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Add CVE-2021-37669 for GHSA-vmjw-c2vp-p33c
Add CVE-2021-37669 for GHSA-vmjw-c2vp-p33c
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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-2021-37669",
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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": "Crash in NMS ops caused by integer conversion to unsigned 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": ">= 2.5.0, < 2.5.1"
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},
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{
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"version_value": ">= 2.4.0, < 2.4.3"
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},
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{
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"version_value": "< 2.3.4"
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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 end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/image/non_max_suppression_op.cc#L170-L271) uses a user controlled argument to resize a `std::vector`. However, as `std::vector::resize` takes the size argument as a `size_t` and `output_size` is an `int`, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in `CombinedNonMaxSuppression`. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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": "LOCAL",
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"availabilityImpact": "HIGH",
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"baseScore": 5.5,
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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:L/AC:L/PR:L/UI:N/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-681: Incorrect Conversion between Numeric Types"
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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-vmjw-c2vp-p33c",
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"refsource": "CONFIRM",
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"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vmjw-c2vp-p33c"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/commit/3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/commit/3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d"
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},
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{
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"name": "https://github.com/tensorflow/tensorflow/commit/b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58",
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"refsource": "MISC",
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"url": "https://github.com/tensorflow/tensorflow/commit/b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58"
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}
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]
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},
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"source": {
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"advisory": "GHSA-vmjw-c2vp-p33c",
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"discovery": "UNKNOWN"
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}
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}
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