OPENSUSE-SU-2021:0384-1
Vulnerability from csaf_opensuse - Published: 2021-03-05 17:05 - Updated: 2021-03-05 17:05Summary
Security update for mbedtls
Severity
Moderate
Notes
Title of the patch: Security update for mbedtls
Description of the patch: This update for mbedtls fixes the following issues:
- mbedtls was updated to version 2.16.9
- CVE-2020-10932: Fixed side channel in ECC code that allowed an adversary with
access to precise enough timing and memory access information (typically an
untrusted operating system attacking a secure enclave) to fully recover
an ECDSA private key (boo#1181468).
Patchnames: openSUSE-2021-384
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
4.7 (Medium)
Affected products
Recommended
11 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Leap 15.2:libmbedcrypto3-2.16.9-lp152.2.3.1.i586 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:libmbedcrypto3-2.16.9-lp152.2.3.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:libmbedcrypto3-32bit-2.16.9-lp152.2.3.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:libmbedtls12-2.16.9-lp152.2.3.1.i586 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:libmbedtls12-2.16.9-lp152.2.3.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:libmbedtls12-32bit-2.16.9-lp152.2.3.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:libmbedx509-0-2.16.9-lp152.2.3.1.i586 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:libmbedx509-0-2.16.9-lp152.2.3.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:libmbedx509-0-32bit-2.16.9-lp152.2.3.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:mbedtls-devel-2.16.9-lp152.2.3.1.i586 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.2:mbedtls-devel-2.16.9-lp152.2.3.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
References
8 references
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"title": "CVE-2020-10932"
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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.
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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.
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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.
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