msrc_cve-2021-41496
Vulnerability from csaf_microsoft
Published
2021-12-02 00:00
Modified
2021-12-28 00:00
Summary
Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19 which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)
Notes
Additional Resources
To determine the support lifecycle for your software, see the Microsoft Support Lifecycle: https://support.microsoft.com/lifecycle
Disclaimer
The information provided in the Microsoft Knowledge Base is provided \"as is\" without warranty of any kind. Microsoft disclaims all warranties, either express or implied, including the warranties of merchantability and fitness for a particular purpose. In no event shall Microsoft Corporation or its suppliers be liable for any damages whatsoever including direct, indirect, incidental, consequential, loss of business profits or special damages, even if Microsoft Corporation or its suppliers have been advised of the possibility of such damages. Some states do not allow the exclusion or limitation of liability for consequential or incidental damages so the foregoing limitation may not apply.
{
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"title": "Additional Resources"
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"category": "legal_disclaimer",
"text": "The information provided in the Microsoft Knowledge Base is provided \\\"as is\\\" without warranty of any kind. Microsoft disclaims all warranties, either express or implied, including the warranties of merchantability and fitness for a particular purpose. In no event shall Microsoft Corporation or its suppliers be liable for any damages whatsoever including direct, indirect, incidental, consequential, loss of business profits or special damages, even if Microsoft Corporation or its suppliers have been advised of the possibility of such damages. Some states do not allow the exclusion or limitation of liability for consequential or incidental damages so the foregoing limitation may not apply.",
"title": "Disclaimer"
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"references": [
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"category": "self",
"summary": "CVE-2021-41496 Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy \u003c 1.19 which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally) - VEX",
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"url": "https://www.first.org/cvss"
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"title": "Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy \u003c 1.19 which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)",
"tracking": {
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"vulnerabilities": [
{
"cve": "CVE-2021-41496",
"cwe": {
"id": "CWE-120",
"name": "Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)"
},
"notes": [
{
"category": "general",
"text": "mitre",
"title": "Assigning CNA"
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"summary": "CVE-2021-41496 Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy \u003c 1.19 which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally) - VEX",
"url": "https://msrc.microsoft.com/csaf/vex/2021/msrc_cve-2021-41496.json"
}
],
"remediations": [
{
"category": "vendor_fix",
"date": "2021-12-28T00:00:00.000Z",
"details": "1.16.6-2:Security Update:https://learn.microsoft.com/en-us/azure/azure-linux/tutorial-azure-linux-upgrade",
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"scores": [
{
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"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"environmentalsScore": 0.0,
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"temporalScore": 5.5,
"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"
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"products": [
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],
"title": "Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy \u003c 1.19 which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)"
}
]
}
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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.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- 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.
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