Vulnerability-Lookup

FKIE_CVE-2026-23536

Vulnerability from fkie_nvd - Published: 2026-03-20 22:16 - Updated: 2026-07-15 02:18

Severity

7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Summary

A security issue was discovered in the Feast Feature Server's `/read-document` endpoint that allows an unauthenticated remote attacker to read any file accessible to the server process. By sending a specially crafted HTTP POST request, an attacker can bypass intended access restrictions to potentially retrieve sensitive system files, application configurations, and credentials.

References

	URL	Tags
	secalert@redhat.com	https://access.redhat.com/security/cve/CVE-2026-23536
	secalert@redhat.com	https://bugzilla.redhat.com/show_bug.cgi?id=2429302
	0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://access.redhat.com/security/cve/CVE-2026-23536
	0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://bugzilla.redhat.com/show_bug.cgi?id=2429302
	0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-23536.json

Impacted products

	Vendor	Product	Version

JSON

To clipboard

{
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          "vendor": "Red Hat"
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  "cveTags": [],
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    },
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    }
  ],
  "id": "CVE-2026-23536",
  "lastModified": "2026-07-15T02:18:42.913",
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}

CVE-2026-23536 (GCVE-0-2026-23536)

Vulnerability from cvelistv5 – Published: 2026-03-20 21:58 – Updated: 2026-07-15 01:18

Title

Feast: unauthenticated arbitrary file read

Summary

Severity

7.5 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-24 16:08 UTC

CWE

CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Assigner

redhat CNA under the redhat root

CNA scorecard B 82/100 over 1089 records in the last 180 days details

References

3 references

URL	Tags
https://access.redhat.com/security/cve/CVE-2026-23536	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2429302	issue-trackingx_refsource_REDHAT
https://security.access.redhat.com/data/csaf/v2/v…	x_sadp-csaf-vex

Impacted products

1 product

Vendor	Product	Version
Red Hat	Red Hat OpenShift AI (RHOAI)	cpe:/a:redhat:openshift_ai

Date Public

2026-03-20 00:00

Credits

This issue was discovered by Jitendra Yejare (Red Hat).

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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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