):
parser = ET.XMLPullParser(events=('start', 'end'))

View File

@ -1,16 +1,16 @@
-----BEGIN PGP SIGNATURE-----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=9/7V
iQIzBAABCAAdFiEEz9yiRbEEPPKl+Xhl/+h0BBaL2EcFAmX76AkACgkQ/+h0BBaL
2EeKvhAAuN+7X3iFv8tYwUTbKJT9x9fLsADI5wOn5j8xuDiXQCOMzsqqyB1RSdEd
tbCQXg9XJj1bVHc4DY337vUix9jvFcTqbQqlzUm/peX4buY2bKkZu2quti1iWSJf
IN26jDYO2TobPvGdvNiH2Hceqe1dc5tU7iYEfaLR5ImgO4aGgK6x4DiLdmFqo2bk
ZZWZLkXbwenrSdLVmUZLP5Gg2dsfMkbfFpydau9Zk3RVl6mVYATwzJaY9K5otC0K
7kc+nKPwkTxKAjndbznjsVrWK0Xcr4hrlMHs4Re2Nrdqa2mVd1jAAFO5xETJJtd7
YqL6mQuJ9wQfEEq2QWz1hEi67l8g8VeEgzYQOjZ6pTxwYYt0YDfKBjRtRCWuJ11c
w6Q+pniGcgIHAMkQGjZds88CwAdIiyG7IAIT2ovW+xVxH/JqLPHeRsHMKYx4DPqL
2y23Tchw+gBUvmbwCdObXWL1eq5R3Xz3ikkdX/I6zknmEvgPTi5N59C1IQqh0W/6
8uMrHOdELz9I5Fd+zGTJ8iyh/wrecMiIx+HOsBTYv/FYbMVnQUshUBOiD70geUb5
uSeHyxl/P7VK/0phbxOznU4oDot2fHPmZRK3q+K67J9L16q7pEou1AJAw8E7ed5C
Ywf+y2tdxsuqChQK/OA6uuqW6rXjZPuCoG5Bn6YIEuU769LsHcY=
=1PBR
-----END PGP SIGNATURE-----

View File

@ -1,79 +0,0 @@
---
Lib/test/test_sax.py | 10 +++++-----
Lib/test/test_xml_etree.py | 17 ++++++++---------
2 files changed, 13 insertions(+), 14 deletions(-)
--- a/Lib/test/test_sax.py
+++ b/Lib/test/test_sax.py
@@ -1215,10 +1215,9 @@ class ExpatReaderTest(XmlTestBase):
self.assertEqual(result.getvalue(), start + b"<doc>text</doc>")
+ @unittest.skipIf(pyexpat.version_info < (2, 6, 0),
+ "Reparse deferral not defined for libexpat < 2.6.0")
def test_flush_reparse_deferral_enabled(self):
- if pyexpat.version_info < (2, 6, 0):
- self.skipTest(f'Expat {pyexpat.version_info} does not support reparse deferral')
-
result = BytesIO()
xmlgen = XMLGenerator(result)
parser = create_parser()
@@ -1240,6 +1239,8 @@ class ExpatReaderTest(XmlTestBase):
self.assertEqual(result.getvalue(), start + b"<doc></doc>")
+ @unittest.skipIf(pyexpat.version_info < (2, 6, 0),
+ "Reparse deferral not defined for libexpat < 2.6.0")
def test_flush_reparse_deferral_disabled(self):
result = BytesIO()
xmlgen = XMLGenerator(result)
@@ -1249,8 +1250,7 @@ class ExpatReaderTest(XmlTestBase):
for chunk in ("<doc", ">"):
parser.feed(chunk)
- if pyexpat.version_info >= (2, 6, 0):
- parser._parser.SetReparseDeferralEnabled(False)
+ parser._parser.SetReparseDeferralEnabled(False)
self.assertEqual(result.getvalue(), start) # i.e. no elements started
self.assertFalse(parser._parser.GetReparseDeferralEnabled())
--- a/Lib/test/test_xml_etree.py
+++ b/Lib/test/test_xml_etree.py
@@ -1623,11 +1623,9 @@ class XMLPullParserTest(unittest.TestCas
with self.assertRaises(ValueError):
ET.XMLPullParser(events=('start', 'end', 'bogus'))
+ @unittest.skipIf(pyexpat.version_info < (2, 6, 0),
+ "Reparse deferral not defined for libexpat < 2.6.0")
def test_flush_reparse_deferral_enabled(self):
- if pyexpat.version_info < (2, 6, 0):
- self.skipTest(f'Expat {pyexpat.version_info} does not '
- 'support reparse deferral')
-
parser = ET.XMLPullParser(events=('start', 'end'))
for chunk in ("<doc", ">"):
@@ -1648,17 +1646,18 @@ class XMLPullParserTest(unittest.TestCas
self.assert_event_tags(parser, [('end', 'doc')])
+ @unittest.skipIf(pyexpat.version_info < (2, 6, 0),
+ "Reparse deferral not defined for libexpat < 2.6.0")
def test_flush_reparse_deferral_disabled(self):
parser = ET.XMLPullParser(events=('start', 'end'))
for chunk in ("<doc", ">"):
parser.feed(chunk)
- if pyexpat.version_info >= (2, 6, 0):
- if not ET is pyET:
- self.skipTest(f'XMLParser.(Get|Set)ReparseDeferralEnabled '
- 'methods not available in C')
- parser._parser._parser.SetReparseDeferralEnabled(False)
+ if not ET is pyET:
+ self.skipTest(f'XMLParser.(Get|Set)ReparseDeferralEnabled '
+ 'methods not available in C')
+ parser._parser._parser.SetReparseDeferralEnabled(False)
self.assert_event_tags(parser, []) # i.e. no elements started
if ET is pyET:

View File

@ -1,677 +1,109 @@
-----BEGIN PGP PUBLIC KEY BLOCK-----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=7KV3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=6Zb4
-----END PGP PUBLIC KEY BLOCK-----

View File

@ -1,3 +1,11 @@
-------------------------------------------------------------------
Fri Apr 19 08:37:04 UTC 2024 - Matej Cepl <mcepl@suse.com>
- Add CVE-2023-52425-libexpat-2.6.0-backport.patch to fix tests with
patched libexpat below 2.6.0 that doesn't update the version number,
just in SLE.
- Remove old-libexpat.patch, of course.
-------------------------------------------------------------------
Sun Mar 24 00:43:14 UTC 2024 - Matej Cepl <mcepl@cepl.eu>
@ -38,7 +46,7 @@ Thu Mar 21 07:38:15 UTC 2024 - Matej Cepl <mcepl@cepl.eu>
- gh-114572: ssl.SSLContext.cert_store_stats() and
ssl.SSLContext.get_ca_certs() now correctly lock access to
the certificate store, when the ssl.SSLContext is shared
across multiple threads
across multiple threads (bsc#1226447, CVE-2024-0397)
- Remove upstreamed patches:
- CVE-2023-6597-TempDir-cleaning-symlink.patch
- libexpat260.patch

View File

@ -192,9 +192,9 @@ Patch20: CVE-2023-27043-email-parsing-errors.patch
# * gh#python/cpython#104221
# * gh#python/cpython#107246
Patch21: fix-sphinx-72.patch
# PATCH-FIX-UPSTREAM old-libexpat.patch gh#python/cpython#117187 mcepl@suse.com
# PATCH-FIX-UPSTREAM CVE-2023-52425-libexpat-2.6.0-backport.patch gh#python/cpython#117187 mcepl@suse.com
# Make the test suite work with libexpat < 2.6.0
Patch22: old-libexpat.patch
Patch22: CVE-2023-52425-libexpat-2.6.0-backport.patch
BuildRequires: autoconf-archive
BuildRequires: automake
BuildRequires: fdupes