"-Synchronized-Data."

This commit is contained in:
CVE Team 2020-12-10 23:01:45 +00:00
parent 28e664f295
commit 79c8f89504
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49 changed files with 1033 additions and 247 deletions

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@ -0,0 +1,18 @@
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"title": "IBM Security Bulletin 6380390 (Sterling B2B Integrator)",
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{
"title" : "X-Force Vulnerability Report",
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{
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"value": "** RESERVED ** This candidate has been reserved by an organization or individual that will use it when announcing a new security problem. When the candidate has been publicized, the details for this candidate will be provided."
"value": "The \u2018sort\u2019 parameter in the download page clientSetupAjax is vulnerable to SQL injection in ProcessMaker 3.4.11. A specially crafted HTTP request can cause an SQL injection. An attacker can make an authenticated HTTP request to trigger this vulnerability."
}
]
}

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@ -58,6 +58,11 @@
"refsource": "MISC",
"name": "https://patchwork.ozlabs.org/project/netfilter-devel/patch/c2385b5c-309c-cc64-2e10-a0ef62897502@virtuozzo.com/",
"url": "https://patchwork.ozlabs.org/project/netfilter-devel/patch/c2385b5c-309c-cc64-2e10-a0ef62897502@virtuozzo.com/"
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@ -5,13 +5,13 @@
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"value": "Notable 1.8.4 allows XSS via crafted Markdown text, with resultant remote code execution (because nodeIntegration in webPreferences is true)."
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@ -123,6 +123,11 @@
"refsource": "MLIST",
"name": "[tomee-commits] 20201207 [jira] [Assigned] (TOMEE-2936) TomEE plus(7.0.9) is affected by CVE-2020-17527(BDSA-2020-3628) vulnerability.",
"url": "https://lists.apache.org/thread.html/r26a2a66339087fc37db3caf201e446d3e83b5cce314371e235ff1784@%3Ccommits.tomee.apache.org%3E"
},
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@ -1,17 +1,61 @@
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"value": "iCMS 7 attackers to execute arbitrary OS commands via shell metacharacters in the DB_PREFIX parameter to install/install.php."
}
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@ -1,17 +1,61 @@
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"value": "iCMS 7.0.14 attackers to execute arbitrary OS commands via shell metacharacters in the DB_NAME parameter to install/install.php."
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}

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@ -56,6 +56,11 @@
"url": "https://lists.nongnu.org/archive/html/qemu-devel/2020-09/msg05492.html",
"refsource": "MISC",
"name": "https://lists.nongnu.org/archive/html/qemu-devel/2020-09/msg05492.html"
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}

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@ -53,6 +53,11 @@
"refsource": "MISC",
"name": "https://github.com/amqphub/amqp-10-resource-adapter/issues/13",
"url": "https://github.com/amqphub/amqp-10-resource-adapter/issues/13"
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]
},

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@ -48,6 +48,11 @@
"refsource": "MISC",
"name": "https://bugzilla.redhat.com/show_bug.cgi?id=1894579",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1894579"
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@ -1,17 +1,61 @@
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"value": "The member center function in fastadmin V1.0.0.20200506_beta is vulnerable to a Server-Side Template Injection (SST) vulnerability"
}
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"url": "https://www.cnpanda.net/codeaudit/777.html",
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"value": "Askey AP5100W_Dual_SIG_1.01.097 and all prior versions use a weak password at the Operating System (rlx-linux) level. This allows an attacker to gain unauthorized access as an admin or root user to the device Operating System via Telnet or SSH."
}
]
},
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"url": "https://www.askey.com.tw/",
"refsource": "MISC",
"name": "https://www.askey.com.tw/"
},
{
"refsource": "CONFIRM",
"name": "https://www.askey.com.tw/incident_report_notifications.html",
"url": "https://www.askey.com.tw/incident_report_notifications.html"
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}

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@ -47,7 +47,7 @@
"description_data": [
{
"lang": "eng",
"value": "In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen.\n\nThis is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
"value": "In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
}
]
},

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@ -47,7 +47,7 @@
"description_data": [
{
"lang": "eng",
"value": "In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes.\n\nThis is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
"value": "In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
}
]
},

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@ -47,7 +47,7 @@
"description_data": [
{
"lang": "eng",
"value": "In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area.\n\nIf the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault.\n\nThis is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden.\n\nThis is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
"value": "In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
}
]
},

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@ -35,7 +35,7 @@
"description_data": [
{
"lang": "eng",
"value": "In TensorFlow release candidate versions 2.4.0rc*, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories.\n\nThere are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these.\n\nThis is patched in version 2.4.0. This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched."
"value": "In TensorFlow release candidate versions 2.4.0rc*, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories. There are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these. This is patched in version 2.4.0. This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched."
}
]
},

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@ -47,7 +47,7 @@
"description_data": [
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"lang": "eng",
"value": "In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend.\n\nThis can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer.\n\nThis is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
"value": "In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
}
]
},

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@ -47,7 +47,7 @@
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"value": "In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality.\n\nHowever, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays.\n\nIn most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library.\n\nThis is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
"value": "In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0."
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View File

@ -105,6 +105,11 @@
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View File

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{
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