RHSA-2021:4913
Vulnerability from csaf_opensuse - Published: 2021-12-02 00:00 - Updated: 2026-09-20 11:18Summary
security update for mailman
Severity
Important
Notes
Title of the patch: security update for mailman
Description of the patch: This security update provides a functional equivalent of RHSA-2021:4913.
The original Red Hat(R) advisory is available from the Red Hat web site at
https://access.redhat.com/errata/RHSA-2021:4913.
Patchnames: RHSA-2021:4913
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
8.8 (High)
Affected products
Recommended
2 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Liberty Linux 7 LTSS:mailman-3:2.1.15-30.el7_9.2.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Liberty Linux 7:mailman-3:2.1.15-30.el7_9.2.x86_64 | — |
Vendor Fix
|
Threats
Impact
low
5.3 (Medium)
Affected products
Recommended
2 products, the same list as for
CVE-2016-6893
Threats
Impact
moderate
7.6 (High)
Affected products
Recommended
2 products, the same list as for
CVE-2016-6893
Threats
Impact
important
References
12 references
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"category": "general",
"text": "Cross-site request forgery (CSRF) vulnerability in the user options page in GNU Mailman 2.1.x before 2.1.23 allows remote attackers to hijack the authentication of arbitrary users for requests that modify an option, as demonstrated by gaining access to the credentials of a victim\u0027s account.",
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"notes": [
{
"category": "general",
"text": "GNU Mailman before 2.1.35 may allow remote Privilege Escalation. A csrf_token value is not specific to a single user account. An attacker can obtain a value within the context of an unprivileged user account, and then use that value in a CSRF attack against an admin (e.g., for account takeover).",
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"text": "In GNU Mailman before 2.1.38, a list member or moderator can get a CSRF token and craft an admin request (using that token) to set a new admin password or make other changes.",
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}
],
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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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