The version of tensorflow installed on the remote CBL Mariner 2.0 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the CVE-2022-41894 advisory.
CONV_3D_TRANSPOSE
TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of data_ptr += num_channels;
it should be data_ptr += output_num_channels;
as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. (CVE-2022-41894)Note that Nessus has not tested for this issue but has instead relied only on the application’s self-reported version number.
#%NASL_MIN_LEVEL 80900
##
# (C) Tenable, Inc.
##
include('deprecated_nasl_level.inc');
include('compat.inc');
if (description)
{
script_id(172958);
script_version("1.2");
script_set_attribute(attribute:"plugin_modification_date", value:"2023/08/29");
script_cve_id("CVE-2022-41894");
script_name(english:"CBL Mariner 2.0 Security Update: tensorflow (CVE-2022-41894)");
script_set_attribute(attribute:"synopsis", value:
"The remote CBL Mariner host is missing one or more security updates.");
script_set_attribute(attribute:"description", value:
"The version of tensorflow installed on the remote CBL Mariner 2.0 host is prior to tested version. It is, therefore,
affected by a vulnerability as referenced in the CVE-2022-41894 advisory.
- TensorFlow is an open source platform for machine learning. The reference kernel of the
`CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the
result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the
number of input channels is different than the number of output channels, the wrong result will be
returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a
model with a specific number of input channels. It is then possible to write specific values through the
bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel
resolver is used in the interpreter. We have patched the issue in GitHub commit
72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also
cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and
still in supported range. (CVE-2022-41894)
Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version
number.");
script_set_attribute(attribute:"see_also", value:"https://nvd.nist.gov/vuln/detail/CVE-2022-41894");
script_set_attribute(attribute:"solution", value:
"Update the affected packages.");
script_set_cvss_base_vector("CVSS2#AV:N/AC:H/Au:N/C:C/I:C/A:C");
script_set_cvss_temporal_vector("CVSS2#E:POC/RL:OF/RC:C");
script_set_cvss3_base_vector("CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H");
script_set_cvss3_temporal_vector("CVSS:3.0/E:P/RL:O/RC:C");
script_set_attribute(attribute:"cvss_score_source", value:"CVE-2022-41894");
script_set_attribute(attribute:"exploitability_ease", value:"Exploits are available");
script_set_attribute(attribute:"exploit_available", value:"true");
script_set_attribute(attribute:"vuln_publication_date", value:"2022/11/18");
script_set_attribute(attribute:"patch_publication_date", value:"2022/12/13");
script_set_attribute(attribute:"plugin_publication_date", value:"2023/03/20");
script_set_attribute(attribute:"plugin_type", value:"local");
script_set_attribute(attribute:"cpe", value:"p-cpe:/a:microsoft:cbl-mariner:python3-tensorflow");
script_set_attribute(attribute:"cpe", value:"p-cpe:/a:microsoft:cbl-mariner:tensorflow-debuginfo");
script_set_attribute(attribute:"cpe", value:"x-cpe:/o:microsoft:cbl-mariner");
script_set_attribute(attribute:"generated_plugin", value:"current");
script_end_attributes();
script_category(ACT_GATHER_INFO);
script_family(english:"MarinerOS Local Security Checks");
script_copyright(english:"This script is Copyright (C) 2023 and is owned by Tenable, Inc. or an Affiliate thereof.");
script_dependencies("ssh_get_info.nasl");
script_require_keys("Host/local_checks_enabled", "Host/CBLMariner/release", "Host/CBLMariner/rpm-list", "Host/cpu");
exit(0);
}
include('rpm.inc');
if (!get_kb_item('Host/local_checks_enabled')) audit(AUDIT_LOCAL_CHECKS_NOT_ENABLED);
var release = get_kb_item('Host/CBLMariner/release');
if (isnull(release) || 'CBL-Mariner' >!< release) audit(AUDIT_OS_NOT, 'CBL-Mariner');
var os_ver = pregmatch(pattern: "CBL-Mariner ([0-9]+(\.[0-9]+)?)", string:release);
if (isnull(os_ver)) audit(AUDIT_UNKNOWN_APP_VER, 'CBL-Mariner');
os_ver = os_ver[1];
if (! preg(pattern:"^2([^0-9]|$)", string:os_ver)) audit(AUDIT_OS_NOT, 'CBL-Mariner 2.0', 'CBL-Mariner ' + os_ver);
if (!get_kb_item('Host/CBLMariner/rpm-list')) audit(AUDIT_PACKAGE_LIST_MISSING);
var cpu = get_kb_item('Host/cpu');
if (isnull(cpu)) audit(AUDIT_UNKNOWN_ARCH);
if ('x86_64' >!< cpu && cpu !~ "^i[3-6]86$" && 'aarch64' >!< cpu)
audit(AUDIT_LOCAL_CHECKS_NOT_IMPLEMENTED, 'CBL-Mariner', cpu);
var pkgs = [
{'reference':'python3-tensorflow-2.11.0-1.cm2', 'cpu':'x86_64', 'release':'2.0', 'rpm_spec_vers_cmp':TRUE},
{'reference':'tensorflow-debuginfo-2.11.0-1.cm2', 'cpu':'x86_64', 'release':'2.0', 'rpm_spec_vers_cmp':TRUE}
];
var flag = 0;
foreach var package_array ( pkgs ) {
var reference = NULL;
var _release = NULL;
var sp = NULL;
var _cpu = NULL;
var el_string = NULL;
var rpm_spec_vers_cmp = NULL;
var epoch = NULL;
var allowmaj = NULL;
var exists_check = NULL;
if (!empty_or_null(package_array['reference'])) reference = package_array['reference'];
if (!empty_or_null(package_array['release'])) _release = 'CBLMariner-' + package_array['release'];
if (!empty_or_null(package_array['sp'])) sp = package_array['sp'];
if (!empty_or_null(package_array['cpu'])) _cpu = package_array['cpu'];
if (!empty_or_null(package_array['el_string'])) el_string = package_array['el_string'];
if (!empty_or_null(package_array['rpm_spec_vers_cmp'])) rpm_spec_vers_cmp = package_array['rpm_spec_vers_cmp'];
if (!empty_or_null(package_array['epoch'])) epoch = package_array['epoch'];
if (!empty_or_null(package_array['allowmaj'])) allowmaj = package_array['allowmaj'];
if (!empty_or_null(package_array['exists_check'])) exists_check = package_array['exists_check'];
if (reference && _release && (!exists_check || rpm_exists(release:_release, rpm:exists_check))) {
if (rpm_check(release:_release, sp:sp, cpu:_cpu, reference:reference, epoch:epoch, el_string:el_string, rpm_spec_vers_cmp:rpm_spec_vers_cmp, allowmaj:allowmaj)) flag++;
}
}
if (flag)
{
security_report_v4(
port : 0,
severity : SECURITY_HOLE,
extra : rpm_report_get()
);
exit(0);
}
else
{
var tested = pkg_tests_get();
if (tested) audit(AUDIT_PACKAGE_NOT_AFFECTED, tested);
else audit(AUDIT_PACKAGE_NOT_INSTALLED, 'python3-tensorflow / tensorflow-debuginfo');
}
Vendor | Product | Version | CPE |
---|---|---|---|
microsoft | cbl-mariner | python3-tensorflow | p-cpe:/a:microsoft:cbl-mariner:python3-tensorflow |
microsoft | cbl-mariner | tensorflow-debuginfo | p-cpe:/a:microsoft:cbl-mariner:tensorflow-debuginfo |
microsoft | cbl-mariner | x-cpe:/o:microsoft:cbl-mariner |