SUSE-SU-2020:1920-1
Vulnerability from csaf_suse - Published: 2020-07-15 08:56 - Updated: 2026-09-20 13:34Summary
Security update for python-ipaddress
Severity
Important
Notes
Title of the patch: Security update for python-ipaddress
Description of the patch: This update for python-ipaddress fixes the following issues:
- Add CVE-2020-14422-ipaddress-hash-collision.patch fixing
CVE-2020-14422 (bsc#1173274, bpo#41004), where hash collisions
in IPv4Interface and IPv6Interface could lead to DOS.
Patchnames: SUSE-2020-1920,SUSE-SLE-Module-Python2-15-SP1-2020-1920,SUSE-SLE-Module-Python2-15-SP2-2020-1920,SUSE-SLE-Product-HPC-15-2020-1920,SUSE-SLE-Product-SLES-15-2020-1920,SUSE-SLE-Product-SLES_SAP-15-2020-1920
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
7.5 (High)
Affected products
Recommended
24 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Enterprise Storage 6:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Enterprise Storage 7:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Desktop 15 SP1:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Desktop 15 SP2:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise High Performance Computing 15 SP1:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise High Performance Computing 15 SP2:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise High Performance Computing 15-ESPOS:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise High Performance Computing 15-LTSS:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise High Performance Computing 15:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Module for Python 2 15 SP1:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Module for Python 2 15 SP2:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 15 SP1:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 15 SP2:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 15-LTSS:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 15:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 15 SP1:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 15 SP2:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 15:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Manager Proxy 4.0:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Manager Proxy 4.1:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Manager Retail Branch Server 4.0:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Manager Retail Branch Server 4.1:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Manager Server 4.0:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Manager Server 4.1:python-ipaddress-0:1.0.18-3.3.1.noarch | — |
Vendor Fix
|
Threats
Impact
important
References
8 references
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"text": "Lib/ipaddress.py in Python through 3.8.3 improperly computes hash values in the IPv4Interface and IPv6Interface classes, which might allow a remote attacker to cause a denial of service if an application is affected by the performance of a dictionary containing IPv4Interface or IPv6Interface objects, and this attacker can cause many dictionary entries to be created. This is fixed in: v3.5.10, v3.5.10rc1; v3.6.12; v3.7.9; v3.8.4, v3.8.4rc1, v3.8.5, v3.8.6, v3.8.6rc1; v3.9.0, v3.9.0b4, v3.9.0b5, v3.9.0rc1, v3.9.0rc2.",
"title": "CVE description"
}
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"threats": [
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}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.