CVE-2026-87874 (GCVE-0-2026-87874)
Vulnerability from cvelistv5 – Published: 2026-09-09 16:06 – Updated: 2026-09-10 12:50
VLAI
EPSS
VEX
Title
Community.general: community.general: memcached cache plugin deserializes untrusted pickle data from memcached, enabling cache-poisoning remote code execution on the ansible controller
Summary
A flaw was found in the memcached cache plugin of the community.general Ansible
collection. Although its documentation states that records are stored in JSON
format, the plugin performs no explicit serialization and relies on
python-memcached, which pickles values on write and unpickles them on read.
Because memcached is unauthenticated and cache keys are predictable, an attacker
able to reach a network-exposed or shared memcached instance can write a crafted
pickle payload that is deserialized and executed on the Ansible controller when
the poisoned fact cache is next read, leading to remote code execution.
Severity
8.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-09 16:58 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://access.redhat.com/security/cve/CVE-2026-87874 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2530995 | issue-trackingx_refsource_REDHAT |
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Red Hat | Red Hat Ceph Storage 5 |
cpe:/a:redhat:ceph_storage:5
|
||
| Red Hat | Red Hat Ceph Storage 9 |
cpe:/a:redhat:ceph_storage:9
|
||
| Red Hat | Red Hat OpenStack Platform 17.1 |
cpe:/a:redhat:openstack:17.1
|
||
| Red Hat | Red Hat OpenStack Platform 18.0 |
cpe:/a:redhat:openstack:18.0
|
Date Public
2026-09-09 00:00
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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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