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Add CVE-2022-41884 for GHSA-jq6x-99hj-q636
Add CVE-2022-41884 for GHSA-jq6x-99hj-q636
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parent
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{
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"data_type": "CVE",
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"data_format": "MITRE",
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"data_version": "4.0",
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"CVE_data_meta": {
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"ASSIGNER": "security-advisories@github.com",
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"ID": "CVE-2022-41884",
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"ASSIGNER": "cve@mitre.org",
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"STATE": "RESERVED"
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"STATE": "PUBLIC",
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"TITLE": "Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow"
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},
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"affects": {
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"vendor": {
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"vendor_data": [
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{
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"product": {
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"product_data": [
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{
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"product_name": "tensorflow",
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"version": {
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"version_data": [
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{
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"version_value": ">= 2.10.0, < 2.10.1"
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},
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{
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"version_value": ">= 2.9.0, < 2.9.3"
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},
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{
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"version_value": "< 2.8.4"
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}
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]
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}
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}
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]
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},
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"vendor_name": "tensorflow"
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}
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]
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}
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},
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"data_format": "MITRE",
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"data_type": "CVE",
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"data_version": "4.0",
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"description": {
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"description_data": [
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{
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"lang": "eng",
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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."
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"value": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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.\n"
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}
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]
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},
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"impact": {
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"cvss": {
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"attackComplexity": "HIGH",
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"attackVector": "NETWORK",
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"availabilityImpact": "HIGH",
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"baseScore": 4.8,
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"baseSeverity": "MEDIUM",
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"confidentialityImpact": "NONE",
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"integrityImpact": "NONE",
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"privilegesRequired": "LOW",
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"scope": "UNCHANGED",
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"userInteraction": "REQUIRED",
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"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H",
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"version": "3.1"
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}
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},
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"problemtype": {
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"problemtype_data": [
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{
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"description": [
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{
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"lang": "eng",
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"value": "CWE-670: Always-Incorrect Control Flow Implementation"
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}
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]
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}
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]
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},
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"references": {
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"reference_data": [
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{
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"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
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"refsource": "CONFIRM",
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"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784"
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}
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]
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},
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"source": {
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"advisory": "GHSA-jq6x-99hj-q636",
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"discovery": "UNKNOWN"
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}
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}
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