GSD-2022-29205
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-29205",
"description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don\u0027t yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
"id": "GSD-2022-29205",
"references": [
"https://www.suse.com/security/cve/CVE-2022-29205.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-29205"
],
"details": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don\u0027t yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
"id": "GSD-2022-29205",
"modified": "2023-12-13T01:19:42.406178Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-29205",
"STATE": "PUBLIC",
"TITLE": "Segfault due to missing support for quantized types in TensorFlow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003c 2.6.4"
},
{
"version_value": "\u003e= 2.7.0rc0, \u003c 2.7.2"
},
{
"version_value": "\u003e= 2.8.0rc0, \u003c 2.8.1"
},
{
"version_value": "\u003e= 2.9.0rc0, \u003c 2.9.0"
}
]
}
}
]
},
"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. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don\u0027t yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-908: Use of Uninitialized Resource"
}
]
},
{
"description": [
{
"lang": "eng",
"value": "CWE-476: NULL Pointer Dereference"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4"
},
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"
},
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
},
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
},
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482"
}
]
},
"source": {
"advisory": "GHSA-54ch-gjq5-4976",
"discovery": "UNKNOWN"
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c2.6.4||\u003e=2.7.0,\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1",
"affected_versions": "All versions before 2.6.4, all versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1",
"cwe_ids": [
"CWE-1035",
"CWE-476",
"CWE-908",
"CWE-937"
],
"date": "2022-05-24",
"description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don\u0027t yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
"fixed_versions": [
"2.6.4",
"2.7.2",
"2.8.1"
],
"identifier": "CVE-2022-29205",
"identifiers": [
"GHSA-54ch-gjq5-4976",
"CVE-2022-29205"
],
"not_impacted": "All versions starting from 2.6.4 before 2.7.0, all versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1",
"package_slug": "pypi/tensorflow-cpu",
"pubdate": "2022-05-24",
"solution": "Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.",
"title": "Use of Uninitialized Resource",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976",
"https://nvd.nist.gov/vuln/detail/CVE-2022-29205",
"https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9",
"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320",
"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
"https://github.com/advisories/GHSA-54ch-gjq5-4976"
],
"uuid": "ecce90a3-c52f-4194-bb7f-98ca588d5fb8"
},
{
"affected_range": "\u003c2.6.4||\u003e=2.7.0,\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1",
"affected_versions": "All versions before 2.6.4, all versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1",
"cwe_ids": [
"CWE-1035",
"CWE-476",
"CWE-908",
"CWE-937"
],
"date": "2022-05-24",
"description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don\u0027t yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
"fixed_versions": [
"2.6.4",
"2.7.2",
"2.8.1"
],
"identifier": "CVE-2022-29205",
"identifiers": [
"GHSA-54ch-gjq5-4976",
"CVE-2022-29205"
],
"not_impacted": "All versions starting from 2.6.4 before 2.7.0, all versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1",
"package_slug": "pypi/tensorflow-gpu",
"pubdate": "2022-05-24",
"solution": "Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.",
"title": "Use of Uninitialized Resource",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976",
"https://nvd.nist.gov/vuln/detail/CVE-2022-29205",
"https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9",
"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320",
"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
"https://github.com/advisories/GHSA-54ch-gjq5-4976"
],
"uuid": "6c08d849-91be-4d2d-a2ff-65f4d77bb960"
},
{
"affected_range": "\u003c2.6.4||\u003e=2.7.0,\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1",
"affected_versions": "All versions before 2.6.4, all versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1",
"cvss_v2": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
"cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-476",
"CWE-908",
"CWE-937"
],
"date": "2022-06-02",
"description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don\u0027t yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
"fixed_versions": [
"2.6.4",
"2.7.2",
"2.8.1"
],
"identifier": "CVE-2022-29205",
"identifiers": [
"CVE-2022-29205",
"GHSA-54ch-gjq5-4976"
],
"not_impacted": "All versions starting from 2.6.4 before 2.7.0, all versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1",
"package_slug": "pypi/tensorflow",
"pubdate": "2022-05-20",
"solution": "Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.",
"title": "Use of Uninitialized Resource",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976",
"https://nvd.nist.gov/vuln/detail/CVE-2022-29205",
"https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9",
"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320",
"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
"https://github.com/advisories/GHSA-54ch-gjq5-4976"
],
"uuid": "c66a6846-5e81-4bca-8956-12ec949a054a"
}
]
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "2.7.2",
"versionStartIncluding": "2.7.0",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "2.6.4",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:2.8.0:rc0:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:2.8.0:rc1:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:2.9.0:rc1:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:2.9.0:rc0:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:2.8.0:-:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-29205"
},
"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. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don\u0027t yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-476"
},
{
"lang": "en",
"value": "CWE-908"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976",
"refsource": "CONFIRM",
"tags": [
"Exploit",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976"
},
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
"refsource": "MISC",
"tags": [
"Release Notes",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4"
},
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
"refsource": "MISC",
"tags": [
"Release Notes",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"
},
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
"refsource": "MISC",
"tags": [
"Release Notes",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
},
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
"refsource": "MISC",
"tags": [
"Release Notes",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9",
"refsource": "MISC",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482",
"refsource": "MISC",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320",
"refsource": "MISC",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 2.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-06-02T19:31Z",
"publishedDate": "2022-05-20T23:15Z"
}
}
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Loading…
The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Loading…
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
Loading…