SUSE-SU-2017:0569-1
Vulnerability from csaf_suse - Published: 2017-02-27 12:58 - Updated: 2026-09-20 12:23Summary
Security update for python-pysaml2
Severity
Moderate
Notes
Title of the patch: Security update for python-pysaml2
Description of the patch:
This update for python-pysaml2 fixes the following issues:
- CVE-2016-10127 and CVE-2016-10149: XXE (XML external entity) issues
were fixed in python-pysaml2, where external requests to other XML content
could be made by parsing XML files using this SAML2 library. (bsc#1019074)
To fix this bug, the new dependency python-defusedxml was added and is used for sanitizing XML content.
Patchnames: SUSE-OpenStack-Cloud-6-2017-298
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
9 (Critical)
Affected products
Recommended
2 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE OpenStack Cloud 6:python-defusedxml-0:0.4.1-2.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE OpenStack Cloud 6:python-pysaml2-0:2.4.0-3.1.noarch | — |
Vendor Fix
|
Threats
Impact
important
7.5 (High)
Affected products
Recommended
2 products, the same list as for
CVE-2016-10127
Threats
Impact
important
References
11 references
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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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