SUSE-SU-2020:3096-1
Vulnerability from csaf_suse - Published: 2020-10-29 17:08 - Updated: 2020-10-29 17:08Summary
Security update for python-Jinja2
Severity
Important
Notes
Title of the patch: Security update for python-Jinja2
Description of the patch: This update for python-Jinja2 fixes the following issues:
- CVE-2019-10906: Fixed a sandbox escape due to information disclosure via str.format (bsc#1132323).
- CVE-2019-8341: Fixed a command injection in function from_string (bsc#1125815).
Patchnames: SUSE-2020-3096,SUSE-SLE-Manager-Tools-12-2020-3096,SUSE-SLE-Module-Adv-Systems-Management-12-2020-3096,SUSE-SLE-Module-Public-Cloud-12-2020-3096
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
8.1 (High)
Affected products
Recommended
6 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Linux Enterprise Module for Advanced Systems Management 12:python-Jinja2-2.8-19.20.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Module for Advanced Systems Management 12:python3-Jinja2-2.8-19.20.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Module for Public Cloud 12:python-Jinja2-2.8-19.20.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Module for Public Cloud 12:python3-Jinja2-2.8-19.20.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Manager Client Tools 12:python-Jinja2-2.8-19.20.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Manager Client Tools 12:python3-Jinja2-2.8-19.20.1.noarch | — |
Vendor Fix
|
Threats
Impact
important
8.2 (High)
Affected products
Recommended
6 products, the same list as for
CVE-2019-10906
Threats
Impact
important
References
12 references
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"notes": [
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"text": "In Pallets Jinja before 2.10.1, str.format_map allows a sandbox escape.",
"title": "CVE description"
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],
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"SUSE Manager Client Tools 12:python-Jinja2-2.8-19.20.1.noarch",
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"text": "An issue was discovered in Jinja2 2.10. The from_string function is prone to Server Side Template Injection (SSTI) where it takes the \"source\" parameter as a template object, renders it, and then returns it. The attacker can exploit it with {{INJECTION COMMANDS}} in a URI. NOTE: The maintainer and multiple third parties believe that this vulnerability isn\u0027t valid because users shouldn\u0027t use untrusted templates without sandboxing",
"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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