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Add CVE-2022-23558 for GHSA-9gwq-6cwj-47h3
Add CVE-2022-23558 for GHSA-9gwq-6cwj-47h3
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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-2022-23558",
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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": "Integer overflow in TFLite array creation"
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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. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. 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": "HIGH",
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"baseScore": 7.6,
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"baseSeverity": "HIGH",
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"confidentialityImpact": "LOW",
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"integrityImpact": "LOW",
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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:L/I:L/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-190: Integer Overflow or Wraparound"
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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-9gwq-6cwj-47h3",
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"refsource": "CONFIRM",
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"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9gwq-6cwj-47h3"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60"
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}
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]
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},
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"source": {
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"advisory": "GHSA-9gwq-6cwj-47h3",
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"discovery": "UNKNOWN"
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}
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}
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