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Add CVE-2022-21733 for GHSA-98j8-c9q4-r38g
Add CVE-2022-21733 for GHSA-98j8-c9q4-r38g
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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-2022-21733",
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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": "Memory exhaustion 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": ">= 2.7.0, < 2.7.1"
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},
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{
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"version_value": ">= 2.6.0, < 2.6.3"
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},
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{
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"version_value": "< 2.5.3"
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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 Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
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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": "LOW",
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"attackVector": "NETWORK",
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"availabilityImpact": "LOW",
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"baseScore": 4.3,
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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": "NONE",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
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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-400: Uncontrolled Resource Consumption"
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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-98j8-c9q4-r38g",
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"refsource": "CONFIRM",
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"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98j8-c9q4-r38g"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/commit/f68fdab93fb7f4ddb4eb438c8fe052753c9413e8",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/commit/f68fdab93fb7f4ddb4eb438c8fe052753c9413e8"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/string_ngrams_op.cc#L29-L161",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/string_ngrams_op.cc#L29-L161"
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}
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]
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},
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"source": {
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"advisory": "GHSA-98j8-c9q4-r38g",
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"discovery": "UNKNOWN"
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}
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}
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