OPENSUSE-SU-2021:0451-1
Vulnerability from csaf_opensuse - Published: 2021-03-19 23:06 - Updated: 2021-03-19 23:06Summary
Security update for python-markdown2
Severity
Moderate
Notes
Title of the patch: Security update for python-markdown2
Description of the patch: This update for python-markdown2 fixes the following issues:
Update to 2.4.0 (boo#1181270):
- [pull #377] Fixed bug breaking strings elements in metadata lists
- [pull #380] When rendering fenced code blocks, also add the
language-LANG class
- [pull #387] Regex DoS fixes (CVE-2021-26813, boo#1183171)
- Switch off failing tests (gh#trentm/python-markdown2#388),
ignore failing test suite.
update to 2.3.9:
- [pull #335] Added header support for wiki tables
- [pull #336] Reset _toc when convert is run
- [pull #353] XSS fix
- [pull #350] XSS fix
- Add patch to fix unsanitized input for cross-site scripting (boo#1171379)
This update was imported from the openSUSE:Leap:15.2:Update update project.
Patchnames: openSUSE-2021-451
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
2 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Package Hub 15 SP2:python2-markdown2-2.4.0-bp152.2.4.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Package Hub 15 SP2:python3-markdown2-2.4.0-bp152.2.4.1.noarch | — |
Vendor Fix
|
Threats
Impact
important
References
10 references
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"text": "markdown2 \u003e=1.0.1.18, fixed in 2.4.0, is affected by a regular expression denial of service vulnerability. If an attacker provides a malicious string, it can make markdown2 processing difficult or delayed for an extended period of time.",
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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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