GSD-2021-35958
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
** DISPUTED ** TensorFlow through 2.5.0 allows attackers to overwrite arbitrary files via a crafted archive when tf.keras.utils.get_file is used with extract=True. NOTE: the vendor's position is that tf.keras.utils.get_file is not intended for untrusted archives.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-35958",
"description": "** DISPUTED ** TensorFlow through 2.5.0 allows attackers to overwrite arbitrary files via a crafted archive when tf.keras.utils.get_file is used with extract=True. NOTE: the vendor\u0027s position is that tf.keras.utils.get_file is not intended for untrusted archives.",
"id": "GSD-2021-35958",
"references": [
"https://security.archlinux.org/CVE-2021-35958"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-35958"
],
"details": "** DISPUTED ** TensorFlow through 2.5.0 allows attackers to overwrite arbitrary files via a crafted archive when tf.keras.utils.get_file is used with extract=True. NOTE: the vendor\u0027s position is that tf.keras.utils.get_file is not intended for untrusted archives.",
"id": "GSD-2021-35958",
"modified": "2023-12-13T01:23:27.894296Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2021-35958",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "** DISPUTED ** TensorFlow through 2.5.0 allows attackers to overwrite arbitrary files via a crafted archive when tf.keras.utils.get_file is used with extract=True. NOTE: the vendor\u0027s position is that tf.keras.utils.get_file is not intended for untrusted archives."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://vuln.ryotak.me/advisories/52",
"refsource": "MISC",
"url": "https://vuln.ryotak.me/advisories/52"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/b8cad4c631096a34461ff8a07840d5f4d123ce32/tensorflow/python/keras/utils/data_utils.py#L137",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/b8cad4c631096a34461ff8a07840d5f4d123ce32/tensorflow/python/keras/utils/data_utils.py#L137"
},
{
"name": "https://docs.python.org/3/library/tarfile.html#tarfile.TarFile.extractall",
"refsource": "MISC",
"url": "https://docs.python.org/3/library/tarfile.html#tarfile.TarFile.extractall"
},
{
"name": "https://keras.io/api/",
"refsource": "MISC",
"url": "https://keras.io/api/"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/b8cad4c631096a34461ff8a07840d5f4d123ce32/tensorflow/python/keras/README.md",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/b8cad4c631096a34461ff8a07840d5f4d123ce32/tensorflow/python/keras/README.md"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c=2.5.0",
"affected_versions": "All versions up to 2.5.0",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:P/A:P",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-668",
"CWE-937"
],
"date": "2021-07-06",
"description": "TensorFlow allows attackers to overwrite arbitrary files via a crafted archive when `tf.keras.utils.get_file` is used with `extract=True`. NOTE: the vendor\u0027s position is that `tf.keras.utils.get_file` is not intended for untrusted archives.",
"fixed_versions": [],
"identifier": "CVE-2021-35958",
"identifiers": [
"CVE-2021-35958"
],
"not_impacted": "",
"package_slug": "pypi/tensorflow-cpu",
"pubdate": "2021-06-30",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Exposure of Resource to Wrong Sphere",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-35958"
],
"uuid": "3419ac50-a27a-4972-bfda-968304be44a7"
},
{
"affected_range": "\u003c=2.5.0",
"affected_versions": "All versions up to 2.5.0",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:P/A:P",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-668",
"CWE-937"
],
"date": "2021-07-06",
"description": "TensorFlow allows attackers to overwrite arbitrary files via a crafted archive when `tf.keras.utils.get_file` is used with `extract=True`. NOTE: the vendor\u0027s position is that `tf.keras.utils.get_file` is not intended for untrusted archives.",
"fixed_versions": [],
"identifier": "CVE-2021-35958",
"identifiers": [
"CVE-2021-35958"
],
"not_impacted": "",
"package_slug": "pypi/tensorflow-gpu",
"pubdate": "2021-06-30",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Exposure of Resource to Wrong Sphere",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-35958"
],
"uuid": "1e7a5f22-b033-430d-add3-fe9ab7b7138d"
},
{
"affected_range": "\u003c=2.5.0",
"affected_versions": "All versions up to 2.5.0",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:P/A:P",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-668",
"CWE-937"
],
"date": "2021-08-17",
"description": "TensorFlow allows attackers to overwrite arbitrary files via a crafted archive when `tf.keras.utils.get_file` is used with `extract=True`. NOTE: the vendor\u0027s position is that `tf.keras.utils.get_file` is not intended for untrusted archives.",
"fixed_versions": [
"2.5.1"
],
"identifier": "CVE-2021-35958",
"identifiers": [
"CVE-2021-35958"
],
"not_impacted": "All versions after 2.5.0",
"package_slug": "pypi/tensorflow",
"pubdate": "2021-06-30",
"solution": "Upgrade to version 2.5.1 or above.",
"title": "Exposure of Resource to Wrong Sphere",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-35958"
],
"uuid": "30eb3772-6d5d-46fb-b682-329cd5dd21c6"
}
]
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "2988ABC1-B9B2-4142-9DE6-CB591813D2D4",
"versionEndIncluding": "2.5.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "TensorFlow through 2.5.0 allows attackers to overwrite arbitrary files via a crafted archive when tf.keras.utils.get_file is used with extract=True. NOTE: the vendor\u0027s position is that tf.keras.utils.get_file is not intended for untrusted archives"
},
{
"lang": "es",
"value": "** EN DISPUTA ** TensorFlow versiones hasta 2.5.0, permite a atacantes sobrescribir archivos arbitrarios por medio de un archivo dise\u00f1ado cuando se usa la funci\u00f3n tf.keras.utils.get_file con extract=True. NOTA: la posici\u00f3n del proveedor es que la funci\u00f3n tf.keras.utils.get_file no est\u00e1 pensado para archivos no confiables"
}
],
"id": "CVE-2021-35958",
"lastModified": "2024-04-11T01:12:08.343",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.4,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2021-06-30T01:15:07.033",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://docs.python.org/3/library/tarfile.html#tarfile.TarFile.extractall"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/blob/b8cad4c631096a34461ff8a07840d5f4d123ce32/tensorflow/python/keras/README.md"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/blob/b8cad4c631096a34461ff8a07840d5f4d123ce32/tensorflow/python/keras/utils/data_utils.py#L137"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://keras.io/api/"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://vuln.ryotak.me/advisories/52"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-22"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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…