gsd-2022-41887
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.
Aliases
Aliases
{ "GSD": { "alias": "CVE-2022-41887", "id": "GSD-2022-41887" }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2022-41887" ], "details": "TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.", "id": "GSD-2022-41887", "modified": "2023-12-13T01:19:32.548084Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-41887", "STATE": "PUBLIC", "TITLE": "Overflow in `tf.keras.losses.poisson` in Tensorflow" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "tensorflow", "version": { "version_data": [ { "version_value": "\u003e= 2.10.0, \u003c 2.10.1" }, { "version_value": "\u003c 2.9.3" } ] } } ] }, "vendor_name": "tensorflow" } ] } }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "eng", "value": "TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9." } ] }, "impact": { "cvss": { "attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 4.8, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H", "version": "3.1" } }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "eng", "value": "CWE-131: Incorrect Calculation of Buffer Size" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3" }, { "name": "https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c" }, { "name": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h" }, { "name": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py" } ] }, "source": { "advisory": "GHSA-8fvv-46hw-vpg3", "discovery": "UNKNOWN" } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003c2.9.3||\u003e=2.10.0,\u003c2.10.1", "affected_versions": "All versions before 2.9.3, all versions starting from 2.10.0 before 2.10.1", "cwe_ids": [ "CWE-1035", "CWE-131", "CWE-937" ], "date": "2022-11-21", "description": "TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.", "fixed_versions": [ "2.9.3", "2.10.1" ], "identifier": "CVE-2022-41887", "identifiers": [ "GHSA-8fvv-46hw-vpg3", "CVE-2022-41887" ], "not_impacted": "All versions starting from 2.9.3 before 2.10.0, all versions starting from 2.10.1", "package_slug": "pypi/tensorflow-cpu", "pubdate": "2022-11-21", "solution": "Upgrade to versions 2.9.3, 2.10.1 or above.", "title": "Incorrect Calculation of Buffer Size", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3", "https://nvd.nist.gov/vuln/detail/CVE-2022-41887", "https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c", "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h", "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py", "https://github.com/advisories/GHSA-8fvv-46hw-vpg3" ], "uuid": "313b09eb-77cf-4933-b8d8-d0d1ebb57c16" }, { "affected_range": "\u003c2.9.3||\u003e=2.10.0,\u003c2.10.1", "affected_versions": "All versions before 2.9.3, all versions starting from 2.10.0 before 2.10.1", "cwe_ids": [ "CWE-1035", "CWE-131", "CWE-937" ], "date": "2022-11-21", "description": "TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.", "fixed_versions": [ "2.9.3", "2.10.1" ], "identifier": "CVE-2022-41887", "identifiers": [ "GHSA-8fvv-46hw-vpg3", "CVE-2022-41887" ], "not_impacted": "All versions starting from 2.9.3 before 2.10.0, all versions starting from 2.10.1", "package_slug": "pypi/tensorflow-gpu", "pubdate": "2022-11-21", "solution": "Upgrade to versions 2.9.3, 2.10.1 or above.", "title": "Incorrect Calculation of Buffer Size", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3", "https://nvd.nist.gov/vuln/detail/CVE-2022-41887", "https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c", "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h", "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py", "https://github.com/advisories/GHSA-8fvv-46hw-vpg3" ], "uuid": "219f690b-15da-441a-a76b-a0f65d8c4dd6" }, { "affected_range": "\u003e=2.9.0,\u003c2.9.3||==2.10.0", "affected_versions": "All versions starting from 2.9.0 before 2.9.3, version 2.10.0", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-131", "CWE-937" ], "date": "2022-11-22", "description": "TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.", "fixed_versions": [ "2.9.3", "2.10.1" ], "identifier": "CVE-2022-41887", "identifiers": [ "CVE-2022-41887", "GHSA-8fvv-46hw-vpg3" ], "not_impacted": "All versions before 2.9.0, all versions starting from 2.9.3 before 2.10.0, all versions after 2.10.0", "package_slug": "pypi/tensorflow", "pubdate": "2022-11-18", "solution": "Upgrade to versions 2.9.3, 2.10.1 or above.", "title": "Incorrect Calculation of Buffer Size", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3", "https://nvd.nist.gov/vuln/detail/CVE-2022-41887", "https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c", "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h", "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py", "https://github.com/advisories/GHSA-8fvv-46hw-vpg3" ], "uuid": "b337c069-8d2b-406c-9fbb-6d14bfad1411" } ] }, "nvd.nist.gov": { "configurations": { "CVE_data_version": "4.0", "nodes": [ { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10.0:*:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.9.3", "versionStartIncluding": "2.9.0", "vulnerable": true } ], "operator": "OR" } ] }, "cve": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-41887" }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "en", "value": "TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "en", "value": "CWE-131" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c", "refsource": "MISC", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c" }, { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3", "refsource": "CONFIRM", "tags": [ "Exploit", "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3" }, { "name": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py", "refsource": "MISC", "tags": [ "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py" }, { "name": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h", "refsource": "MISC", "tags": [ "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h" } ] } }, "impact": { "baseMetricV3": { "cvssV3": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" }, "exploitabilityScore": 3.9, "impactScore": 3.6 } }, "lastModifiedDate": "2022-11-22T21:55Z", "publishedDate": "2022-11-18T22:15Z" } } }
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Sightings
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Nomenclature
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- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.