CVE-2022-35987 (GCVE-0-2022-35987)
Vulnerability from cvelistv5
Published
2022-09-16 21:40
Modified
2025-04-23 17:01
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-617 - Reachable Assertion
Summary
TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
| ► | URL | Tags |
|---|---|---|
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T09:51:59.874Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w62h-8xjm-fv49"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2022-35987",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-23T13:58:57.911489Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-04-23T17:01:40.899Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "\u003c 2.7.2"
},
{
"status": "affected",
"version": "\u003e= 2.8.0, \u003c 2.8.1"
},
{
"status": "affected",
"version": "\u003e= 2.9.0, \u003c 2.9.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-617",
"description": "CWE-617: Reachable Assertion",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-09-16T21:40:24.000Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w62h-8xjm-fv49"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43"
}
],
"source": {
"advisory": "GHSA-w62h-8xjm-fv49",
"discovery": "UNKNOWN"
},
"title": "`CHECK` fail in `DenseBincount` in TensorFlow",
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-35987",
"STATE": "PUBLIC",
"TITLE": "`CHECK` fail in `DenseBincount` in TensorFlow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003c 2.7.2"
},
{
"version_value": "\u003e= 2.8.0, \u003c 2.8.1"
},
{
"version_value": "\u003e= 2.9.0, \u003c 2.9.1"
}
]
}
}
]
},
"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. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-617: Reachable Assertion"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w62h-8xjm-fv49",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w62h-8xjm-fv49"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43"
}
]
},
"source": {
"advisory": "GHSA-w62h-8xjm-fv49",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-35987",
"datePublished": "2022-09-16T21:40:24.000Z",
"dateReserved": "2022-07-15T00:00:00.000Z",
"dateUpdated": "2025-04-23T17:01:40.899Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1",
"vulnerability-lookup:meta": {
"vulnrichment": {
"containers": "{\"adp\": [{\"title\": \"CVE Program Container\", \"references\": [{\"url\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w62h-8xjm-fv49\", \"tags\": [\"x_refsource_CONFIRM\", \"x_transferred\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43\", \"tags\": [\"x_refsource_MISC\", \"x_transferred\"]}], \"providerMetadata\": {\"orgId\": \"af854a3a-2127-422b-91ae-364da2661108\", \"shortName\": \"CVE\", \"dateUpdated\": \"2024-08-03T09:51:59.874Z\"}}, {\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2022-35987\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-04-23T13:58:57.911489Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-04-23T13:58:59.727Z\"}}], \"cna\": {\"title\": \"`CHECK` fail in `DenseBincount` in TensorFlow\", \"source\": {\"advisory\": \"GHSA-w62h-8xjm-fv49\", \"discovery\": \"UNKNOWN\"}, \"metrics\": [{\"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 5.9, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"MEDIUM\", \"vectorString\": \"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H\", \"integrityImpact\": \"NONE\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"HIGH\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"NONE\"}}], \"affected\": [{\"vendor\": \"tensorflow\", \"product\": \"tensorflow\", \"versions\": [{\"status\": \"affected\", \"version\": \"\u003c 2.7.2\"}, {\"status\": \"affected\", \"version\": \"\u003e= 2.8.0, \u003c 2.8.1\"}, {\"status\": \"affected\", \"version\": \"\u003e= 2.9.0, \u003c 2.9.1\"}]}], \"references\": [{\"url\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w62h-8xjm-fv49\", \"tags\": [\"x_refsource_CONFIRM\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43\", \"tags\": [\"x_refsource_MISC\"]}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-617\", \"description\": \"CWE-617: Reachable Assertion\"}]}], \"providerMetadata\": {\"orgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"shortName\": \"GitHub_M\", \"dateUpdated\": \"2022-09-16T21:40:24.000Z\"}, \"x_legacyV4Record\": {\"impact\": {\"cvss\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 5.9, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"MEDIUM\", \"vectorString\": \"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H\", \"integrityImpact\": \"NONE\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"HIGH\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"NONE\"}}, \"source\": {\"advisory\": \"GHSA-w62h-8xjm-fv49\", \"discovery\": \"UNKNOWN\"}, \"affects\": {\"vendor\": {\"vendor_data\": [{\"product\": {\"product_data\": [{\"version\": {\"version_data\": [{\"version_value\": \"\u003c 2.7.2\"}, {\"version_value\": \"\u003e= 2.8.0, \u003c 2.8.1\"}, {\"version_value\": \"\u003e= 2.9.0, \u003c 2.9.1\"}]}, \"product_name\": \"tensorflow\"}]}, \"vendor_name\": \"tensorflow\"}]}}, \"data_type\": \"CVE\", \"references\": {\"reference_data\": [{\"url\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w62h-8xjm-fv49\", \"name\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w62h-8xjm-fv49\", \"refsource\": \"CONFIRM\"}, {\"url\": \"https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43\", \"name\": \"https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43\", \"refsource\": \"MISC\"}]}, \"data_format\": \"MITRE\", \"description\": {\"description_data\": [{\"lang\": \"eng\", \"value\": \"TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.\"}]}, \"problemtype\": {\"problemtype_data\": [{\"description\": [{\"lang\": \"eng\", \"value\": \"CWE-617: Reachable Assertion\"}]}]}, \"data_version\": \"4.0\", \"CVE_data_meta\": {\"ID\": \"CVE-2022-35987\", \"STATE\": \"PUBLIC\", \"TITLE\": \"`CHECK` fail in `DenseBincount` in TensorFlow\", \"ASSIGNER\": \"security-advisories@github.com\"}}}}",
"cveMetadata": "{\"cveId\": \"CVE-2022-35987\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-04-23T17:01:40.899Z\", \"dateReserved\": \"2022-07-15T00:00:00.000Z\", \"assignerOrgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"datePublished\": \"2022-09-16T21:40:24.000Z\", \"assignerShortName\": \"GitHub_M\"}",
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
Loading…
Loading…
Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.
Loading…
Loading…