SUSE-SU-2021:2145-1
Vulnerability from csaf_suse - Published: 2021-06-23 14:51 - Updated: 2021-06-23 14:51Summary
Security update for libsolv
Severity
Moderate
Notes
Title of the patch: Security update for libsolv
Description of the patch: This update for libsolv fixes the following issues:
Security issues fixed:
- CVE-2019-20387: Fixed heap-buffer-overflow in repodata_schema2id (bsc#1161510)
- CVE-2021-3200: testcase_read: error out if repos are added or the system is changed too late (bsc#1186229)
Other issues fixed:
- backport support for blacklisted packages to support ptf packages and retracted patches
- fix ruleinfo of complex dependencies returning the wrong origin
- fix SOLVER_FLAG_FOCUS_BEST updateing packages without reason
- fix add_complex_recommends() selecting conflicted packages in rare cases
- fix potential segfault in resolve_jobrules
- fix solv_zchunk decoding error if large chunks are used
Patchnames: SUSE-2021-2145,SUSE-SLE-SERVER-12-SP2-BCL-2021-2145
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Recommended
6 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Linux Enterprise Server 12 SP2-BCL:libsolv-devel-0.6.37-2.27.24.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 12 SP2-BCL:libsolv-tools-0.6.37-2.27.24.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 12 SP2-BCL:libzypp-16.21.4-27.75.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 12 SP2-BCL:libzypp-devel-16.21.4-27.75.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 12 SP2-BCL:perl-solv-0.6.37-2.27.24.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 12 SP2-BCL:python-solv-0.6.37-2.27.24.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
low
Affected products
Recommended
6 products, the same list as for
CVE-2019-20387
Threats
Impact
important
References
12 references
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"cve": "CVE-2019-20387",
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"text": "https://www.suse.com/security/cve/CVE-2019-20387"
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"text": "repodata_schema2id in repodata.c in libsolv before 0.7.6 has a heap-based buffer over-read via a last schema whose length is less than the length of the input schema.",
"title": "CVE description"
}
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}
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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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